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Location: New York, NY Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: We’re seeking an experienced Algo Trading / SOR Developer to join our team in New York. You will have a proven track record of building and benchmarking execution algorithms from the ground up. Ideally, you’ve been actively engaged with the crypto markets, or have a strong curiosity about them. In this role, you will take a lead in developing greenfield algorithmic trading systems, shaping the core of our next-generation trading infrastructure. You’ll work closely with trading teams, stakeholders, and external partners to deliver critical initiatives that drive our business forward. If you’re a natural problem-solver with a passion for hands-on technical development in a global, fast-paced environment, we want to hear from you. What You’ll Do: Design and development of a low-latency, high-throughput EMS/Smart Order Router system Implement intelligent routing algorithms based on execution quality, liquidity, latency, and cost Collaborate with traders and product managers to refine routing logic and build new algorithmic capabilities Monitor and optimize system performance under real-world trading conditions Contribute to system resilience and business continuity Provide support for production trading issues Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work. What We’re Looking For: 8+ years of experience developing routing strategies for specific markets (e.g., FX Markets, crypto exchanges) in Java. Knowledge of tick data analytics and real-time market data processing. Familiarity with cloud-based market access or hybrid deployments. Experience working in high-frequency or algorithmic trading environments. Experience building low-latency systems and working with multicast/unicast market data feeds. A solid understanding of the application and infrastructure stack associated with electronic and algorithmic trading. Strong technical background, with the ability to understand system architecture and technical workflows. Proficiency with trading system architecture (OMS/EMS, market gateways). Strong understanding of concurrency, networking, and memory management. Experience with Linux systems and performance profiling tools. A proactive, problem-solving mindset and the ability to thrive in a fast-paced, collaborative environment. Bonus Points: Experience in the DeFi, or crypto Experience with trade internalization and crossing networks Exposure to regulatory or compliance-driven environments. Familiarity with cloud-based infrastructure (e.g., AWS, GCP) or DevOps processes. What We Offer: Competitive base salary and discretionary bonus Hybrid/Flexible Working Arrangements Flexible Time Off (paid) 3% 401(k) company contribution Company-paid health and protective benefits for employees, partners, and other dependents Generous paid Parental Leave Competitive family planning benefits for US employees Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Free daily snacks and weekly breakfasts/lunches Employee Resource Groups Free coaching and counseling sessions through Headspace Apply now and join us as we grow the economy that runs on code. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $180,000 — $230,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

We are a global algorithmic trading firm with an advanced technology stack, driving the full trading cycle — from market research and strategy design to algorithm development and software engineering. Our strength lies in deep market expertise and the continuous evolution of our infrastructure to stay ahead of the industry. Responsibilities: — Work through high-level business and technical requirements with the product, trading, and engineering teams, then build the resulting platform features. — Design, build, and maintain core platform components in Rust: exchange and broker gateways, data pipelines, monitoring tools, and algo trading infrastructure. — Optimize latency, throughput, and stability based on measurements and load testing. Low latency, reliability, and determinism are hard requirements. — Add observability to new components (metrics, logs, tracing, alerts, dashboards) so execution issues get caught early. — Diagnose incidents in the trading loop, find the root cause, write up the analysis, and fix the problem so it does not recur. — Ensure quality through automated (unit, integration, performance) and manual testing with QA, and maintain the test harnesses and integration suites that validate scenarios before production. — Document modules, service contracts, integration rules, and operational runbooks. — Help design and decompose features and epics, taking the product and trading side and operational risk into account. Qualifications: — 5+ years of relevant experience building low-latency, high-reliability systems. — Extensive experience in Rust. — Good understanding of computer systems and software architecture: Linux, networking, data structures and algorithms, concurrent and parallel programming, distributed computing, and performance optimization. — Strong engineering fundamentals and a preference for readable, maintainable code and sensible testing. — Takes ownership of tasks through to production and works to clear blockers, including pushing peers when needed. — Higher technical education or equivalent professional experience. Nice to have: — Familiarity with a trading domain: market data, trading protocols, operational risk. What we offer: — Remote-first: work from anywhere. — Tech-driven environment: no bureaucracy, legacy systems, or tech debt. — Growth & development: work with top talent in a fast-paced, innovation-driven culture. — Perks: medical insurance, sports benefits, home office setup, and educational support.

Location: Natchitoches, Louisiana Workplace: hybrid About Lyra   Lyra Clinical Associates partners with Lyra Health, a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Lyra members have access to care in one day, and nine out of ten improve with the support of providers like you. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. You will be contracted by Lyra Clinical Associates. About the Opportunity Lyra’s provider network is composed of in-person and virtual therapists, physicians, and coaches across the US. With our advanced matching technology, supportive provider platform, and opportunities for training and clinical consultation, being part of our network is an incredible chance to do what you love (like patient care) with support for the things you don’t love (like self promotion and scheduling).   We are looking for contract psychiatrists who are passionate about whole-person, whole family mental health care and working within a connected network to provide patients with easily accessible, culturally responsive, high-quality mental health care.    As a contract psychiatrist, you’ll provide evidence-based treatment via live 60-minute video intake appointments and regular follow-up appointments. You'll conduct psychiatric evaluations and provide medication management. Lyra makes it easy to refer patients to evidence-based therapy and coaching services in tandem with your care.   You will provide care to individuals from a multitude of different backgrounds and experiences, as well as those with varying needs and abilities. We strive to continue to meet their unique needs by delivering culturally-responsive care—an approach that is mindful of the impact of cultural background on each person’s care experience.   We’re currently prioritizing hiring in Delaware, New Jersey, and Pennsylvania. Requirements: Graduate from an accredited (CCNE) Psychiatric-Mental Health Nurse Practitioner (PMHNP) program; OR graduate from an accredited PA program (ARC-PA) with certification through PANCE with preference for Certificate of Added Qualifications in psychiatry, post-graduate fellowship in psychiatry, or other academic psychiatry certificate program completion, including a Doctor of Medical Science with Psychiatry concentration Unrestricted state license A minimum of 2 years in practice Strong preference for NPs and PA-Cs with an active DEA license Preference for NPs and PA-Cs with additional certification or clinical experience with minors Must have office space with ability to see clients in Natchitoches, LA Ability to provide care to patients with a full range of diagnoses, clinical complexity, and severity levels, with a preference for providers who offer in-person options Full-time resident of the United States Here are some of the advantages to joining the Lyra provider network: Connect with highly compatible clients thanks to Lyra’s powerful matching algorithm technology Set your own schedule, without a minimum hours requirement Let Lyra clients easily book appointments with the Lyra Calendar feature, which seamlessly integrates with your calendar Focus less on the administrative burden of billing with Lyra’s paperless billing and quick payment turnaround Access Lyra’s experienced clinical consultations team to get rapid support with your Lyra clients as well as access a range of specialty group consultation meetings Have peace of mind with Lyra’s 24/7 Care Navigation team for crisis support Upskill your knowledgebase with access to Lyra’s large collection of free and relevant CE credited courses approved by APA, ASWB, and NBCC Stay in the know with monthly newsletters and robust Help Center resources just for Lyra providers Access to exclusive provider events with Lyra’s clinical leaders Responsibilities Practice comprehensive mental health medication management via a 60-minute intake appointment and regular follow-up appointments Conduct mental health risk assessments, psychiatric medication evaluations, and longitudinal medication treatment Construct patient-centered treatment plans, document treatment recommendations, message patients, and prescribe and manage psychiatric medications Experience and commitment to providing, evidence-based medication treatment that follows clinical best practice guidelines (e.g., measurement based care, patient-centered care We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law. By applying for this contract position, your data will be processed as per Workforce Privacy Notice. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. For more information about how we use and retain your information, please see our Workforce Privacy Notice.

Location: Hong Kong SAR; Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Job responsibilities Red-blue confrontation drill Responsible for developing and executing penetration testing, red-blue confrontation, and practical attack and defense drills that simulate real attack scenarios, identifying potential security risks in enterprise networks, applications, cloud environments, work networks, and core business systems. Lead or participate in red-blue confrontation exercises to evaluate the defense team's ability in attack detection, alarm analysis, traceability analysis, emergency response, and recovery. Based on the real attack chain design exercise scenario, covering extranet breakthrough, web vulnerability exploitation, phishing entrance, privilege escalation, lateral movement, Data Discovery, privilege maintenance, and defense bypass stages. Combining the attack review results, promote the continuous optimization of security detection rules, response processes, asset governance, and security base lines. Attack Surface Analysis and Threat Research Identify enterprise network exposure, internet assets, cloud assets, APIs, supply chain components, and third-party access risks, evaluate attack paths, and provide mitigation recommendations. Monitor and collect threat intelligence, track vulnerability exploitation trends, APT attack methods, red team toolchain changes, and apply them to enterprise attack and defense exercises. Combining business scenarios to model attack paths and discover feasible attack chains from external exposure surfaces to core assets. Tracking AI-related security risks, including security issues in large-scale model applications, RAG systems, Agent systems, plug-in/tool calls, MCP services, AI code generation, and automated workflows. AI Security and Large Model Attack and Defense Responsible for the security evaluation of AI applications, intelligent agent systems, RAG Knowledge Base, AI Agent toolchain and model services within the enterprise. Research and verify large-scale model-related attack techniques, including Prompt Injection, Jailbreak, Indirect Prompt Injection, data leakage, unauthorized tool invocation, security risks caused by model illusions, RAG poisoning, vector library pollution, sensitive information leakage, etc. Design AI red team test cases and evaluation framework, and conduct security verification on model input and output, context isolation, permission control, tool call chain, and data access boundary. Participate in the construction of AI security protection plan, including prompt word security policy, content security detection, tool call permission constraints, sensitive data desensitization, audit tracking, Agent sandbox isolation and security evaluation benchmark construction. Explore the application of AI in red team automation, vulnerability analysis, attack path planning, PoC verification, and report generation, and promote the platformization, automation, and intelligence of attack and defense capabilities. Tool and platform development Develop and optimize Red Team-specific tools and scripts for vulnerability mining, information collection, privilege escalation, lateral movement, credential analysis, traffic disguise, defense bypass, and automated report generation. Study and validate new attack techniques, and simulate real threats in combination with enterprise business scenarios. Build or participate in the construction of automated security evaluation platform, integrated vulnerability scanning, audio fingerprint recognition, asset mapping, PoC verification, attack path analysis, AI Agent arrangement and other capabilities. Combining LLM/Agent technology to explore automated penetration testing, intelligent vulnerability verification, code security auditing, and red team task scheduling. Security evaluation and reporting Conduct security evaluations on critical business systems, internal networks, cloud environments, work end points, API services, and AI applications, and output detailed technical reports, attack paths, impact analysis, and repair recommendations. Output AI security evaluation reports for AI applications, including attack examples, risk levels, exploitable paths, data leakage risks, permission boundary issues, and governance recommendations. Assist in improving enterprise security protection mechanisms, promote optimization of WAF, EDR, SIEM, NDR, HIDS, zero trust, identity permissions, and log auditing capabilities. Transform attack and defense discovery into security detection rules, base line specifications, develop security requirements, and continuous governance mechanisms. XFN collaboration Collaborate with the blue team, security operation, infrastructure, R & D, algorithm, data, and business teams to complete attack review, vulnerability repair, detection rule optimization, and security capability building. Provide security support to other departments of the enterprise, including emergency response drills, development security consulting, AI application pre-launch security review, and security training. Participate in the security design review of AI applications and security products, and promote the advance of security capabilities in R & D, testing, and Pushonline. Job requirements Basic skills Proficient in basic knowledge of cyber security, including TCP/IP protocol, network architecture, identity authentication, access control, principles and configurations of common security devices. Proficient in common attack techniques and red team toolchains, such as Sliver, Cobalt Strike, NPS, Burp Suite, Metasploit, Nmap, Masscan, Frida, Impacket, etc. Familiar with mainstream operating systems Windows, Linux, macOS security mechanism, log system, permission model and common use. Familiar with common web frameworks, API architectures, microservice structures, containers, and security risks in Kubernetes environments. Offensive and defensive technical capabilities Proficient in penetration testing and red team processes, including information collection, vulnerability scanning, vulnerability exploitation, intranet penetration, privilege escalation, lateral movement, privilege maintenance, Data Discovery, and trace cleaning. Familiar with the working principles and adversarial methods of enterprise-level security products, including WAF, EDR, SIEM, NDR, HIDS, zero-trust gateway, bastion host, and identity authentication system. Possess independent vulnerability analysis and PoC writing capabilities, able to reproduce, verify, and assess the impact of public vulnerabilities and 0day/1day risks. Proficient in one or more programming/scripting languages, such as Python, Go, Bash, PowerShell, JavaScript, etc., with experience in tool development and automation platform construction. AI security capabilities Familiar with the basic architecture of large-scale model applications, familiar with technical forms such as Prompt, RAG, Embedding, vector databases, Agent, Function Calling, MCP, and plugin systems. Understand or practice AI security testing methods, including Prompt Injection, Jailbreak, RAG data poisoning, sensitive information leakage, unauthorized tool invocation, model output security, Agent permission escape, etc. Able to design security test cases for AI applications, evaluate model input/output, context isolation, data boundaries, permission control, and tool invocation chain risks. Experience in using AI to assist security work, including vulnerability analysis, code auditing, intelligence analysis, attack path planning, report generation, or automated testing. Familiar with AI application security governance ideas, including model call auditing, prompt word security, sensitive data protection, content security detection, permission minimization, and sandbox isolation. Experience requirements More than 5 years of experience in red team, penetration testing, security research, or offensive and defensive exercises. Candidates with experience in large-scale enterprise attack and defense drills, red-blue confrontation, HW/major support, cloud attack and defense, or intranet penetration are preferred. Candidates with experience in AI security, large-scale model security, intelligent agent security, automated penetration testing platform or security tool platform construction are preferred. Familiar with enterprise security construction system, able to promote defense capability, detection capability, and governance process optimization from an attack perspective. Other capabilities Priority will be given to those who hold security-related certifications such as ♀ P, OSCE, CISSP, CISP, CEH, CISSP, CCSP, etc. Possess strong document writing and expression abilities, able to output high-quality technical reports, review documents, attack chain analysis, and security construction plans. Possess good problem analysis ability, learning ability, teamwork ability, and stress resistance. Be sensitive to new technologies, new Attack Surfaces, and new tools, and be able to proactively research and share internally. Bonus points Familiar with Cloud Computing Platform security and cloud attack and defense technologies, such as AWS, Azure, GCP, Tencent Cloud, Alibaba Cloud, etc. Familiar with Kubernetes, containers, Service Mesh, CI/CD, DevSecOps and supply chain security. Possess experience in zero trust, secure operation, threat hunting, Attack Surface management, and vulnerability management platform construction. Familiar with MCP Server, AI Agent framework, RAG system, vector database, LLM API gateway, model security evaluation framework. Experience in Automated Red Team, AI Penetration Testing, Intelligent Vulnerability Verification, Agent Orchestration, Security Knowledge Base or Security RAG System Construction. Experience in vulnerability submission, CVE, technical articles, open source projects, topic sharing, or tool release in the security community. Familiar with security frameworks such as MITRE ATT & CK, OWASP Top 10, OWASP LLM Top 10, NIST AI RMF, etc. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Singapore WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: Our distributed platform combines high-performance storage, compute, and service layers for processing and serving massive, structured, time-series datasets - built in C++ with a distributed system architecture, real-time streaming, RPC-based data transfer, and columnar on-disk storage that powers data processing and analytics workflows. Design, develop, and maintain core components across our distributed storage, compute, and service platforms - including storage engines, query and compute execution, RPC/networking layers, and distributed coordination (routing, partitioning, replication). Partner with internal stakeholders across research and engineering teams to translate data-access, compute, and performance requirements into concrete design and implementation work. Investigate and resolve production issues - from correctness bugs to performance regressions. Participate in code review, system design, feature development, and productionization. What You'll Bring: Degree in Computer Science or a related field. 2+ years of professional software engineering experience. Strong fundamentals in data structures, algorithms, and systems-level thinking (memory management, concurrency, I/O). Proficiency in modern C++ (C++11 or higher); comfort with STL. Solid working knowledge of UNIX/Linux development environments. Experience using AI-assisted coding tools (e.g., Claude Code, OpenCode) to accelerate development. A clear, proactive communicator who works well with a globally distributed team. Nice to Have: Python Exposure to distributed systems concepts (replication, sharding, consensus), query/compute engines, or columnar/analytical storage formats. Experience with RPC frameworks. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Annapolis, MD The Patient Access Associate (PAA) is a hospital-based, non-clinical healthcare professional who serves as the first point of contact for patients. In this pivotal role, the PAR ensures a positive patient experience during the registration and admission processes by accurately collecting essential demographic and financial information. 1. Patient Identification and Documentation: · Greet patients and visitors courteously and professionally. · Accurately identify patients in the Master Patient Index to reduce erroneous duplicate medical records, maintaining a 98% accuracy rate in medical record creation. · Update demographics per legal identification. · Verify the information on armbands before placing them on patients. · Explain all required documents verbally, obtain signatures appropriately, and document any inability to obtain signatures correctly, including immediate scanning into EMR, per process. · Process all ‘unable to sign’ consents per process, including following legal algorithms to research and communicate with patient contacts to obtain appropriate surrogate; escalate to next steps (Care Management) when unable to find surrogate. 2. Patient Registration and Insurance Verification: · Conduct face-to-face interviews to accurately obtain and process patient demographic and financial information, maintaining a minimum accuracy rate of 97% for error-free registrations. · Process and act on Real-Time Eligibility (RTE) messages, including adding, terminating, and correcting coverages. · Identify all true self-pay patients accurately and forward to Medicaid eligibility and application staff, ensuring only true self-pay patients are screened. · Scan all required documents into patient records and place HAR notes on accounts when necessary. · Identify and resolve insurance verification issues, informing patients of available options, including financial assistance. 3. Regulatory Compliance and Customer Service: · Ensure all patients receive necessary regulatory information and enter appropriate documentation in the EMR (e.g., HIPAA, Patient Rights Brochure, IMM, NOOS, ABN, etc.). · Explain hospital policies, procedures, and financial responsibilities to patients and their families, providing excellent customer service. 4.       Appointment Scheduling: · Schedule appointments, surgeries, and other medical procedures according to patient and provider preferences. · Verify insurance coverage and obtain pre-authorizations as needed. 5.       Financial Communication: · Communicate financial responsibilities to patients and collect funds in accordance with established protocols. · Make referrals to Charity Care and Medical Assistance when needed. 6.       Workflow Management: · Answer and direct incoming and external calls promptly. · Independently prioritize work, including work queue management, patient registrations, insurance verification, and other assigned tasks to meet performance and productivity standards within department deadlines. · Identify and correct errors in accounts using appropriate tools (e.g., NextBar, OneSource). 7.       Meeting and Training Participation: · Attend departmental staff meetings or watch videos when absent. · Attend all required in-person training/in-services and complete all educational assignments within the required timeframe. · Read and respond to emails during each shift. 8.       Adherence to Policies: · Adhere to hospital policies and procedures, including timely arrival, minimal absences, appropriate attire, readiness for work, and minimal personal electronic usage. · Adhere to the RISE values. Contribute to a positive work environment that promotes teamwork, collaboration, professionalism, and continuous improvement. 9.       Additional Responsibilities: · Perform other duties as assigned by the Director, Manager, or Supervisor. Experience/Education/Certification Requirements: High school diploma or equivalent. 0–11 months of direct Patient Access or healthcare registration experience. Strong verbal and written communication skills to interact with patients, families, and clinical teams. Demonstrated ability to work both independently and collaboratively in a high-paced healthcare environment. Excellent attention to detail and accuracy in data entry and documentation. Compassionate, patient-centered approach to service delivery. Must obtain Certified Patient Access Specialist (CPAS) certification within 8 months of hire. There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands – Light Work – Exerting up to 20 pounds of force occasionally and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects. The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position.  This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Pay Range $17.50 — $24 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Hong Kong SAR; Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Job Description Participate in the design and optimization of the MasterCard/VISA card issuance business system to improve system performance and development efficiency, ensuring high availability, maintainability, and scalability of the system. Involved in the design and implementation of multiple subsystems in card issuance business, including card application, card management, reconciliation, etc., ensuring clear boundaries between modules for easy expansion to support rapid business growth. Drive rapid business development and efficient iteration through continuous technological research and innovation. Responsible for stability construction, ensuring high stability of card application and card management; guaranteeing the performance and accuracy of card transaction reconciliation. Job Requirements 3-5 years of work experience, a bachelor's degree or above in computer software or related fields. Solid foundation in Java programming, mastery of common design patterns, and multithreading programming; familiar with common Java open-source frameworks (Spring/Spring Boot, Mybatis). Understanding of computer principles, with a good foundation in data structures and algorithms. Practical experience in developing highly available applications based on databases, caches, message middleware, and microservices. Proficient in the use of databases like Mysql/Oracle, with some SQL tuning abilities. Capable of analyzing and designing general system modules. Passion for technology, meticulous and rigorous at work, with a strict requirement for system quality. Good at communication, adept at cross-team and cross-cultural collaboration, proficient in English/Mandarin/Cantonese. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Job Responsibilities End-to-End Fund Risk Strategy System Building Responsible for fund security across all business lines (e.g., wealth management, trading, RWA, and other core products). Build real-time, layered risk control decision strategies based on device fingerprints, behavioral time-series, transaction chains, relationship graphs, and network features. Risk Data Analysis, Loss Quantification & Adversarial Review Leverage massive transaction data in Hive using SQL and Python to conduct risk case mining and black market attack chain reconstruction. Continuously monitor core metrics: actual loss rate, interception rate, false positive rate; identify strategy gaps and produce thematic analysis reports. Strategy Design, Gray Release Experimentation & Iterative Deployment Design rule-based strategies; manage gray-release traffic allocation, A/B experiment design, and effectiveness evaluation. Drive strategy integration into the real-time decision engine for production launch. Continuously counter black market actors, forming a closed loop of risk identification → intervention → post-mortem → iteration. Major Loss Incident Emergency Response Participate in emergency triage for major online fund security incidents: stop the bleeding, trace the risk source, and implement urgent blocks. Accumulate black market intelligence and gang characteristics to build risk feature libraries and intelligence databases. Cross-Team Collaboration & Risk Control Capability Building Coordinate with algorithm, product, engineering, compliance, and anti-fraud operations teams. Integrate machine learning models, device fingerprinting, and behavioral sequence capabilities to optimize the decision system. Abstract common risk control capabilities and drive the construction of feature platforms and risk control middle platforms. Risk Metrics System Construction Build scenario-based risk monitoring dashboards, establish anomaly fluctuation early-warning mechanisms, and drive long-term risk governance initiatives. ────── Job Requirements Basic Qualifications Bachelor's degree or above; Statistics, Mathematics, Computer Science, Financial Engineering, or Data Science preferred; Master's degree preferred. 3–6 years of hands-on experience in payment / internet fund security / transaction anti-fraud risk control strategy. Experience at Alipay, WeChat Pay, leading consumer finance companies, or bank online payment risk control is preferred. Skills & Capabilities Proficient in complex SQL (Hive/MaxCompute); skilled in Python for data mining and feature analysis; able to independently complete risk quantification calculations and experiment evaluation. Deep understanding of payment risk scenarios: account takeover (ATO), telecom fraud, money mule/fund running, abnormal batch transactions. Familiar with real-time risk control pipelines, strategy deployment processes, and metrics evaluation frameworks. Possesses an adversarial mindset; able to proactively detect emerging black market tactics from massive data. Excels at finding the optimal balance among financial loss, false interceptions, and business conversion. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: New York City Workplace: Hybrid About Stepful: Stepful is a workforce platform redefining how America's largest health systems build, train, and retain their talent. Since our founding in 2021, Stepful’s trained over 32,000 practice-ready healthcare workers. Layering onto our successful direct-to-consumer training, Stepful partners with leading healthcare institutions to address the growing national shortage of healthcare workers. We’re improving access to quality healthcare for everyone, everywhere, and improving access to healthcare career ladders for those who need them most. Our students form the talent pipelines for major employers such as NY-Presbyterian, Mt. Sinai, HCA, Providence, CVS, and Walgreens. We have partnerships with half of the top 10 health systems in the US and are in process with many more. Stepful is backed by Y Combinator, Reach Capital, and AlleyCorp, with a recent $55M Series C led by Oak HC/FT https://www.stepful.com/post/stepful-announces-55m-series-c-to-scale-its-ai-powered-training-platform-across-the-healthcare-workforce. We were named the #1 EdTech company in the U.S. by TIME for 2025 https://www.stepful.com/post/stepful-named-1-edtech-company-in-us-top-10-globally-times-2025-list. Our values: We credit much of our success to our exceptional team. We’re looking for mission-driven builders who thrive in fast-paced, ambiguous environments, and embody our four core values: - Care first: We do whatever it takes for our students to succeed. - Learn quickly: We test, learn with data, and iterate. - Build together: We win when we rely on each other. - Own it: We show up, take initiative, and show pride. The opportunity: We’re looking for a data-driven and creative Manager to take full ownership of some of our key paid channels. This role is perfect for someone who thrives in a startup environment—rolling up their sleeves, testing fast, scaling what works, and pushing boundaries to hit ambitious growth targets. You’ll manage high-velocity campaigns across Meta, Google, YouTube, and emerging platforms, with direct access to our in-house production studio and a talented creative team to bring bold ideas to life. If you love pairing data with storytelling—and want to see your work drive measurable impact on thousands of students’ lives—this is your stage. This hybrid opportunity is based out of our NYC office, reporting directly into our VP of Growth. What you’ll do: - Own end-to-end paid media strategy across Meta, Google, and potential new channels. From planning through launch, optimization, and scale. - Build and drive a continuous testing roadmap across different tactics, audiences, creative, messaging, and landing pages, translating results into actionable insights. - Manage our Search agency, holding them accountable to performance goals and roadmap execution. - Monitor performance daily, optimizing toward CAC and ROI targets while proactively identifying new growth opportunities. - Own weekly KPI reporting, surfacing trends, efficiencies, and scaling opportunities, and sharing learnings across the team. - Diagnose performance fluctuations and pinpoint the channel and business-level factors driving them. - Partner with the creative teams and external agencies to rapidly produce high-performing video, UGC, influencer, and static assets. - Stay current on platform updates, algorithm shifts, and industry trends to keep our paid social strategy ahead of the curve. - Drive new acquisition and full-funnel growth ideas, playing an active role in shaping and running experiments. What you’ll bring: - 4+ years of hands-on experience scaling paid social and paid search at a D2C startup, ideally managing $1M+ monthly budgets. - A track record of driving efficient growth (CAC, ROI, LTV) while scaling spend. - Strong project management skills, with the ability to handle multiple initiatives at the same time. - Comfort with tactical execution and strategic thinking—you can set the plan and run it yourself. - Sharp communicator, able to flag risks and opportunities to internal stakeholders and manage day-to-day agency relationships. - High attention to detail, with a habit of catching and preventing errors before they become problems. - Experience managing external creative agencies, briefing them effectively, and providing sharp, actionable feedback that helps them iterate toward higher-performing ads. - Ruthlessly analytical. You dig into performance data to uncover insights, and know exactly which levers to pull to optimize campaigns at scale. - Able to translate data into a clear narrative, making it actionable for both day-to-day decisions and broader team alignment. Bonus points if: - You’ve worked in EdTech, healthcare, or another mission-driven B2C industry - You geek out over testing frameworks, UGC trends, and performance marketing communities Interview Process: - Introductory call with Talent Acquisition team member - Interview with Hiring Manager - Take-Home Assignment - Virtual Panel Interview - On-Site Panel Interview Benefits and Compensation: - Meaningful Equity Stake - Subsidized Medical, Dental, and Vision insurance plan options - 401(k) - FSA, HSA and commuter benefits - Open vacation policy, including: - Guidance of 15 days PTO annually - Stepful closed the last week of December - 15 work-from-anywhere days - 10 public holidays observed for 2025 The target base salary range for this opportunity is $120,000 - $140,000, and is part of a competitive total rewards package including performance-based bonus, equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, internal pay equity and other relevant business considerations. Stepful is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. -- In light of recent hiring scams, if you're selected to move onto the next phase of our hiring process, a member of our Talent Acquisition team will reach out to you directly from an @stepful.com email address to guide you through our interview process.

Location: Serbia; Poland; Georgia; Cyprus; Portugal; Spain We are looking for a Senior ML Engineer / ML Lead to join the small, elite team of engineers and researchers building ML-driven trading strategies in the cryptocurrency markets. The system is currently live in production, showing strong results, and scaling rapidly. We are looking for an exceptional expert to take ownership of the product, evolve our architecture, and exponentially scale the profitability of our models. You will be working directly on real PnL. This position is designed for someone who wants to see the direct financial impact of their work, thrives in an environment of high autonomy, and is committed to writing high-performance code and building sophisticated mathematical models. Responsibilities • Develop and optimise the ML architecture for our trading strategies. • Drive the full research cycle: independently generate hypotheses, implement them into production, and monitor real-world performance/profitability. • Refine and improve existing ML models to boost effectiveness. • Identify and eliminate bottlenecks in data processing pipelines and execution strategies. Tech Stack • Python (primary language) • NumPy, numba, PyTorch / JAX Requirements • Experience in a Senior ML Engineer or ML Lead role. • Proven track record of developing profitable ML models or trading strategies. • Fundamental knowledge of mathematics, statistics, and probability theory. • Ability to operate in high-uncertainty environments: formulating your own hypotheses and validating them against data. • Experience in writing high-performance, production-ready code. Nice to Have • Experience in algorithmic trading or deep domain expertise in cryptocurrency markets. • Proficiency in C++ (specifically for reading and optimizing latency-critical code paths). • Strong academic background: competition accolades, Kaggle achievements, scientific publications, or graduation from a top-tier DS program (e.g., SHAD). • Interest in mentoring and team development. Benefits • Zero bureaucracy, high autonomy, and the chance to work alongside people who share a scientific approach and a commitment to high-quality engineering. • The opportunity to directly influence the product and see the results of your work reflected in real financial outcomes.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through meaningful insights into their bodies and daily lives, transforming the way they approach health and performance. WHOOP is seeking a highly skilled Staff Systems Engineer to join our Systems Engineering team within the hardware organization. This role is responsible for driving system architecture and technical strategy across current and future wearable platforms, partnering closely with Electrical, Mechanical, Firmware, Signal Processing, Product, Manufacturing, and Quality teams to deliver exceptional member experiences. As a senior technical leader, you will solve complex cross-disciplinary challenges, establish engineering best practices, and influence the long-term direction of WHOOP hardware through deep systems thinking and collaborative leadership. RESPONSIBILITIES: - Define and drive system architecture across multiple hardware programs, ensuring alignment between product goals, technical feasibility, and long-term platform strategy. - Lead cross-functional technical decision-making across Electrical, Mechanical, Firmware, Signal Processing, Manufacturing, and Product teams to resolve complex system-level challenges. - Own the development and evolution of system requirements, interface definitions, and architecture documentation, ensuring traceability throughout the product lifecycle. - Develop system verification and validation strategies that confirm product performance, reliability, and compliance with system requirements. - Lead architecture and design reviews, providing technical guidance that improves system performance, scalability, manufacturability, and reliability. - Identify technical risks early, develop mitigation strategies, and influence product roadmaps through data-driven engineering recommendations. - Serve as a technical mentor and trusted advisor across the hardware organization, elevating systems engineering practices and helping develop engineers through design reviews, coaching, and technical leadership. - Partner with external suppliers, manufacturing partners, and cross-functional stakeholders to ensure successful execution from concept through production. - Travel up to 15% domestically and internationally to collaborate with partners, suppliers, and manufacturers. QUALIFICATIONS: - 8+ years of experience in electrical systems engineering, hardware design, or a related domain. - Demonstrated experience defining system architecture for complex, highly integrated electronic products from concept through production, ideally in high-volume manufacturing environments. - Deep understanding of hardware system integration and V&V testing across electrical, firmware, mechanical, sensing, and algorithm domains. - Proven ability to lead technical direction across multiple cross-functional teams without direct organizational authority. - Experience developing system requirements, interface definitions, verification strategies, and validation plans for complex hardware systems. - Excellent written and verbal communication skills, with the ability to influence technical and business stakeholders at multiple levels. - Experience with schematic/layout reviews, and laboratory equipment for hardware bring-up, debugging, and validation. - Experience mentoring senior engineers and establishing systems engineering best practices across an organization. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $175,000 - $215,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Lisbon, Portugal JoomPulse is an AI analytics tool for Mercado Livre and Shopee sellers, providing insights into the most profitable products and fastest-growing categories — helping sellers boost their profits with data-driven decisions. JoomPulse is one of the key businesses of Joom Group, an international tech-centric group of e-commerce companies that was founded in 2016 in Latvia. Joom Group also includes the following businesses: Joom, a global cross-border marketplace; JoomPro, the first and only end-to-end cross-border B2B marketplace; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products. Currently, we are looking for an Senior Product Analyst. The JoomPulse Product Analyst owns the three things that decide whether the product grows: The quality of the data on the platform The product analytics that tell us whether new features and new data actually move conversion and retention The market analysis that turns our marketplace data into insight for large corporate data clients and for the press This person makes sure we can trust our own data, makes sure every significant feature and data release is measured against its real effect on conversion and retention, and packages our marketplace data into external-facing market analysis (category trends, pricing, market dynamics) that lands with corporate clients and journalists. Responsibilities Transform imperfect data into clear, actionable insights that drive decisions Conduct product research (identify growth opportunities, answer high-level questions, and formulate hypotheses for the team) Analyze user behavior patterns and independently uncover insights that are meaningful for the product Influence goal setting and project prioritization within the team based on data Develop self-service capabilities in the domain (structure data to make it easily usable by AI tools, and automate routine analysis so the team can independently answer basic questions) Identifying growth opportunities for the product, analysis and sales forecasting, including identifying seasonality and trends Requirements 5+ years of experience in data analysis Ability to write complex SQL queries (complex joins, window functions, CTEs, query optimization) Product-analytics depth (retention (paid & usage), cohort analysis, funnels, activation, ARPU/LTV, engagement) Knowledge of mathematical statistics and practical experience applying it Hands-on with a cloud warehouse (BigQuery or equivalent) BI and data storytelling (builds and maintains dashboards (Metabase / Looker Studio or equivalent)) Skill in selecting appropriate data evaluation methods: analytics, research, or using external data Ability to tackle complex problems in situations with incomplete data Attention to detail and ability to see tasks through to completion Preferred Built a data-quality or data-observability system from scratch and owned it Owned product analytics on a data / analytics product specifically Python (pandas / numpy) for analysis and automation and PySpark / big-data processing for the more technical work B2B SaaS experience Experience in marketplace analytics and deep understanding of marketplaces base metrics and ranking algorithms We offer Compensation package: base salary and performance-based bonuses Office-first: flexible hours with a possibility to work remotely 52 days per year, and 22 days of paid annual leave Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave AI-first approach: licenses and access to a wide range of AI tools Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English courses Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work B efore applying for the above position please review our Candidate Privacy Notice here . By responding to the vacancy, you acknowledge that you have read our Privacy notice.

Location: Anywhere Our client, Retenta is a full-funnel marketing partner for iGaming brands across Latin America, covering the entire player journey - from turnkey brand launches to long-term retention. Their services span brand sponsorships, media and communication, paid acquisition, SEO, affiliates and influencers, as well as CRM and gamification built to turn first deposits into lifetime value. Perfect for those who aim to: Research, test, and launch campaigns on Google UAC, Apple Search Ads (ASA), Telegram Ads, X (Twitter) Ads, and other paid acquisition channels; Own App Store Optimization (ASO): keyword research, metadata, creative testing (icons, screenshots, preview videos) to improve organic visibility and conversion rate; Continuously identify, evaluate, and pilot new traffic sources and acquisition channels relevant to iGaming; Design and run structured tests (creatives, bidding strategies, targeting signals, product pages) to validate new channels before scaling; Analyze test results, build hypotheses, and document learnings to inform future acquisition strategy; Manage creative asset feeds and audience/conversion signals to optimize automated bidding (UAC, ASA); Collaborate with creative, ASO, and analytics teams to align testing roadmaps and share insights across channels; Monitor competitor ASO strategies, store trends, and algorithm updates (Google Play, App Store) to spot new opportunities; Track and report on channel performance using CPA, ROMI, IPM, conversion rate, and other relevant metrics. Experience you’ll need to bring: Proven experience 2+ years in mobile user acquisition, with hands-on work in Google UAC and/or Apple Search Ads; Practical experience with ASO — keyword optimization, A/B testing store listings, and working with tools like AppTweak, ASOMobile, or Sensor Tower; Experience testing or launching campaigns on Telegram Ads, X Ads, or similar emerging/alternative channels is a strong plus; Solid understanding of mobile marketing metrics (CPA, CPI, ROMI, retention/LTV basics); Experience with MMP/tracking tools (AppsFlyer, Adjust, or similar) and analyzing cohort data; Comfortable working with limited historical data and building test plans from scratch; Experience in iGaming or another regulated/high-competition vertical is a must. It's a perfect match if you have those personal features: Analytical mindset with strong attention to detail; Curiosity and a proactive approach to testing new ideas and channels; Result-oriented with focus on measurable outcomes; Ability to balance creativity with data-driven decision-making; Strong ownership and accountability for campaign performance; Adaptability in a fast-changing environment (platforms, trends, algorithms); Good communication skills and ability to work cross-functionally. Our clients offer competitive benefits to support your professional and personal growth, including: Health & Wellness Focus; Global Medical Coverage; Growth Opportunities; Benefits Programs (compensation for the gym/stomatology/psychological service & etc.); Performance-Driven Rewards; Dynamic Work Environment. Apply, and let your growth journey begin.

Location: Jakarta Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our studio: Tripledot Games About Tripledot Games Tripledot Games is a leading developer and publisher of casual and puzzle games, with a strong presence in London, Warsaw, and Barcelona. The studio is responsible for multiple top 10 titles, including Woodoku, Woodoku Blast, Solitaire, and TripleTile. Our best-in-class data-driven approach spans the entire lifecycle from publishing to machine learning puzzle levels, helping us make fast, smart decisions at every stage of development. We are also one of the largest IAA operators worldwide. Tripledot Games is a diverse and collaborative studio, home to people from over 36 nationalities. We take pride in our craftsmanship, strong focus on outcomes, and continuous improvement, building high-quality, scalable games that players around the world love. Role Overview As a Data Scientist in our Experimentation team, you will help deliver and improve Tripledot’s company-wide experimentation analysis platform. Working closely with Data Engineering, you will define the statistical logic and methodologies behind platform features, build prototypes in Python, and ensure the platform produces accurate, reliable results for product teams across our games portfolio. Your initial focus will include hands-on quality assurance: running independent analyses, comparing results with platform outputs, investigating discrepancies, and validating features and metrics. This offers the opportunity to develop deep expertise in experimentation and A/B testing across a sophisticated internal platform. As the platform evolves, the role will expand into more advanced statistical and machine learning work that delivers value across the business. Key Responsibilities Define statistical logic, calculation methods, and detailed requirements for experimentation platform features. Prototype statistical methodologies and analyses in Python before implementation. Partner closely with Data Engineers as they develop and improve the experimentation platform. Perform thorough data and feature QA by independently calculating results and comparing them with platform outputs. Investigate discrepancies, identify root causes, and help ensure metrics and analyses are accurate and reliable. Explore opportunities to automate QA processes and improve the efficiency and quality of validation. Build a deep understanding of experimentation methodologies, including A/B testing, monitoring, segmentation, and analysis. Collaborate with BI, Machine Learning, product teams, and other stakeholders to understand requests and shape effective solutions. Contribute to future statistical, algorithmic, and machine learning initiatives as the team’s priorities evolve. Skills, Knowledge and Expertise 3-5 years of professional experience as a Data Scientist or in a closely related role Strong Python skills, including the ability to prototype analyses and write clear, reliable scripts. Solid knowledge of statistics and standard statistical methodologies. Practical understanding of experimentation and A/B testing, including how metrics and results should be calculated and validated. Familiarity with machine learning methods and the ability to apply relevant approaches when needed. Excellent attention to detail and a disciplined approach to repetitive or methodical QA work. Strong problem-solving skills, with the initiative to propose creative solutions and process improvements. Clear communication skills and the ability to explain analytical methods, results, and rationale. Experience with experimentation platforms or high-volume digital products, such as gaming, e-commerce, or ride-hailing, would be valuable. Ability to critically evaluate and validate AI-generated code, analyses, or modelling suggestions to ensure correctness and reproducibility. Experience using AI-assisted tools (e.g. code assistants or analytical copilots) to accelerate data exploration, research prototyping, and development workflows while maintaining scientific and statistical rigor. Interest in exploring AI-driven approaches that improve experimentation platforms, developer productivity, or data science research workflows. Working at Tripledot Hybrid Working 20 days of remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year. Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements, and our team spirit. Breakfast & Lunch: Relish daily breakfast and lunch provided in the office to keep you fueled and focused. BPJS HEALTH: Elevate your well-being and peace of mind, ensuring robust health security with seamless enrolment in BPJS Health. BPJS SOCIAL: Secure your employment rights with BPJS Social. Festivity Allowance: Celebrate festive occasions with an additional festive allowance. Private Health Insurance: Stay covered with comprehensive health insurance for you and your loved ones. Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy] English Classes: Enhance your English skills with our provided English classes

Workplace: fully We're looking for a Machine Learning Engineer to help build and improve AI-powered products. You'll work with large datasets, train and evaluate machine learning models, and collaborate with software engineers to bring models into production. This is a great opportunity for someone who enjoys solving practical problems with machine learning and wants to work on real-world AI applications. What you'll do Develop, train, and evaluate machine learning models. Prepare and analyze datasets for model training. Improve model performance through experimentation and testing. Deploy and maintain ML models in production environments. Collaborate with software engineers to integrate ML solutions into products. Monitor model performance and continuously improve accuracy. Stay up to date with new machine learning techniques and technologies. What we're looking for Basic understanding of machine learning concepts and algorithms. Experience with Python. Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn. Comfortable working with data and writing clean, maintainable code. Familiarity with Git. Good problem-solving skills. Strong written and verbal English communication. Nice to have Experience with large language models (LLMs). Experience with cloud platforms such as AWS, GCP, or Azure. Familiarity with SQL. Experience deploying ML models. Personal projects or open-source contributions related to AI or machine learning. Requirements 1+ year of experience in machine learning, software engineering, data science, or a related technical role or strong personal projects demonstrating ML skills. Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus, but not required. Passion for learning and building AI solutions. What we offer Fully remote work. Flexible working environment. Opportunity to work on real AI products. Challenging technical problems with room to grow. Collaborative and fast-moving team. Competitive compensation based on experience.

Location: Athens; Limassol; Nicosia; Thessaloniki Workplace: hybrid The Role:  We are looking for a Senior Data Scientist specializing in Graph AI to join our growing Data Science team. In this role, you will design and deploy production-grade graph machine learning solutions, working with Graph Neural Networks (GNNs), graph databases, and large-scale datasets to solve complex real-world problems.   You will play a key role in shaping the company's Graph AI capabilities, collaborating with cross-functional teams and mentoring other data scientists while delivering innovative, business-impacting solutions. The main responsibilities of the position include: Design, develop, and deploy Graph Neural Networks (GNNs) and graph-based machine learning solutions Transform large, complex datasets into graph representations and extract actionable insights using advanced analytics, graph algorithms, and statistical techniques. Drive the adoption of Graph AI across the organisation by identifying new use cases and contributing to the evolution of the company's data science strategy. Communicate complex technical concepts and model outcomes clearly to both technical and business audiences. Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality . Leverage technologies such as Python, Graph Neural Networks, graph databases, modern ML frameworks, and cloud-based data platforms to build innovative data solutions Ensure adherence to best practices in data quality, model monitoring, version control, and reproducible analytics Lead and supervise a team of data scientists working on graph-related tasks Partner closely with Data Engineers, Software Engineers, Product Managers, and business stakeholders to translate business challenges into scalable Graph AI solutions. Main requirements: University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field At least 6 years of experience in data science, machine learning and AI , including hands-on experience in designing, training and optimising Graph Neural Networks (GNNs) for production applications. Experience working with relational and non-relational databases Solid experience working with graph databases (e.g., Neo4j, Neptune) and proficiency in graph query languages (e.g., Cypher or Gremlin). Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly Strong programming skills in Python and experience with Pandas, NumPy , and similar data analysis libraries Strong analytical thinking, problem-solving ability, and attention to detail . Excellent communication skills and the ability to work collaboratively in a team environment Fluent in English Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Hanoi OR Ho Chi Minh City WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our distributed platform combines high-performance storage, compute, and service layers for processing and serving massive, structured, time-series datasets - built in C++ with a distributed system architecture, real-time streaming, RPC-based data transfer, and columnar on-disk storage that powers data processing and analytics workflows. What You'll Do: Design, develop, and maintain core components across our distributed storage, compute, and service platforms - including storage engines, query and compute execution, RPC/networking layers, and distributed coordination (routing, partitioning, replication). Partner with internal stakeholders across research and engineering teams to translate data-access, compute, and performance requirements into concrete design and implementation work. Investigate and resolve production issues - from correctness bugs to performance regressions. Participate in code review, system design, feature development, and productionization. What You’ll Bring: Degree in Computer Science or a related field. 2+ years of professional software engineering experience. Strong fundamentals in data structures, algorithms, and systems-level thinking (memory management, concurrency, I/O). Proficiency in modern C++ (C++11 or higher); comfort with STL. Solid working knowledge of UNIX/Linux development environments. Experience using AI-assisted coding tools (e.g., Claude Code, OpenCode) to accelerate development. A clear, proactive communicator who works well with a globally distributed team. Nice to have: Python skills. Exposure to distributed systems concepts (replication, sharding, consensus), query/compute engines, or columnar/analytical storage formats. Experience with RPC frameworks What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-VP1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Anywhere Workplace: Remote ABOUT FIRSTPRINCIPLES At FirstPrinciples, we're building Theo, the AI platform for R&D teams. By bringing together an organization's data, the world's research, and their choice of AI models and tools, we're creating a unified platform designed for verifiable scientific work. We're a small, ambitious team at an early stage of growth, tackling complex technical challenges and building something with the potential to meaningfully change how R&D teams work. We're looking for people who thrive in fast-paced environments, take ownership, adapt quickly, and aren't afraid to experiment. You'll have the opportunity to make a meaningful impact, work closely with talented people across disciplines, and help shape both our technology and the company as we grow. THE ROLE: We are seeking a Senior Engineering Manager to lead a team of four to six engineers building core capabilities for Theo and our scientific research platform. You will develop exceptional engineers, set technical direction, and turn ambitious research ideas into reliable systems. You will operate in a matrixed organization, bringing together specialists from engineering, AI research, physics, simulation, infrastructure, and product into multidisciplinary squads. A central part of the role is creating a tight feedback loop between research and engineering. You will help researchers and engineers shape solutions together, evolve promising prototypes collaboratively, and preserve scientific insight as experimental systems become robust, scalable products. This is a hands-on leadership role for someone comfortable moving between people development, architecture, execution, and frontier research. WHAT YOU’LL DO - Manage, coach, and develop a team of four to six engineers. - Form and lead multidisciplinary squads around clear scientific and product outcomes. - Translate open-ended research goals into technical strategies, milestones, and well-designed systems. - Partner closely with researchers and physicists from early exploration through implementation and production. - Create effective paths for researchers to contribute prototypes, algorithms, evaluations, and domain-specific code alongside engineers. - Help experimental systems mature without losing the ideas and assumptions that made them scientifically valuable. - Guide architecture, interfaces, technical standards, and major implementation decisions. - Establish clear ownership and decision-making across teams and reporting lines. - Balance research velocity with reliability, maintainability, reproducibility, security, and cost. - Build strong practices for testing, evaluation, observability, documentation, deployment, and operational ownership. - Stay close enough to the work to review designs, diagnose difficult problems, and contribute directly when it has high leverage. - Influence engineering strategy, hiring, organizational design, and technical culture beyond your immediate team. WHO YOU ARE: - Significant software engineering experience building complex systems. - Experience managing and developing high-performing engineers, with a demonstrated ability to raise the velocity and accountability of engineering teams in a sustainable fashion. - A bias for action and iterative delivery, while maintaining high technical standards. - Strong technical judgement across architecture, implementation, and production operations. - Strong execution judgement of knowing when to explore, when to decide, when to simplify, and when to push a team toward completion. - Experience leading cross-functional or matrixed teams without relying on direct authority. - A record of turning ambiguous ideas or prototypes into dependable capabilities. - The ability to build trust and shared language across engineering and research disciplines. - Scientific curiosity and the technical humility to learn from deep domain experts. - Strong communication, facilitation, and conflict-resolution skills. - A pragmatic, low-ego leadership style grounded in evidence and clear reasoning. - Comfort operating where the problem, solution, and path to delivery may all be uncertain. PARTICULARLY RELEVANT EXPERIENCE - AI, machine learning, agentic systems, simulation, scientific computing, or research infrastructure. - Model engineering, applications, cloud infrastructure, distributed systems, or developer platforms. - Moving research prototypes into scalable, maintainable products. - Designing systems where evaluation, provenance, reproducibility, or scientific validity matter. - Working with physicists, mathematicians, or other research-intensive teams. - Leading remote and globally distributed teams. WHY FIRSTPRINCIPLES You will help define how engineers, AI researchers, and physicists work together to build a new kind of scientific instrument—one capable of contributing to humanity’s understanding of the universe. Please submit a resume and cover letter describing your leadership experience, technical background, and interest in our mission. Include “Senior Engineering Manager” in your cover letter.