Вакансии

Location: Lisbon, Portugal Joom is a global cross-border marketplace where millions can find anything they want at fair prices. Joom helps consumers to make shopping easy and entertaining and provides access to interesting and unique goods from around the world. Joom is one of the key businesses of Joom Group, an international group of tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom Group also includes other businesses: JoomPro, the first and only end-to-end cross-border B2B marketplace; JoomPulse, an AI analytics tool for Mercado Livre sellers; 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. We’re looking for an analyst for Order Experience – the area responsible for the user experience from the moment an order is placed: payment and the user’s journey in the app after purchase. Here, analytics directly affects both the user experience and the business economics: how easy it is to pay for a purchase, how quickly a customer’s issue gets resolved, and how much that resolution costs the company. You’ll work with the Product, Payments, Billing, and Support teams: together with managers, engineers, support specialists, and the finance team, you’ll identify opportunities for improvement, test hypotheses, and see them through to implementation. To do this, we have a mature internal A/B testing platform, a set of MCP tools and AI agents for analytical tasks, high-quality data in BigQuery and Spark, and transparent data preparation processes built on Airflow and dbt. This role is a great fit for someone who enjoys proactively proposing changes, taking part in setting priorities, and seeing the results of their work in the product and in business metrics. Responsibilities Improving checkout and the post-purchase experience. Identifying the reasons that prevent users from completing payment, and testing hypotheses that make this journey simpler Developing AI support. Working with the team to improve AI Chat: finding scenarios for automation, and assessing the quality of user problem resolution and the impact on the business Improving the support contact experience. Researching the user journey from ticket creation to problem resolution, agent performance, and refund decision-making Increasing operational efficiency. Forecasting support workload, improving the automatic refund model, and finding opportunities to reduce costs while maintaining service quality Designing and analyzing A/B tests. Helping teams choose metrics and experiment designs, interpret results, and automate analysis. Developing the metrics system. Making payments, billing, and support metrics clear and useful for decision-making, and investigating changes and anomalies Influencing team priorities. Identifying growth opportunities, estimating the potential impact of initiatives, and helping decide where it’s worth investing time Enabling teams to work with data independently. Preparing data for AI tools and automating repetitive analysis so that colleagues can answer basic questions on their own Requirements Strong SQL and Python skills for data analysis and automation A solid understanding of mathematical statistics and hands-on experience with A/B testing – from forming a hypothesis to drawing conclusions and making recommendations Experience applying AI in analytical work: the ability to integrate it into everyday tasks, verify its outputs, and find new opportunities for automation Independence and an interest in the business: the ability to dig into a problem, propose hypotheses, and connect analysis results to a specific decision The ability to explain complex topics clearly to colleagues with different backgrounds — from engineers to support, finance, and legal specialists The ability to manage work for multiple stakeholders: making priorities transparent, agreeing on scope and timelines, and justifiably deprioritizing less important tasks Preferred Experience in e-commerce, payments, support, or operations automation Building your own AI tools and agents for data analysis We offer Compensation package: base salary and performance-based bonuses Office-first: flexible hours with a possibility to work remotely 52 days per year Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave Relocation Support: full assistance for a smooth relocation for the employees and their family 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 & Portuguese courses Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work Before 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: Melbourne 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. Role Overview Tripledot Studios is growing and looking for a Product Analyst to support some of our most ambitious game initiatives yet. You’ll use real-time data, industry trends, and strong analytical thinking to help drive product decisions. You’ll refine ideas through experimentation and iteration, using data to validate hypotheses and uncover opportunities to improve game performance. We’re open to candidates at different levels, including high-potential recent graduates with strong analytical and technical foundations, a curiosity for problem-solving, and a genuine interest in mobile games. In this role, you’ll dive deep into large-scale player data to understand behavior, identify patterns, and influence product direction. You’ll develop a strong grasp of key product KPIs and player journeys, and use data to drive meaningful impact. Key Responsibilities Identify areas for improvement, form hypotheses, and design A/B tests to improve core business metrics Analyse large and complex datasets to answer strategic and operational questions Deep dive into player behaviour (engagement, monetisation, retention, churn) to uncover insights Conduct pre/post analysis to measure the impact of product changes Work closely with Product Managers and stakeholders to define KPIs and success metrics Build meaningful user segments to drive business value Support LiveOps and economy decisions through data insights Translate data into clear, actionable recommendations that shape product direction What We’re Looking For Strong interest in mobile games and free-to-play products Strong analytical mindset with the ability to break down complex problems Solid foundation in SQL and/or data analysis (academic or professional experience) Experience with data visualisation tools (e.g., Looker, Tableau, Excel, etc.) Ability to interpret data and communicate insights clearly and concisely Curious, resourceful, and comfortable working with ambiguity Strong academic background in a quantitative field (e.g., Mathematics, Engineering, Computer Science, Economics, or similar) and demonstrated hands-on experience with data (projects, internships, etc.) Experience working with product or user data (internships, projects, or previous roles) Familiarity with A/B testing or experimentation Understanding of free-to-play monetisation, LiveOps, or game economy systems

Задачи: — строить продуктовую аналитику — исследовать поведение игроков — выявлять возможности для роста на веб и мобильных продуктах — владеть полным аналитическим процессом: от постановки исследовательских вопросов и подготовки данных до рекомендаций по улучшению продукта и измерения их влияния

Location: Remote - Europe Workplace: Hybrid ABOUT CONSENSYS Consensys Incorporated is an independent blockchain infrastructure company, spun out of Consensys Software Inc. — one of the world's leading blockchain technology companies and the primary development organization behind the Ethereum ecosystem. We build and operate neutral, institutional-grade blockchain infrastructure that connects banks, asset managers, custodians, and financial market infrastructures to digital asset networks, meeting the non-negotiable standards of institutional finance: privacy, scalability, resilience, security, and regulatory readiness. Headquartered in Miami, Florida, and operating across the US, Europe, and Australia, Consensys Incorporated launched as an independent entity in September 2026 and is building the team to match its ambition. WHY THIS ROLE EXISTS Following Consensys's strategic transition into two independent entities (MetaMask for consumer platforms and Consensys focusing on protocols and institutional infrastructure), we are seeking an experienced Security Operations Center (SOC) Analyst to join our security organization. Consensys powers the core infrastructure driving the decentralized web, including Linea mainnet and the open-source Lineth ZK rollup stack recently donated to Linux Foundation Decentralized Trust. The SOC Analyst will be responsible for architecting, building, and operating a comprehensive 24/7 monitoring and alerting ecosystem across our entire digital asset footprint. This role spans enterprise IT SaaS environments, core blockchain infrastructure, and Web3 smart contract security. The SOC Analyst will bridge traditional cybersecurity operations with cutting-edge Web3 threat detection, protecting our corporate IT stack (JumpCloud, AWS, Google Workspace, GitHub, Notion, Zoom), Linea mainnet infrastructure, and ecosystem DeFi protocols against emerging cyber threats and exploits using tools such as Hypernative, Hexagate, and Blockaid. WHAT YOU’LL OWN 1. Enterprise IT Security & SaaS Monitoring - Architect and maintain centralized log collection, SIEM integration, and incident response services across AWS (utilizing Amazon GuardDuty and AWS CloudTrail) and corporate IT services including JumpCloud, Google Workspace, GitHub, Notion, and Zoom. - Develop custom detection rules and alert logic to detect unauthorized access, privilege escalation, credential compromise, and anomalous user activity. - Ensure complete security logging visibility, audit readiness, and access control management across all corporate platforms. 2. Infrastructure & ZK-Rollup Monitoring (Linea & Lineth) - Establish real-time security monitoring for Linea mainnet and the open-source Lineth ZK rollup stack (including Besu execution layer, Maru consensus, coordinator, and provers). - Monitor RPC endpoints, sequencer performance, L1/L2 messaging reliability, state root finalization, and infrastructure telemetry. - Collaborate with the DevOps team and core engineering teams to detect and mitigate infrastructure threats, DDoS attacks, and zero-day vulnerabilities. 3. Web3 & Smart Contract Threat Detection - Implement and tune real-time Web3 threat monitoring platforms including Hypernative, Hexagate, and Blockaid. - Build automated alerts to detect suspicious smart contract interactions, flash loan attacks, reentrancy exploits, liquidity drains, and unauthorized bridge activity on Linea mainnet. - Perform onchain forensics and transaction trace analysis to safeguard ecosystem DeFi protocols and institutional assets. 4. Incident Response & Threat Hunting - Serve as a primary responder for security alerts originating from IT SaaS, cloud infrastructure, and Web3 protocol layers, utilizing Grafana Cloud IRM to manage on-call rotations and incident management. - Lead triage, investigation, containment, and post-mortem root cause analysis for confirmed security incidents. - Proactively conduct threat hunting across system logs, cloud environments, and onchain transaction streams. 5. Security Automation & Detection Engineering - Automate incident response playbooks and triage workflows using SOAR tools and custom scripts (Python, Go, Bash). - Continuously refine detection rules to reduce false positives and improve Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR). - Integrate automated containment mechanisms across access management, cloud IAM, and Web3 security providers. 6. Compliance, Governance, and Reporting - Maintain detailed incident records, forensic evidence, and documentation in alignment with SOC2 and ISO compliance frameworks. - Prepare security operational metrics, alert volume analysis, and threat reports for leadership. - Ensure compliance with corporate security policies and access controls across all environments. 7. Threat Intelligence & Ecosystem Collaboration - Monitor Web3 threat landscapes, tracking emerging smart contract exploit techniques and threat actors targeting L2 ecosystems. - Coordinate with external security researchers, bug bounty programs, and Web3 security alliances to share intelligence. - Participate in incident response drills, security reviews, and audit remediation with external security partners. WHAT WE ARE LOOKING FOR - 3–5+ years of experience in Security Operations, Detection Engineering, or Incident Response within cloud-native or Web3 environments. - Hands-on experience configuring and maintaining monitoring, threat detection, and incident analysis services for AWS (such as Amazon GuardDuty and AWS CloudTrail) and enterprise IT platforms (JumpCloud, Google Workspace, GitHub, Notion, and Zoom). - Direct experience using Web3 security and onchain monitoring tools such as Hypernative, Hexagate, and Blockaid. - Deep technical understanding of Ethereum, L2 scaling architectures, ZK-rollups (Lineth stack, Besu execution, prover systems), and smart contract vulnerabilities. - Proficiency in log management, monitoring platforms (such as Grafana), SIEM/SOAR platforms, and scripting languages (Python, Go, Bash, or SQL). - Familiarity with SOC2, ISO 27001, NIST, or SANS security frameworks. - Strong communication, problem-solving, and analytical skills in a fast-paced, remote-first environment. BENEFITS OF THIS ROLE - The opportunity to safeguard cutting-edge Web3 and ZK-rollup infrastructure at the forefront of blockchain technology. - A dynamic and collaborative work environment with a passionate and talented team. - Competitive compensation package, including salary, benefits, and performance-based incentives. - A platform to influence the future of decentralized technologies and financial systems. REPORTING STRUCTURE - Reports to: Head of Security. - Team: Working closely with our dedicated DevOps team, Head of Security, and Site Reliability Engineer, this role will serve as the founding member of the incident response team. WORKING AT CONSENSYS We are a fully remote, globally distributed company. We hire the best people wherever they are, work asynchronously, and judge each other on impact rather than hours or location. We offer competitive compensation, meaningful equity, and the chance to work on genuinely open source software at the frontier of web3. Consensys is an equal opportunities employer. We celebrate diversity and are committed to building an inclusive environment for all employees.

Location: Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed. About the Role We're looking for a Senior Product Analyst to drive product decisions with data. You'll research how developers and companies discover, adopt and get value from Tavily and find the drivers behind them . You'll work as a thought partner to Product, R&D and leadership and shape what we build next and why. This is a senior, high-ownership role. You take a question from start to finish: you frame the problem, build the data you need, run the analysis or model, and come back with a clear recommendation. You are expected to understand the need and show people results they didn't even knew they wanted or needed and be an integrational part in decision making. You'll work closely with the analysts on the team and with Product, Engineering, Growth and GTM. What You'll Do • Own product analytics end-to-end: define, instrument and measure the product funnel, from first API call through activation, feature adoption, retention and conversion to paid. • Drive product decisions: work with PMs and R&D leads to set success metrics, size opportunities, prioritize the roadmap, and measure the impact of what we ship. • Uncover the drivers behind top-level KPIs: which behaviors, use cases, endpoints and product experiences predict activation, retention and expansion. • Design, run and evaluate experiments (A/B tests, onboarding flows, pricing and packaging changes) and apply advanced statistical models when needed. • Build the data you need: model raw product, usage and billing data into trusted, reusable datasets with SQL, dbt and Python and more. • Apply predictive and statistical modeling (segmentation, propensity, forecasting, classification and clustering) where it sharpens product decisions. • Proactively monitor key product metrics, investigate trends and anomalies, and surface insights stakeholders can act on. • Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams. What We're Looking For • 5+ years of experience as a Product Analyst, Data Analyst or Data Scientist, including at least 2 years in a product-facing role. • 2+ years in a SaaS or tech product company, with deep understanding of funnels, cohorts, engagement, retention and monetization. • A proven record of driving product decisions through data: you've shaped roadmaps, launches or strategy, not just reported on them. • Comfort working with large, messy, event-level datasets. • Strong hands-on experience using Python for data analysis, experimentation and data modeling in a production environment. • Strong statistical foundations. • Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership. • Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation. • Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau). • BSc in Statistics / Math / CS / Industrial Engineering or equivalent. Nice to Have • Experience at an API-first, developer-focused or PLG company. • Hands-on experience building and deploying ML models. • Familiarity with LLMs / AI tooling, and using AI agents to speed up your own analytical work. • Evidence that you build things on your own: a GitHub profile, portfolio, side projects or publications. • MSc in Statistics / Math / CS or equivalent. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St) Workplace: Hybrid The role and its impact When something goes wrong in security at Xero, our Response team are first on the scene. We're looking for a Senior Security Operations Analyst who loves incident response, enjoys building things, and wants a hand in shaping what a SOC looks like when AI agents are part of the team. You'll lead our complex investigations and take command of medium and high impact incidents, keeping people calm, decisions moving and stakeholders in the loop. When things settle down, you'll make sure what we learnt changes something, whether that's a detection, a runbook or the way we train. You'll also help us build. Our Analysts improve the queue as well as working it, so part of your time will go on creating automations and AI-assisted workflows that take repetitive work off the team and leave more room for the investigations that need a person. The team and how they connect Response is a follow-the-sun global team. You'll be in the Southern Hemisphere half, based in New Zealand or Australia, and at the end of your day you'll hand over to colleagues in the UK and North America, who hand back to us the next morning. You'll work business hours in your time zone and take a share of our on-call roster for after-hours incidents. You won't be doing it on your own. You'll join a cohort of Senior Analysts who share the load on complex work and lead our initiatives, with a Lead Analyst alongside for the hardest problems. Our XFLT, a cross-functional leadership team of Security Operations Managers, our Lead Analyst and our Product Manager, sets the direction and clears the way, so there's always someone to think out loud with. The team is currently working on / Initially, you will focus on We're building towards an agentic SOC, where AI agents and automation carry more of the first pass, and analysts direct them and step in where judgement matters. We're working through it carefully: which low-risk work agents can take on, where the guardrails and human approvals belong, and how we'll know it's working. People still make the big calls, because our robots aren't that good yet. You don't need to be an AI expert. We'd love you to be curious, to have tried a few things, and to want to help us get this right. You’ll also: - Lead complex investigations and step up as Incident Commander for medium and high impact incidents - Be a go-to escalation point for our Graduate, Associate and Analyst crew, and coach them through the tricky stuff - Run post incident reviews that lead to real change in detections, runbooks and training - Lead initiatives with our Product Manager and Security Operations Managers, turning goals into work that gets delivered - Build and improve automations and AI-assisted workflows, with guardrails and human sign-off where they matter - Work with our Defence engineers on detection and response logic, and test new capabilities in real incidents - Turn threat intelligence into practical action for Xero - Give customers and internal teams clear, timely answers to their security concerns Where and how you can work We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment. Here are some of the things we're looking for Incident response comes first for us, so we're looking for: - Solid experience in security operations, and a real passion for incident response - A track record of leading complex investigations and incidents through to resolution, including coordinating people and making calls under pressure - Sound technical judgement and good knowledge of attack and defence techniques, particularly in cloud and SaaS environments - Confidence writing queries in a SIEM or log platform - Clear, calm communication and a generous approach to sharing what you know It'd be great if you also have: - Scripting skills (Python or similar) and experience building automations in a SOAR platform. We use Tines, and we're happy to teach it. - Hands-on experience with AI tools in security work, or a clear view of where they help and where they don't - Intermediate or advanced certifications in incident response, threat hunting or cloud security - Experience in a distributed team working across time zones If you're strong on incident response and the builder side is still growing, we'd still love to hear from you. You'll do work that matters to millions of small businesses and their advisors, in a team that shares what it knows and backs each other up, with a real say in how an AI-powered SOC works in practice. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Colombia In Colombia, we’re only starting to develop our product line . This means that by joining us now, you’ll become part of one of the most exciting stages of the company’s growth — and have a direct impact on building our products and operations in Colombia. If you like working in an environment where there’s no established playbook and where your decisions can directly shape the product, this is the right time to join. We are looking for Product Analysts in various teams in Colombia: Acquisition, Operations, Credit Cards Origination, Finance, Mobile Application, etc. Your team will include graduates from top universities (MSU, MIPT, HSE, NES, etc) and winners of math and economics olympiads What makes you a great fit: Care about the company and customers Be smart Understand math Challenges that await you: Take ownership — making mistakes isn’t a problem Use your mind to create top-tier products Find insights in data and turn them into action Design metrics to improve customers' lives How we work: Honest feedback — we value open, transparent communication A high-tech environment full of smart people rebuilding finance from the ground up Fast by default — technology moves fast, and so do we Our benefits: Relocation support to Colombia, Bogotá with full visa & permit support to the employee and family You will be provided with corporate accommodation by the company Flexible work from our office Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation policy: Annual leave and paid sick leave as per applicable policies

We're hiring a Senior Product Analyst at Intch. The role is not about dashboards. The company runs 10+ A/B tests in parallel on weekly sprints, requiring fast decision-making. The Senior Product Analyst will be the first and only product analyst, responsible for challenging decisions with data and bringing insights that nobody has asked for yet.

Задачи: — Проводить полный цикл А/Б-тестов внутри продукта: помогать с дизайном, выбирать метрики, оценивать результаты и формулировать решения по итогам.

Задачи: — Проверка гипотез и поиск новых точек роста продукта (бизнес линии) — Определение ключевых драйверов роста в продукте — Проектирование и разработка дашбордов — Описание структуры разметки событий для новых фичей и обновление разметки при изменении старых — Дизайн и подсчёт А/Б-тестов — Объяснение и презентация результатов продукту Требования: — Опыт в продуктовой аналитике от 2 года, рассматриваются кандидаты с опытом продуктовой или операционной аналитики — Обязательны знания и опыт работы с SQL и Python — Умение дизайнить метрики для экспериментов, рассчитывать несложные А/Б-тесты — Опыт работы в одной из BI систем (Tableau, PowerBI, Redash и тд) — Приносить и внедрять идеи через исследования продукта Условия: — Формат работы: гибрид/удалённо

Компания MEDvidi, работающая в сфере HealthTech и AI, ищет AI Product Analyst для команды AI Receptionist. Вакансия рассчитана на специалистов уровня Middle и Senior. Работа предполагает удалённый формат с возможностью сотрудничества из любой точки мира. Основная задача — анализ и развитие продукта в области искусственного интеллекта, применяемого в медицинских технологиях.

Задачи: — Проводить самостоятельные исследования, искать точки роста и формировать рекомендации для продукта и бизнеса — Анализировать влияние ассортимента на конверсию и выручку — Декомпозировать изменения ключевых метрик и находить причины — Сегментировать клиники, врачей, услуги и тарифы — Развивать систему метрик, отчетность и аналитические инструменты для продукта и коммерции — Много взаимодействовать с продуктом, аккаунтингом, коммерцией и разработкой Требования: — Опыт в продуктовой аналитике от двух лет — Опыт использования Python для исследований — Отличные знания SQL (желательно Greenplum, Clickhouse) — Опыт с отчетностью в Superset, PowerBI или любым другим инструментом — Будет плюсом: продуктивизации и автоматизации своей работы Airflow/DBT — Опыт работы с маркетплейсами/агрегаторами, ассортиментом, коммерческой аналитикой или revenue-задачами

В роли Product Analyst вы будете работать в команде аналитиков, поддерживающих развитие различных этапов процесса покупки. Ваша задача — способствовать созданию удобного и эффективного опыта для пользователей с разным уровнем частоты путешествий, от опытных до тех, кто летает редко.

Location: New York DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Overview We are looking for a Risk Product Analyst to work directly with Portfolio Managers, Traders, and Quantitative Researchers across multiple trading desks and asset classes.  The role sits at the intersection of trading, risk, and technology. You will be responsible for proactively identifying problems affecting our internal risk and valuation systems, diagnosing them by tracing the cause into the back-end services and infrastructure those systems depend on, and resolving them quickly and effectively. This is a fast-paced, highly collaborative role that requires deep knowledge of products and markets, strong technical skills, and sound judgement under pressure. Responsibilities Partner directly with Portfolio Managers, Traders, and Quantitative Researchers across rates, FX, commodities, equities, and crypto asset classes, serving as their primary point of contact for issues affecting risk and valuation. Diagnose and resolve issues affecting our next-generation risk and valuation systems, investigating across the full technology stack: applications, APIs, databases, messaging systems, and the underlying services that they depend on. Monitor system and trading issues and prioritize incidents based on their potential impact to trading, portfolio management, and P&L. When an issue cannot be resolved directly, identify the appropriate engineering, quantitative, or infrastructure team, and escalate with a clear, reproducible diagnosis that accelerates issue resolution. Work closely with Engineering and Product Management teams to identify recurring problems and drive strategic technology solutions. Develop tools and scripts in Python to automate diagnostics, investigate issues, analyze data, and improve workflows. Build a strong understanding of the firm’s trading and risk infrastructure and the dependencies between systems and underlying services. Qualifications Deep knowledge of financial products (cash instruments, futures, swaps, options) and markets, backed by strong technical skills. Previous experience in trade support, trading technology, production support, or a closely related role within a production trading environment – supporting multiple desks and/or asset classes. Ability to write Python and SQL to investigate issues, automate diagnostics, and query and reconcile data across systems. Familiarity with production diagnostic tooling (log aggregation, dashboards, monitoring, alerting). Strong analytical and problem-solving skills; able to methodically narrow down the source of an issue. Ability to communicate effectively with a varied audience, including portfolio managers, traders, quantitative researchers, engineers, and product managers. Who We’re Looking For The ideal candidate combines strong market and product knowledge with technical depth and is commercially aware and comfortable operating at the intersection of trading and technology. You should be able to take an instruction like “ my risk numbers look wrong ” and work through it independently by understanding what the front office is trying to do, investigating the relevant systems and services, determining where the failure is occurring, and either resolving it or routing it to the appropriate team with a clear diagnosis. This is not a role where success is measured by closing support tickets.  We are looking for someone who understands the trading domain, can solve problems, and can build strong relationships with the people running the firm’s trading strategies. The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DW1

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Overview We are looking for a Risk Product Analyst to work directly with Portfolio Managers, Traders, and Quantitative Researchers across multiple trading desks and asset classes.  The role sits at the intersection of trading, risk, and technology. You will be responsible for proactively identifying problems affecting our internal risk and valuation systems, diagnosing them by tracing the cause into the back-end services and infrastructure those systems depend on, and resolving them quickly and effectively. This is a fast-paced, highly collaborative role that requires deep knowledge of products and markets, strong technical skills, and sound judgement under pressure. Responsibilities Partner directly with Portfolio Managers, Traders, and Quantitative Researchers across rates, FX, commodities, equities, and crypto asset classes, serving as their primary point of contact for issues affecting risk and valuation. Diagnose and resolve issues affecting our next-generation risk and valuation systems, investigating across the full technology stack: applications, APIs, databases, messaging systems, and the underlying services that they depend on. Monitor system and trading issues and prioritize incidents based on their potential impact to trading, portfolio management, and P&L. When an issue cannot be resolved directly, identify the appropriate engineering, quantitative, or infrastructure team, and escalate with a clear, reproducible diagnosis that accelerates issue resolution. Work closely with Engineering and Product Management teams to identify recurring problems and drive strategic technology solutions. Develop tools and scripts in Python to automate diagnostics, investigate issues, analyze data, and improve workflows. Build a strong understanding of the firm’s trading and risk infrastructure and the dependencies between systems and underlying services. Qualifications Deep knowledge of financial products (cash instruments, futures, swaps, options) and markets, backed by strong technical skills. Previous experience in trade support, trading technology, production support, or a closely related role within a production trading environment – supporting multiple desks and/or asset classes. Ability to write Python and SQL to investigate issues, automate diagnostics, and query and reconcile data across systems. Familiarity with production diagnostic tooling (log aggregation, dashboards, monitoring, alerting). Strong analytical and problem-solving skills; able to methodically narrow down the source of an issue. Ability to communicate effectively with a varied audience, including portfolio managers, traders, quantitative researchers, engineers, and product managers. Who We’re Looking For The ideal candidate combines strong market and product knowledge with technical depth and is commercially aware and comfortable operating at the intersection of trading and technology. You should be able to take an instruction like “ my risk numbers look wrong ” and work through it independently by understanding what the front office is trying to do, investigating the relevant systems and services, determining where the failure is occurring, and either resolving it or routing it to the appropriate team with a clear diagnosis. This is not a role where success is measured by closing support tickets.  We are looking for someone who understands the trading domain, can solve problems, and can build strong relationships with the people running the firm’s trading strategies. The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DW1

Location: Limassol Cyprus Workplace: OnSite ABOUT US Scorewarrior is a game developer and publisher based in Limassol, Cyprus. We are working on Total Battle — a cross-platform MMO 4X strategy game with a deep social system and extensive player interaction. We have 2 million monthly active players and continue to grow with the goal of becoming the #1 game in the genre. Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games. ABOUT THE POSITION We are looking for a Senior Product Analyst to join our General Analytics team: the analytics lead, an analytics engineer and you. Product teams have their own analysts; we take the research questions they cannot answer on their own, and we own how analytics is done across the company. The core of the role is research: high-uncertainty product questions where the answer is the estimated effect of a specific factor, not a dashboard. Whether to extend the game's lifecycle, how to tell that a new giant feature works, how to run experiments on veteran players spread across hundreds of kingdoms. Alongside it you own the methodology: how experiments and effect estimates are done at Scorewarrior, and whether a number is good enough for a decision and useful to other analysts afterwards. It is a senior individual-contributor role: close work with the analytics lead, short cycles with game designers and product managers. Pilots of the infra components (experimentation platform, visualization system, AI analyst assistant, ELT) are driven by the analytics lead and the infrastructure itself by the data tech lead; you join as the customer, not the builder. Game industry experience is not required. WHAT YOU WILL BE DOING - Take high-uncertainty questions from product teams (Old Players, New Players, Quality of Life, Platform) from a vague question to a decision the team acts on. - Design and analyze experiments in non-standard setups: delayed treatment for veteran players, kingdom-level (cluster) tests, small samples, heavy-tailed revenue. Own variance reduction, outlier handling, permutation tests, MDE and power, reporting rules. - Estimate effects where a classic A/B test is impossible, using causal inference and quasi-experimental designs, and turn one-off solutions into methods other analysts reuse: reference documents, dbt data marts, Tableau dashboards. - Be the last check before the business acts on a number: the assumptions behind a metric, a test read-out or a pilot's output. - Use Python inside research when SQL is not enough: a graph algorithm over clan and kingdom networks, an optimization problem, a simulation. - Specify logging for features shipped by teams without their own analyst, and cover their ad-hoc questions. REQUIRED QUALIFICATIONS - Experience running research with high uncertainty end-to-end, from problem framing to a decision the team acted on. - Hands-on causal inference and quasi-experimental methods (difference-in-differences, synthetic control, matching or similar) on product questions: you can say what breaks an estimate and how you checked it. - Hands-on A/B test design and analysis, and the applied statistics behind it: distributions, power and MDE, variance reduction, heavy tails and outliers. - Strong SQL on an analytical data warehouse; ClickHouse is a plus. - Working Python for research: you can implement an algorithm or a statistical procedure that has no ready-made library call, and you understand what your code, or your AI assistant's code, does and whether it can work. No production services expected. - Clear, concise communication in writing and in person: you fix agreements, and you say so when a result cannot be trusted, including to the people who asked for it. - English at B1 or above. PREFERRED QUALIFICATIONS - Data science background alongside analytics: modeling, segmentation, validating assumptions with statistical tests. - Experience building or improving an experimentation platform, or setting methodology that other analysts followed. - Hands-on experience with dbt and Tableau. - Understanding of F2P economics, network effects, social or competitive systems; you play games and are ready to play Total Battle. WHAT WE OFFER - A team of professionals with a passion for gamedev and a drive to make Total Battle the #1 MMO 4X strategy game. - An excellent remuneration package, including a 13th salary. - Full relocation coverage for you and your family to Cyprus (Limassol). - A modern, sunny office close to the sea. - Private health insurance for you and your family members. - A monthly pre-school, school, and university allowance for employees' children. - Lunch compensation. - A sports and fitness allowance. - Company-funded personal development opportunities (professional and language courses, books, etc.). - Bonuses for outstanding results, years of service, marriage, and childbirth. - Friendly monthly office parties and epic annual offsite company birthday and Christmas celebrations.

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Overview We are looking for a Risk Product Analyst to work directly with Portfolio Managers, Traders, and Quantitative Researchers across multiple trading desks and asset classes.  The role sits at the intersection of trading, risk, and technology. You will be responsible for proactively identifying problems affecting our internal risk and valuation systems, diagnosing them by tracing the cause into the back-end services and infrastructure those systems depend on, and resolving them quickly and effectively. This is a fast-paced, highly collaborative role that requires deep knowledge of products and markets, strong technical skills, and sound judgement under pressure. Responsibilities Partner directly with Portfolio Managers, Traders, and Quantitative Researchers across rates, FX, commodities, equities, and crypto asset classes, serving as their primary point of contact for issues affecting risk and valuation. Diagnose and resolve issues affecting our next-generation risk and valuation systems, investigating across the full technology stack: applications, APIs, databases, messaging systems, and the underlying services that they depend on. Monitor system and trading issues and prioritize incidents based on their potential impact to trading, portfolio management, and P&L. When an issue cannot be resolved directly, identify the appropriate engineering, quantitative, or infrastructure team, and escalate with a clear, reproducible diagnosis that accelerates issue resolution. Work closely with Engineering and Product Management teams to identify recurring problems and drive strategic technology solutions. Develop tools and scripts in Python to automate diagnostics, investigate issues, analyze data, and improve workflows. Build a strong understanding of the firm’s trading and risk infrastructure and the dependencies between systems and underlying services. Qualifications Deep knowledge of financial products (cash instruments, futures, swaps, options) and markets, backed by strong technical skills. Previous experience in trade support, trading technology, production support, or a closely related role within a production trading environment – supporting multiple desks and/or asset classes. Ability to write Python and SQL to investigate issues, automate diagnostics, and query and reconcile data across systems. Familiarity with production diagnostic tooling (log aggregation, dashboards, monitoring, alerting). Strong analytical and problem-solving skills; able to methodically narrow down the source of an issue. Ability to communicate effectively with a varied audience, including portfolio managers, traders, quantitative researchers, engineers, and product managers. Who We’re Looking For The ideal candidate combines strong market and product knowledge with technical depth and is commercially aware and comfortable operating at the intersection of trading and technology. You should be able to take an instruction like “ my risk numbers look wrong ” and work through it independently by understanding what the front office is trying to do, investigating the relevant systems and services, determining where the failure is occurring, and either resolving it or routing it to the appropriate team with a clear diagnosis. This is not a role where success is measured by closing support tickets.  We are looking for someone who understands the trading domain, can solve problems, and can build strong relationships with the people running the firm’s trading strategies. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DW1

Location: North America - Remote Workplace: Remote Douro Labs is the core development team behind the Pyth Network. We're looking for a Market Analyst to track the crypto markets, specifically prediction markets and perpetual futures, and turn that understanding into business opportunities for Pyth. This role is for an analyst who can read the market and explain why it matters to us: someone who can pull on-chain and venue data to quantify a new trend one hour and write the report that convinces the team to act on it the next. You will serve as our eyes on two of the fastest-moving areas in crypto, covering the market side (monitoring events, trader conversations, volumes, and new venues across prediction markets and perps) and the product side (translating that research into a clear picture of our users and concrete opportunities for Pyth). - Location: Remote (US or Europe) - Type: Full-time - Reports to: Head of Technical Operations About Our Team and Your Role We are a well-rounded team: half of us are tech whizzes, while the other half excel in building partnerships with institutional clients, prime brokers, and the global financial infrastructure community. Curiosity and rigor are key to how we operate. Remote Work: Our team is spread across the globe, from the US and South America to Europe and Asia. We are a digital-first organization where remote work is the norm. Startup-level Speed: We thrive in the dynamic DeFi space and need an analyst who can go from question to answer quickly, without waiting for direction. The Mission: You will be shaping how Pyth grows in prediction markets and perpetual futures. As these markets expand and new venues launch, your research will inform where we build next and how we serve the teams building on our data. About the Role This is a hybrid research/strategy role. At the outset, you'll monitor prediction markets and perps day to day and connect what's happening to our business. Over time, your research is expected to directly shape product decisions and new opportunities across Pyth. We want research that leads to action: every piece of work should end with a clear view on what it means for Pyth and what we should do about it. Responsibilities Market Monitoring - Track news, launches, and structural shifts across prediction markets and perpetual futures - Monitor the conversations where traders are active, including X, Discord servers, Telegram groups, and other trader communities, to spot sentiment shifts and emerging trends early - Follow volumes, open interest, funding rates, and market share across major venues - Connect recent events to their impact on Pyth and share timely takeaways with the team - Maintain a current view of the competitive landscape, including oracles and data providers serving these markets User Research - Research prediction market and perps protocols to understand how they use price data - Map who our users are, what they need, and where current solutions fall short - Build dashboards and datasets the team can use to follow these markets Product Opportunities - Turn research findings into concrete product ideas for Pyth - Size opportunities using market and on-chain data - Work with product, engineering, and BD to prioritize and pressure-test ideas - Track how launched initiatives perform against the original thesis Research and Reporting - Write clear, convincing research reports for internal and external audiences - Present findings and recommendations to leadership - Build a repeatable research process the team can rely on About You - Background as an analyst at a crypto research firm or in a research/data role at a perps exchange or prediction market - Deep understanding of prediction market and perpetual futures market structure - Active in trader communities and comfortable picking up signal from X, Discord, and Telegram - Proficient with data analysis tools (SQL, Python, Dune or similar) - Strong writer with a track record of research that drives decisions - Analytical and a self-starter, comfortable owning a research agenda independently - Comfortable with startup pace and evolving scope Think you've got what it takes to build the most talented team in the world? We'd love to meet you.