Вакансии

Location: Sydney, Australia; Melbourne, Australia Workplace: hybrid Role Overview We are looking for a detail-oriented Compliance Analyst to help protect Sokin from financial crime risks. In this role, you will monitor customer transactions, investigate suspicious activity, and identify potential money laundering, terrorist financing, sanctions, and fraud risks. You will provide timely, evidence-based assessments that ensure compliance with regulatory obligations and internal policies while maintaining a seamless customer experience. About Us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business - so businesses thrive wherever they choose to grow. We deliver services across: • Global payments and receivables • Foreign Exchange (FX) • Treasury management • Finance reconciliations We are rapidly expanding, with established presence in EMEA, APAC, and North America. Backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments. Key Responsibilities Review and investigate transaction monitoring alerts across relevant products and payment channels, including fiat payments and virtual currency transactions where applicable. Assess customer activity against the customer’s business profile, expected transaction volumes, source of funds and stated purpose of transactions. Identify unusual patterns, inconsistencies and financial crime indicators, including structuring, rapid movement of funds and unexplained third-party payments. Review sanctions and Politically Exposed Person (PEP) screening alerts, documenting findings and escalating potential matches appropriately. Conduct virtual currency wallet address and transaction screening using third-party blockchain analytics tools, and review relevant Travel Rule information where applicable. Prepare clear, concise requests for information and supporting documents, specifying response deadlines and tracking outstanding requests. Document investigations, supporting evidence, risk assessments and recommendations in the relevant case management systems. Escalate suspicious activity, material risks and unresolved concerns to the Transaction Monitoring Manager or MLRO in accordance with internal procedures. Support the preparation of Suspicious Activity Reports (SARs) and Suspicious Transaction Reports (STRs), subject to review and approval. Recommend appropriate action, including enhanced monitoring, further due diligence or transaction restrictions, within the role’s authority. Work collaboratively with Compliance, KYC, Operations and Customer Support to resolve cases and communicate information requests appropriately. Maintain accurate records and trackers, meet investigation deadlines, and apply feedback from quality assurance reviews. Identify recurring issues and contribute to improvements in monitoring rules, procedures and reporting. Desirable Experience Experience supporting compliance obligations across multiple jurisdictions. Familiarity with AUSTRAC reporting requirements, virtual currency risk indicators, blockchain analytics and the Travel Rule. Please note, candidates will need to have the right to work in the jurisdiction that they are looking to work in. Sokin is an equal opportunities employer and committed to maintaining an inclusive work environment. As a growing global startup with bases across multiple countries, we were established on and continue to promote an agile, flexible working culture. Please reach out to discuss any accommodations you may require during the recruitment process.

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process. Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.   THE OPPORTUNITY - You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption. - Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions. - Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling. - Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions. - Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress. - Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems. - Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks. - Improve data timeliness, enabling near-real-time insights where they add business value. - Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.   WHAT YOU BRING - 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams. - Strong SQL and Python skills, including writing, debugging and maintaining production code. - Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation. - Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools. - Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders. - A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve. - Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes. - Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation. - Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.   NICE TO HAVES - Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations. - Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Brazil; Peru; Colombia; Argentina; Canada; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process. Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.   THE OPPORTUNITY - You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption. - Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions. - Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling. - Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions. - Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress. - Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems. - Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks. - Improve data timeliness, enabling near-real-time insights where they add business value. - Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.   WHAT YOU BRING - 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams. - Strong SQL and Python skills, including writing, debugging and maintaining production code. - Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation. - Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools. - Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders. - A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve. - Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes. - Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation. - Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.   NICE TO HAVES - Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations. - Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark.       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Москва В подразделении риск-квантов (risk-quants) Сбера открыты вакансии для стажеров и специалистов с опытом работы, занимающихся моделированием финансовых рынков и машинным обучением (ML). Обязанности * заниматься разработкой моделей ценообразования и расчета риск-метрик для финансовых инструментов, а также подходов к управлению рыночными рисками * развивать передовые методы ИИ для финансов: генеративное моделирование мультимодальных данных (диффузия, VAE, LLM и др.), обучение с подкреплением * сочетать фундаментальные исследования с прикладными задачами Сбера. Требования * образование с математическим уклоном: предпочтительно (но не ограничиваясь) МКН СПбГУ, матфак ВШЭ, мех-мат МГУ, РЭШ, МФТИ, ИТМО и др. * понимание финансовой математики: знания в области теории вероятностей и случайных процессов, математической статистики и эконометрики * программирование: свободное владение Python (NumPy, Pandas, PyTorch) * базовые знание ML/DL * классические методы ML, Deep Learning * современные генеративные модели / RL-алгоритмы * архитектуры и принципы LLM. Будет плюсом: * наличие профильных сертификатов – CFA, FRM, CQF и т.д. * окончание курсов ШАД, Vega или аналогов * опыт работы над проектами в области GenAI, анализа временных рядов (Time Series, TS), обучения с подкреплением (RL). Условия * комфортный современный офис рядом с м. Кутузовская * формат работы: гибрид * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

• Configure and troubleshoot GTM, GA4, and Consent Mode v2. • Implement dataLayer schemas and prepare technical specs for developers.

Location: Netherlands At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car , a Woolly Mammoth’s Skeleton , Lady Gaga's Jumpsuit or Usain Bolt’s running shoe , we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. At Catawiki, tax is more than compliance. As we continue to grow internationally, tax plays an increasingly important role in improving our buyer and seller experience, enabling business decisions, managing risk and supporting sustainable growth. We're looking for a Tax Analyst who combines strong technical tax expertise with a pragmatic business mindset. This role is ideal for someone who enjoys both hands-on tax work and strategic involvement. You'll work closely with Finance, Legal, Product and Commercial teams to embed tax into business decision-making, while supporting robust compliance, effective risk management and the continued development of a scalable, technology-enabled tax function. You won't just manage tax obligations—you'll help embed tax into business decision-making and shape how the function supports Catawiki's continued growth. Whether you're looking to broaden your experience beyond a specialist advisory role or deepen your expertise within an international business environment, this role offers exposure across all major tax disciplines while working closely with business stakeholders. About the role You will support and further develop Catawiki's tax function across three key areas: Tax Compliance & Reporting Manage direct and indirect tax compliance processes; Coordinate with external advisors and tax authorities; Prepare and review tax provisions and tax reporting under IFRS; Support tax audits, inquiries and controversy processes; Monitor tax law developments and assess their business impact. Tax Risk Management & Business Partnering Identify, assess and manage tax risks and opportunities across the organisation; Design and maintain a robust tax control framework; Partner with Finance, Legal, Product and Commercial teams on business initiatives; Support international expansion projects and new business models; Contribute to the development and execution of Catawiki's tax strategy. Tax Technology & Process Improvement Drive automation and digitisation of tax processes; Support implementation and optimisation of tax technology solutions; Improve data quality, controls and reporting capabilities; Leverage analytics and AI tools to enhance tax insights and efficiency; Design standardised and scalable tax processes that support growth. What you’ll do (Your Core Tax Responsibilities) Managing direct tax, indirect tax and transfer pricing obligations across multiple jurisdictions; Supporting monthly, quarterly and annual tax reporting cycles; Maintaining tax documentation, controls and governance frameworks; Supporting tax audits, inquiries and regulatory reviews; Advising stakeholders on tax implications of business decisions and strategic initiatives; Supporting international expansion projects and new business models; Driving improvements in tax processes, systems and reporting capabilities; Contributing to tax technology, automation and data initiatives. You will gain broad exposure across all major tax disciplines and play an important role in ensuring tax supports Catawiki's continued growth. What makes this role exciting? Broad exposure: Work across corporate income tax, VAT, transfer pricing, tax accounting and tax technology. Strategic impact: Influence business decisions, international growth initiatives and the development of Catawiki's tax strategy. Business partnering: Work closely with Finance, Legal, Product and Commercial teams and see the direct impact of your advice on business decisions. Ownership & growth: Take responsibility for key tax processes and projects while helping further develop a scalable and future-ready tax function. Innovation: Drive automation, analytics and AI adoption within tax and help shape how technology supports the function. Because we are growing fast, your scope will continue to evolve and we are looking for someone who's excited to grow with it. What you’ll bring Experience & Background Bachelor's or Master's degree in Tax Law, Economics, Accounting or a related field; Professional qualification (CTA, CPA, RA or equivalent) preferred or in progress; 3+ years of relevant tax experience gained in a Big 4, law firm, multinational or fast-growing international business; Experience across one or more of: Corporate income tax; Indirect tax (VAT/GST); Transfer pricing; Tax accounting and reporting; Strong knowledge of Dutch and European tax frameworks; Exposure to international business operations and cross-border transactions; Experience within technology, e-commerce, marketplace or platform businesses is a plus; Fluent in English (written and spoken); Dutch is a plus. Skills & Mindset Strong analytical and problem-solving skills, with the ability to translate complex tax matters into practical business recommendations. A pragmatic, commercially minded approach, with the ability to balance risk management and business objectives while maintaining attention to detail. Excellent communication and stakeholder management skills, with the ability to build effective working relationships across different functions. A proactive, curious mindset, with a strong sense of ownership and the ability to thrive in a fast-paced, evolving environment. A continuous improvement mindset, with an interest in leveraging tax technology, automation, data analytics and AI to develop scalable solutions. Where You'll Work You'll join the Finance team based in the Netherlands. We work in a hybrid model with fixed office days in Amsterdam. It is important that you are based in the Netherlands and are able to attend these office days consistently. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us . We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion ” . We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles. We may use artificial intelligence (AI) tools to support the review of your application. AI may help us assess how your experience matches the requirements of the role, but hiring decisions are always made by our recruitment team

Компания Adyen ищет опытного Senior CDD Risk Analyst для работы в гибридном формате в Сингапуре. В обязанности входит руководство процессом сложного онбординга торговцев и усиление контроля качества в области комплаенса. Кандидат должен обладать навыками оптимизации рабочих процессов, управления рисками, обеспечения качества и проведения комплексной проверки клиентов (CDD, EDD, KYC). Важным аспектом работы является соблюдение требований по борьбе с финансированием терроризма (CFT), санкционным ограничениям и антимонопольному контролю (AML). Также требуется опыт работы с негативной информацией о клиентах (adverse media) и автоматизацией процессов due diligence. Роль предполагает активное участие в обеспечении соответствия нормативным требованиям и поддержании высокого уровня комплаенса при онбординге новых торговцев.

Location: IND - Mumbai About Monster Energy: Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the gamechangers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become on along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A Day in the Life: As a Service Desk Analyst , you'll power the business by delivering fast, reliable IT support through phone, Microsoft Teams, email, and ServiceNow. You'll take ownership of troubleshooting and resolving hardware, software, account access, and mobile device issues, partnering with Desktop Support, global IT teams, and external vendors to drive solutions when escalation is needed. You'll support users primarily in English while assisting a diverse global workforce, maintain accurate ticket documentation, contribute to our knowledge base, and ensure issues are resolved within SLA commitments. Success in this role means combining technical expertise, a customer-first mindset, and a relentless focus on keeping our teams connected and productive. The Impact You'll Make: Serve as the first point of contact for Monster Energy employees across APAC, handling technical support requests by phone, Microsoft Teams, email and the ServiceNow self-service portal. Log, categorize, prioritize and track all incidents and service requests in ServiceNow, and monitor the queue so tickets are resolved and closed within SLA with clear troubleshooting and resolution notes. Diagnose and resolve hardware, software and connectivity issues remotely using remote support tools, and provide walk-up support at the India office in partnership with local Desktop Support. Support Microsoft 365 applications, including Outlook, Teams, OneDrive, SharePoint and the Office apps. Manage user accounts, group memberships and password resets in Active Directory and Microsoft Entra ID, including Multi-Factor Authentication (MFA) and self-service password reset support. Enroll, configure and troubleshoot Windows, macOS and iOS devices in Microsoft Intune, including app deployment, compliance policies and remote lock, wipe. Support remote onboarding and offboarding, including account provisioning, access requests, and coordinating equipment logistics with local offices and vendors, and keep asset and software license records in ServiceNow accurate. Identify and escalate major incidents under incident management procedures, route issues with complete information to the right resolver groups (Desktop Support, Infrastructure, Applications, Security), and work with APAC vendors such as wireless carriers and hardware providers to resolve issues. Create and maintain ServiceNow knowledge base articles in English and, where appropriate, Hindi; guide users to self-service solutions; provide basic end-user training; and tell APAC users about relevant system changes. Provide follow-the-sun coverage by giving clear shift handoffs to the Americas and EMEA Service Desk teams, work flexible schedules that include occasional after-hours or weekend support for critical issues, and follow IT, security and local data privacy policies. Who You Are: Prefer a Bachelor's Degree in the field of -- Information Systems, Computer Science, or a related field Flexible to work 6:30 AM to 3:30 PM IST, Monday through Friday, ensuring seamless support coverage across multiple time zones and maintaining service availability during designated support hours. Additional Experience Desired: Minimum 1 year of experience in an IT help desk role using a ticketing system Additional Experience Desired: Between 1-3 years of experience in supporting users in multiple countries Computer Skills Desired: Windows and Microsoft 365 in an enterprise environment. Active Directory and ITIL-based processes (incident, request, and problem management), ServiceNow ITSM Preferred Certifications: CompTIA A+, ITIL 4 Foundation, and/or Microsoft certifications (e.g., Microsoft 365 Certified: Endpoint Administrator Associate) preferred Additional Knowledge or Skills to be Successful in this role: Fluent in English and Hindi, both written and spoken Read our privacy policy here: Privacy Policy

We are looking for a Middle Project Manager / Business Analyst to improve and support knowledge management, onboarding, learning, and operational processes within our Creative Team. This role goes beyond collecting requirements or maintaining documentation. We are looking for someone who can understand how processes work end to end, identify opportunities for improvement, take ownership of projects, and help the team scale efficiently. The Project Manager will be one of the key participants in our changes — helping design new workflows, define requirements, support implementation, and ensure that new solutions are successfully adopted by the team. What You Will Do Process Analysis & Improvement Understand existing workflows, identify bottlenecks and inefficiencies, and proactively propose improvements that make processes more scalable and effective. Requirements & Solution Design Gather and structure stakeholder needs, translate them into clear requirements, and participate in designing new processes, tools, and automation solutions. Project Ownership Take ownership of operational and improvement initiatives from idea to implementation: define scope, coordinate stakeholders, track progress, manage risks, and drive projects to completion. Documentation & Knowledge Management Maintain and improve the Creative Team’s documentation in Confluence, ensuring it is consistent, up to date, well structured, and aligned with current processes. Onboarding & Access Coordination Coordinate onboarding for new team members, including access to Confluence, Asana, internal knowledge resources, and other relevant tools. Maintain onboarding checklists and supporting materials. Learning & Development Coordinate internal training through the company’s LMS and support external educational projects, courses, and workshops. Database Management Support the development and maintenance of a structured marketing database, ensuring that information remains relevant, organized, and regularly updated. What We Are Looking For: Experience as a Technical PM / Business Analyst / Production Manager: You know how to approach a business stakeholder, break a chaotic process down into "LEGO blocks," draft clear functional specs, and oversee the solution's delivery. Background in Evolving Internal Products: Ideally, you have prior experience automating back-office or production workflows within product-led tech companies or large advertising agencies. High Level of Ownership & Proactivity: We need someone who doesn’t wait for top-down, step-by-step instructions. You analyze the system independently, spot areas for growth, propose solutions, and drive them to completion. Structured & Systemic Approach: The ability to operate effectively in a fast-paced environment with high uncertainty, turning operational chaos into clear, structured algorithms. Understanding of Technical Logic: You don't need to write code or know SQL, but it is essential that you understand the underlying logic of software systems, databases, and integrations. Nice-to-Have: A genuine interest in Generative AI tools and experience integrating them into workflows. Personal pet projects related to automation (e.g., if you’ve built a no-code/low-code workflow just to automate something for yourself). Prior experience in creative production, marketing, or ad agencies (understanding the exact dynamics between creative producers and designers). Why You'll Love Working With Us: Real impact: The results of your work will directly drive the company's key scaling metrics. You will see firsthand how workflows accelerate by multiples thanks to your efforts. Flexibility: 100% remote work. Our team is globally distributed across Europe and beyond. Health: company-provided medical expense compensation. AI solutions: АІ subscription and other tools. Balance: Flexible paid time off, you get 21 days of annual leave + 10 bank holidays. Collaborative Culture: Work alongside passionate professionals who are as driven as you are.

Вести аналитическое направление как единую продуктовую линейку: ИИ-аналитика по бюджетным данным, перенос отчётности на портал, новые разделы Цифрового паспорта, сводная аналитика для государственных заказчиков. Держать границу продукта: что входит в платформу, а что продаётся отдельно — ваше предложение и ваша аргументация перед руководством.

Задачи: — Сбор данных из внутренних сервисов, LLM Gateway, GitLab, Jira, логов AI-агентов и других источников. — Проектирование и наполнение баз данных и аналитических витрин для оценки использования CodeGen-платформы. — Анализ активности пользователей, сценариев и профилей использования AI-инструментов. — Исследование утилизации ресурсов, качества, производительности и эффективности сервисов. — Формулирование и проверка гипотез о влиянии LLM на процессы разработки, тестирования, аналитики и DevOps. — Обработка структурированных и неструктурированных данных: логов, программного кода, merge request’ов, текстов и результатов работы LLM. — Разработка ETL/ELT-пайплайнов для загрузки, обработки и регулярного обновления данных. — Работа с S3, PostgreSQL, Greenplum, Oracle и другими источниками и хранилищами данных. — Участие в создании RAG-решений: подготовка и индексация данных, наполнение векторных баз, разработка пайплайнов обновления индексов. — Создание инструментов поиска и получения данных для AI-агентов. — Подготовка продуктовых и технических метрик, дашбордов и визуализаций с использованием Superset, Streamlit и Python. Требования: — Отличное владение Python. — Уверенная работа с pandas, Polars или аналогичными инструментами обработки данных. — Уверенное знание SQL. — Опыт работы с реляционными СУБД и хранилищами данных. — Практический опыт разработки ETL/ELT-пайплайнов. — Опыт работы хотя бы с одним инструментом оркестрации процессов обработки данных. — Уверенное владение AI-инструментами для разработки: Claude Code, Codex или аналогами. — Регулярное использование AI-инструментов в разработке и аналитике. — Умение самостоятельно исследовать данные, формулировать гипотезы и находить способы их проверки. — Опыт работы со структурированными и неструктурированными данными. Будет плюсом: — Опыт работы с Apache Airflow. — Опыт разработки решений на базе LLM, GenAI, RAG или AI-агентов. — Опыт работы с векторными базами данных и поисковыми системами. — Понимание Git, GitLab и современных процессов разработки ПО. — Базовые знания Data Science и методов статистического анализа. Условия: — Полный рабочий день. — Можно удалённо. — Оформление только как ИП.

Location: Vancouver, BC Senior Analytics Engineer The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call . As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements . What you’ll achieve Own the Gold layer for a given business domain (e.g., PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means, who owns it, and where to find it. Partner with peers across DS&A to keep KPI definitions consistent where domains overlap. Author data contracts and SLAs at the Silver→Gold boundary, partnering with Horizontal Data Engineering on the inputs you depend on, and owning data quality, freshness, and oncall for Gold/metric-mart failures in your domain. Build and maintain certified, board-ready dashboards on governed Gold data, partnering with Data Science to translate insight requirements into trusted, reusable products rather than one-off builds. Partner directly with Product & Business, Data Science, and Engineering to turn ambiguous, underspecified questions into scalable datasets — anticipating downstream reporting impacts before they become incidents, and raising the data-model quality bar across the domains you touch. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . 4+ years in analytics engineering, data engineering, or a closely related analytics role, with a track record of independently owning the data models a team relies on for decisions . Advanced SQL and strong data modeling fundamentals: dimensional modeling, star/snowflake schemas, slowly changing dimensions, and semantic layer design. Hands-on experience with a transformation framework (dbt or equivalent), orchestration tooling (e.g. Airflow), version control (Git), and modern warehouse/lakehouse platforms (Databricks experience preferred). Practical experience with data quality testing and observability, schema management and data contracts, and query/model performance and cost tuning. Demonstrated domain fluency in at least one business area (e.g. PLG funnels, SLG pipeline, marketing attribution, Product telemetry, revenue/ARR) and the judgment to translate "I don't trust this number" into a specific, durable model fix. Strong cross-functional partnership skills: requirement gathering, prioritization, documentation and enablement, driving alignment on metric definitions, and explaining technical tradeoffs to non-technical partners . Curiosity about AI-native a nalytics — NL2SQL, metadata/semantic layers for self-serve, and using tools like Claude and Genie to multiply your reach rather than replace rigor. Exposure to Unity Catalog, Looker/LookML, or reverse-ETL/activation (Salesforce, Marketo, Gainsight) is a plus At A sana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission . If you're interested in this role and don't meet every listed requirement, we still encourage you to apply . What we’ll offer Generous, transparent and fair compensation system (base salary and RSUs) Health insurance with dental Breakfast and lunch catering on the da ys that you work from the office Home office setup budget Gym/Fitness card Fertility healthcare and family-forming support with Carrot Mental Health Support in Modern Health Group life insurance MacBo oks with all necessary accessories For this role, the estimated base salary range is between $106,000 - $120,000 CAD annually . The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may include additional components such as equity and sales incentive pay (for most sales roles), and benefits . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Shanghai Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. The Merchant Care Analyst will be responsible for providing exceptional service to merchants by addressing inquiries, resolving issues, and ensuring a smooth experience with our products and services. The role requires excellent communication skills, a strong understanding of payments, and the ability to solve problems efficiently. The Merchant Care Analyst will use various tools and resources to troubleshoot issues, guide merchants through solutions, and escalate cases when necessary, all while maintaining a high level of customer satisfaction. What you will be doing: - Provide exceptional customer experience by handling inquiries and issues from merchants via various channels (email, phone, chat) - Troubleshoot and resolve merchant payment issues, technical challenges, and account-related concerns with a focus on timely and accurate resolutions. - Collaborate with internal teams, including operations, product, and engineering, to address merchant concerns and drive issues to resolution. - Educate merchants on platform features, payment processes, and best practices to optimise their experience. - Assist in maintaining and improving merchant care support, contributing to the continuous enhancement of service delivery. - The role requires working hours from 11:00 AM to 8:00 PM, including Public Holidays, and involves providing Instant Messaging (for e.g. WeChat) support as needed. Qualifications - Fluent in Mandarin and English - 2+ years of experience in support or operations roles, preferably within a payments environment. - Strong problem-solving skills with the ability to diagnose technical issues and provide effective solutions. - Excellent communication and interpersonal skills, with a customer-first mindset. - Ability to handle multiple priorities in a fast-paced environment while maintaining high service standards. - Familiarity with payment processing systems, fintech platforms, or related technologies (preferred but not essential). - Proficiency in using customer service software (e.g., Zendesk, Salesforce) and CRM tools. - Proven ability to work independently as well as collaborate effectively across teams. If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Москва Мы — технологическая команда, создающая инновационные решения для спорта. Наш продукт направлен на трансформацию и объективизацию судейства. Мы ищем опытного специалиста в области MLE для участия в разработке и развитии наших решений. **Предстоит** работать с ключевым функциональным и архитектурным ядром нашей системы видеоаналитики, а именно: Обязанности * работать со скелетом как с многомерным временным рядом: сегментация выступления на элементы и фазы, детекция границ (отрыв, приземление, точки экстремума), выделение повторяющихся циклов, temporal action detection на видеопотоке, сглаживание и агрегация предсказаний по времени * участвовать в проектировании API, внутренних контрактов и структуры данных * оптимизировать модели для достижения целевых показателей задержки * развивать высокопроизводительный Python-фреймворк для CV/ML-пайплайна на более чем 15 моделей, работающих единовременно * реализовывать механизмы обработки с multiprocessing и multithreading. Обеспечивать эффективную оркестрацию между CPU и GPU-ресурсами * минимизировать накладные расходы на межпроцессное взаимодействие, копирование данных и работу с памятью. Проводить профилирование и устранять узкие места в video I/O, decode, inference и postprocessing * проводить профилирование и устранять узкие места на всех этапах: Video I/O, декодирование, препроцессинг, инференс, постобработка. Требования * опыт работы ML Engineer / CV Engineer от 3 лет * высокое качество кода на Python (OOP, Pydantic, SQLAlchemy, для DS - NumPy, OpenCV, PyTorch) * опыт реализации сложной вычислительной или бизнес-логики * практический опыт разработки production-ready ML/CV pipeline * опыт работы с видеоаналитикой, обработкой видео или потоковых данных * понимание особенностей Python runtime для высокопроизводительных пайплайнов: GIL, IPC, serialization, shared memory * опыт использования инструментов ускорения инференса: ONNX, TensorRT, TorchScript или аналогов * опыт работы с Linux, Docker, работы в команде в Git, CI/CD Будет плюсом: * опыт разработки расчетных систем * PostgreSQL, ClickHouse, SQLAlchemy * владение компилируемыми языками, такими как Go или C++, для реализации или оптимизации критичных по производительности частей системы * опыт работы со спортивной аналитикой или системами судейства. Условия * комфортный современный офис рядом с м. Кутузовская  * гибридный формат работы * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха более 400 образовательных программ СберУниверситета для профессионального и карьерного развития  * программа адаптации и помощь руководителя на старте  * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа  * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких  * вознаграждение за рекомендацию друзей в команду Сбера.

Задачи: — развитие аналитики и внедрение ML-моделей — решение задач прогнозирования — расширение... Требования: — опыт от 2 лет в Data Analytics, Data Science, ML Engineering или Data Engineering с практикой машинного обучения.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We’re seeking highly motivated Data Quality Analysts with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation. This is a hybrid quality reviewing and tooling role: - you'll spend the majority of your time reviewing and auditing Finance (any subdomain) annotations against rubrics to ensure data used for training and evaluating AI models meets the highest standards of quality and efficiency. - and the remainder building, maintaining, and troubleshooting annotation operations. You'll collaborate closely with the annotators, technical program manager, and science stakeholders, and contribute to refining the guidelines and processes that shape how our data is produced. Key Responsibilities - In collaboration with the technical team, review/audit annotations, clarify requirements, share insights, surface systemic issues, edge cases, and gaps in guidelines, to improve annotation processes and guidelines. - Generate and validate high-quality finance-oriented data annotations yourself when needed, based on guidelines and continuous feedback, for the development and evaluation of AI models - Build and maintain internal tools and automation that streamline annotation or review workflows such as visualization dashboards, batch configuration scripts, output management utilities, and similar - Troubleshoot campaign issues (e.g. tooling, guidelines) for annotators - Organise annotator training and coordinate feedback between annotators and reviewers. About you - A degree (minimum Masters level) in a Finance discipline. - At least 3 years of professional experience in the Financial domain. - Outstanding analytical and research skills - Some familiarity with programming languages, with the ability to read standard output formats such as .jsonl files. - Exercises great judgement with complex instructions, limited data, and/or multiple information sources and ability to surface edge cases, ambiguities, or gaps in guidelines accordingly. - Excellent communication, interpersonal, and organisational abilities - Adapts easily to dynamic environments and changing requirements - Appetite for operational work and high tolerance for repetitive tasks with a sustained focus and accuracy on detail-oriented, high-volume review work. - Professional proficiency in English, with strong writing and comprehension skills Nice to have - Familiarity with rubric-based evaluation concepts, inter-annotator agreement, or quality measurement for human-labeled data - Experience building an annotation team through interviews and training - Proficient in at least one programming language (e.g. Python) - Prior experience in data annotation for AI/ML, especially LLM training (SFT, RLHF, preference data), evals/benchmarks, or agentic data - Comfortable working in a Unix-like terminal and using git workflows (branches, merges, resolving conflicts)   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

В роли главного кредитного аналитика вы будете заниматься оценкой кредитоспособности компаний и их групп, анализируя финансовую отчётность, составленную по РСБУ и МСФО. В задачи входит участие в структурировании крупных кредитных сделок, подготовка кредитных заключений для принятия решений банком, а также оценка рисков и сопровождение корпоративных заёмщиков. Для успешной работы необходимы знания МСФО, навыки консолидации отчётности и финансового моделирования, понимание требований Банка России (590-П, 611-П, 199-И), опыт в кредитном анализе и структурировании сделок, а также умение проводить стресс-тестирование моделей. Предлагается официальное трудоустройство с графиком 5/2 и сокращённой пятницей, ДМС с стоматологией или компенсация спортивных занятий после трёх месяцев работы, а также корпоративное обучение и возможности для профессионального развития. Работа связана с анализом сделок среднего и крупного бизнеса и участием в принятии кредитных решений.

Задачи: — анализировать продуктовые требования/ПМИ/ПСИ и составлять use cases; — проводить разные виды тестирования: e2e, fail-over; — составлять тест-кейсы, тест-планы на продукт, как на новый функционал, так и на существующий; — принимать участие в совместных тестах, в т.ч. на площадке заказчика и взаимодействовать с командами разработки/L3/сервиса/документации. Требования: — экспертное знание и практический опыт работы с сетевыми протоколами, применяемыми в ЦОДах (MCLAG, BGP, OSPF, VxLAN и пр.) и офисах; — опыт работы с оборудованием Cisco, Huawei, Juniper и т.д.; — опыт составления/прохождения ПМИ/ПСИ; — опыт в тестировании/QA; — опыт траблшутинга сетевых проблем. Будет плюсом (любой из пунктов): — опыт тестирования сетевых устройств (коммутаторов/маршрутизаторов); — опыт разработки сетевой архитектуры/реализации проектов ее внедрения; — знание тенденций современных сетевых технологий, например: устройств на основе Open vSwitch, SDN; — курсы/сертификация Cisco CCNA, Juniper JNCIA, Huawei Certified ICT Professional/Expert (HCIP/HCIE) for Datacom, Ericsson Extreme.