Вакансии

Задачи: — Собрать сквозную модель данных: игрок, источники, ID, депозиты, бонусы, GGR/NGR; — Настроить витрины и дашборды, чтобы команда не просила выгрузки вручную; — Считать GGR и NGR на FTD по источникам, партнёрам и GEO; — Определять, каких партнёров масштабировать, а каких отключать при текущем CPA; — Вести когортный retention и LTV; — Строить ранний прогноз LTV на 3-й и 7-й день после FTD для принятия решений по ставкам и капам; — Вместе с тимлидом retention контролировать бонусную нагрузку по сегментам; — Проектировать и считать A/B-тесты и holdout-группы для CRM-кампаний и механик: определять, что дало реальный инкремент, а что нет; — Вместе с риск-менеджерами находить сигналы фрода и абьюза: мультиаккаунты, бонус-хантинг, аномалии по партнёрам; — Вести отчетность. Требования: — От 2 лет в продуктовой аналитике или аналитике данных, из них от 1 года в iGaming; — Сильный SQL: оконные функции, CTE, когорты; — Опыт с ClickHouse или PostgreSQL; — Свободно работаешь с GGR/NGR, bonus cost, LTV, ARPPU и когортным retention; — Самостоятельно собираешь дашборды в Metabase, Superset, Tableau или Power BI; — Знаешь статистику для A/B-тестов: размер выборки, значимость, holdout; — Умеешь делать из цифр вывод и рекомендацию, а не только отчёт. Будет плюсом: — Опыт с партнёрским трафиком: постбэки, трекеры, оценка качества по партнёрам; — Python для автоматизации и ETL; — Опыт работы с рынками LATAM. Условия: — Полностью remote; — Конкурентая заработная плата; — Оплачиваемый отпуск + больничный; — Возможность развития вместе с продуктом.

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

About the Company Our client is a fast-growing startup in the iGaming industry with a strong focus on online Poker alongside other gaming verticals. The company is committed to using data to drive growth, enhance the player experience, and optimise performance across every product and every stage of the player lifecycle. Qualifications & Skills Essential Languages: fluency in English and Russian. Experience: at least 2 years in data analysis, preferably in the iGaming industry or online Poker. SQL: confident writing and optimising queries against large datasets. Visualisation: proficiency in Tableau, Power BI or a similar tool, including dashboard design for non-technical users. Breadth: comfortable supporting several stakeholder groups at once and switching between commercial, product and marketing questions. Analytical rigour: strong problem-solving skills and the ability to process and interpret large, messy datasets. Communication: able to turn complex data into clear, actionable insight for both technical and non-technical audiences. Advantageous Statistical analysis in Python or R (segmentation, churn and LTV modelling, experiment analysis). Knowledge of online Poker and other iGaming products, including in-game economics, rake structures and tournament formats. Experience with Casino or Sportsbook data — provider feeds, RTP and hold, or betting margin. Familiarity with marketing and CRM platforms such as GA4, Appsflyer or Adjust, Braze, Optimove or Customer.io, and with affiliate tracking and attribution. dbt, Git or similar analytics engineering tooling.

Location: Cyprus; Bulgaria; Poland; Russia; Dubai, United Arab Emirates; Georgia Job Description (JD) Job Title Head of Analytics – Global Multi-Product Broker Location Limassol, Cyprus (Hybrid) or Remote (UTC−1 to UTC+4) Reporting To Chief Marketing Officer (CMO) About the Role We are seeking an experienced Head of Analytics to establish and lead our analytics function from the ground up. This is a unique opportunity to define the company's data strategy, build the analytics architecture, and create the foundations for data-driven decision-making across a rapidly growing multi-product brokerage business. Operating across CFDs, cryptocurrency, proprietary trading, and prediction markets, the business has reached significant scale without a centralized analytics function. As the first Head of Analytics, you will have full ownership of building the data ecosystem, defining business metrics, implementing attribution models, and establishing analytics best practices that will shape the organization for years to come. Key Responsibilities Analytics Strategy & Leadership Build and lead the company's first centralized analytics function. Define the long-term analytics vision, roadmap, and operating model. Establish data governance standards, metric definitions, and reporting frameworks. Partner with executive leadership to enable data-driven strategic decisions. Direct and mentor embedded analysts across multiple business functions. Data Infrastructure & Architecture Design and implement the end-to-end analytics technology stack. Select and deploy data warehousing, transformation, visualization, and reporting solutions. Build scalable analytics infrastructure to support multiple financial products. Develop a canonical data model across the organization. Ensure data quality, consistency, accessibility, and governance. Marketing & Attribution Analytics Design and implement multi-touch attribution across: Paid Search Paid Social Affiliate Marketing Mobile Acquisition Partner Programs Build unified customer journey tracking from first interaction through trading activity. Deliver accurate ROI and customer acquisition insights across all marketing channels. Establish standardized marketing performance metrics. Business Intelligence & Performance Reporting Develop real-time executive dashboards and KPI reporting. Create a single source of truth for business-critical metrics. Build reporting frameworks across CFDs, Crypto, Prop Trading, and Prediction Markets. Translate complex analytical findings into actionable business recommendations. Experimentation & Decision Science Establish a company-wide hypothesis testing and experimentation framework. Design and evaluate A/B tests and controlled experiments. Ensure business decisions are supported by statistically sound analysis. Champion a culture of evidence-based decision making. Stakeholder Management Collaborate closely with Marketing, Product, Technology, Operations, and Commercial teams. Resolve cross-functional alignment on data definitions and reporting standards. Present analytical insights to senior leadership and executive stakeholders. Team Building Lead, coach, and develop embedded analysts. Design the future analytics team structure. Recruit and onboard analytics talent aligned with company culture and business goals. Key Deliverables (First 12 Months) Months 1–6 Build the analytics infrastructure and technology stack. Implement event tracking across all customer touchpoints. Deploy centralized data warehouse and transformation pipelines. Launch UUID-based attribution across all marketing channels. Establish data governance framework and documentation. Months 6–9 Develop and implement the organization's canonical data model. Standardize definitions for key business entities and KPIs. Align stakeholders around consistent business metrics. Months 9–12 Deliver real-time KPI dashboards across all business lines. Launch experimentation and hypothesis testing framework. Enable marketing and product teams to make data-driven decisions. Begin scaling the analytics organization through strategic hiring. Requirements Required Qualifications Bachelor's degree in Analytics, Data Science, Computer Science, Mathematics, Statistics, Economics, Engineering, or a related field. Master's degree is advantageous. Experience Required Significant experience in Analytics, Business Intelligence, or Data Leadership roles. Experience building an analytics function from the ground up. Strong background in financial services, brokerage, fintech, cryptocurrency, trading platforms, or similar digital businesses. Demonstrated experience implementing multi-touch attribution models. Proven success designing analytics architecture and selecting technology stacks. Experience leading cross-functional analytics initiatives. Experience managing or mentoring analytics professionals. Technical Skills Data Warehousing ETL/ELT Architecture SQL Python or R Business Intelligence tools (Power BI, Tableau, Looker, etc.) Marketing Attribution Platforms Event Tracking Frameworks Data Modeling Dashboard Development Statistical Analysis Experiment Design (A/B Testing) Data Governance Core Competencies Strategic Thinking Analytical Problem Solving Leadership & Team Development Stakeholder Management Business Acumen Communication & Influencing Skills Decision Making Change Management Project Ownership Innovation Mindset Success Profile The ideal candidate has: Built multi-touch attribution across paid, organic, and partner marketing channels. Designed analytics architecture from a greenfield environment. Experience within CFD, crypto, brokerage, fintech, or adjacent financial services. Successfully aligned stakeholders around standardized data definitions. Driven experimentation and evidence-based decision-making. Demonstrated confidence in challenging assumptions with data. A builder mindset who views the absence of existing infrastructure as an opportunity. Benefits Why Join Us Build the analytics function from the ground up with full ownership. Define the company's data architecture, governance, and reporting standards. Shape the future of analytics across multiple global trading products. Influence executive decision-making at the highest level. Build and lead a high-performing analytics team. Opportunity to make a lasting impact on a fast-growing global organization.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Business Analyst, PlayStation Store San Mateo, Los Angeles, or San Diego, CA  (hybrid) About the Role Sony Interactive Entertainment (PlayStation) is seeking a Senior Business Analyst to help shape the future of our Direct-to-Consumer businesses - PlayStation Store and PlayStation Direct. You will lead the business analysis workstream for complex commercial initiatives, working with business leaders and subject-matter experts to understand business objectives, processes and customer needs. You will translate these needs into clear, testable business requirements that Product, Engineering, Analytics and Data Science teams use to design and build new ecommerce products and supporting tools. Throughout development, you will maintain alignment between business stakeholders and delivery teams, resolving ambiguity and ensuring the resulting solutions fulfil the underlying business need. If you have strong experience turning complex business problems and processes into clear business requirements and working across teams to deliver effective solutions, we’d love to hear from you. What You’ll Do Translate complex business needs into clear, structured and testable business requirements that Product and Engineering teams can execute against. Remain engaged throughout design and development, resolving ambiguity and validating that the solution meets the original business need. Work with business leaders and subject-matter experts to structure ambiguous problems, reconcile stakeholder needs and translate agreed objectives into clear requirements and measurable outcomes. Collaborate across Business, Product, Engineering, Analytics and Data Science teams to resolve issues, manage dependencies and ensure business needs are understood and fulfilled. Apply your understanding of customer journeys, commercial drivers and operational processes to assess how proposed products, features and business changes will affect customers and business operations. Map current and future-state business processes, identify opportunities for improvement or automation and support teams in implementing and embedding the resulting changes. Partner with Product, Analytics and Data Science teams to test commercial hypotheses, challenge assumptions and build the case for change. Influence senior stakeholders within initiatives through structured problem framing, commercial reasoning and clear, evidence-based recommendations. Share your experience and effective Business Analysis practices with other analysts, supporting the quality and consistency of the team’s work. What We’re Looking For Extensive experience in Business Analysis within digital commerce, subscriptions, retail or related fields. Demonstrated experience planning and leading business analysis for complex initiatives, managing multiple priorities and delivering measurable commercial or operational outcomes. Demonstrated experience partnering with Product, Engineering, Analytics and Data Science teams to design and deliver commerce products and supporting tools. Strong understanding of eCommerce customer journeys, commercial drivers and operational processes, with the ability to identify relevant dependencies and assess the likely impact of proposed solutions. Proven ability to engage business leaders and subject-matter experts, reconcile differing stakeholder needs and establish clear requirements where information is incomplete or priorities change. Demonstrated experience mapping and improving complex business processes, building the case for change and working with teams to implement and embed new ways of working. Strong communication and influencing skills, with the ability to explain complex issues clearly and support recommendations with commercial reasoning and evidence. Comfortable working across regions, time zones and cultures, with flexibility for international travel and varied working hours. Resilient and adaptable in ambiguous, fast-moving environments. Nice to Have Knowledge of payments, finance and supply chains. Experience integrating AI/ML into business solutions. Familiarity with digital content management and publishing. Awareness of governance and ethics in AI and data practices. Experience working in multicultural, international environments Bachelors Degree or equivalent preferred At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $147,000 — $220,600 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Dublin, Ireland About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Quantitative Analyst: As a Quantitative Analyst, you’ll operate at the intersection of sports trading, mathematics, and data science. Your primary focus will be on analyzing sport & betting data, developing predictive models, and assisting with trading decisions. You’ll collaborate with senior quants, traders, engineers and product managers to continuously improve pricing efficiency and expand the range of betting odds generated by our proprietary trading platform and continuously improve our risk models & management strategy. You will apply mathematical and statistical techniques to solve complex problems. It is an exciting opportunity for professional development in a dynamic and fast-paced environment. This is a hybrid role, requiring 2-5 days per week in our Dublin, Ireland office. No Visa sponsorship available. Experience While junior roles often don’t require extensive experience, any exposure to financial markets, data analysis, or quantitative research is beneficial. Internships or coursework related to quantitative finance or numerical modeling are a plus. Responsibilities As a Quantitative Analyst, your responsibilities will include Model Development Assist in the development, implementation, training and testing of mathematical models for pricing & managing the risk of sport betting events. Data Sourcing & Analysis Collect and clean sports-related data, Analyze large datasets of play by play (simulated or historical) and betting data to identify patterns, trends, and correlations that can inform trading strategies. Programming Use programming languages such as C# or Python to develop quantitative models, code and automate analytical processes, and perform data analysis tasks. Collaboration Collaborate with senior quantitative analysts, traders & product managers to understand business requirements, implement solutions, and communicate findings effectively Document and maintain clear and concise documentation of quantitative models, methodologies and analysis procedures for internal reference Continuous Learning Stay abreast of developments in quantitative analysis & betting markets, and related fields through self-study & training Qualifications Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Finance, Economics, or a related quantitative field. Outstanding mathematical, statistical and analytical skills. Excellent work ethic and good team skills Detail-oriented mindset with a commitment to producing high-quality work and adhering to best practices in quantitative analysis and research. Strong understanding of more advanced machine learning techniques is a plus Proficiency in at least one programming languages such as Python, C#, R, or C++ is a plus Salary range is listed in USD; ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. *Salary Range: (EURO) 44,000 - 52,000 (Salary range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual Offer is confirmed). In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range €44.000 — €52.000 EUR By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Продукт-аналитик в Maestra — малый американский non-VC бизнес ($5M ARR) от команды с 20-летним опытом в домене. Удалённая работа.

Location: Aya Napa, Cyprus; Larnaca, Cyprus; Limassol, Cyprus; Nicosia, Cyprus; Paphos, Cyprus; Paralimni, Cyprus Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Equity Analyst to join one of our clients' teams from Cyprus. International Private Equity Fund for its public equity and fixed income product line is looking for BUY SIDE ANALYST (GENERALIST) to cover US and EUROPEAN equities. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Responsibilities: Real estate and private equity project analysis; Running and updating financial project models; Building models and presentation materials for the internal use and partners/investors pitches; Collaboration with sell side analysts, companies/partner financial analysts/ investor relations; Credit analysis of international bond issuers and watch lists modeling in Excel/Bloomberg; International equity analysis for portfolio management, creation and keeping up to date equity watch lists; Downloading and statistical data analysis for back date investment ideas testing; Execution ad hoc assignments. Practical skills in business models/cash flow projections models for companies/projects; Practical skills in knowledge navigating around terminology for financial and credit analysis; Practical experience in trading securities is a plus but not required; Practical skills in sector/company/project analysis, SWOT-analysis; Valuation methodology knowledge for companies/projects; Good navigation skills through company’s accounting data and reports; Ability to sift through the large data loads; Basic skills to look up needed data in the open sources; Ability to accurately work with the large quantitative data; Experience and practical knowledge in financial presentations preparation; Practical experience building financial models in Excel, Power point, Visio; SQL programming is a plus; Statistical analysis programming knowledge is a plus; Perfect command of English is a must. Ability to digest financial technical documentation and research/financial statements reports. Russian or any other languages is a plus but not required.

Вакансия бизнес-аналитика в команду аналитиков, которая работает с AI-проектами, включая LLM, ML, Computer Vision, RAG и другие сценарии автоматизации для бизнеса.

Продукт - мобильное приложение, стрим MOP (mobile order and payment). Задачи: — Анализ и валидация бизнес-требований; — Проектирование решений и составление артефактов системного анализа; — Постановка задач команде разработки (backend-ios-android) и команде тестирования, ведение документации; — Контроль реализации функционала поставленным требованиям. Требования: — Техническое профильное образование; — Опыт работы от 3 лет в системном анализе; — Опыт построения ER/sequence/архитектурных диаграмм (UML, C4) и диаграмм бизнес-процессов (BPMN); — Опыт проектирования БД, написание SQL запросов (отличаешь where от having); — Опыт построения интеграций через API, db, queue; — Опыт проектирования REST API и gRPC; — Опыт работы с мобильными приложениями; — Опыт работа с микросервисной архитектурой. Условия: — Работа в компании с мировыми стандартами и легендарной историей; — Официальное трудоустройство в ИТ аккредитованную компанию; — ДМС со стоматологией со 2го месяца работы и льготное страхование для членов семьи; — Материальная компенсация спорта; — Возможности внутреннего и оплачиваемого внешнего обучения сотрудников, возможности карьерного развития; — Полугодовое премирование по результатам работы; — Гибридный формат работы - посещение офиса 1 раз в неделю.

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

В данной роли системного аналитика предстоит заниматься сбором и согласованием требований, а также описанием текущих и целевых бизнес-процессов (AS IS / TO BE). В задачи входит разбиение задач на более мелкие части и подготовка технических заданий для разработки. Аналитик будет прорабатывать API, интеграции, очереди сообщений, маппинги и базы данных. Необходимо готовить техническую документацию, включая ТЗ, функциональные технические требования (ФТТ), User Story, Use Case и критерии приемки. Также в обязанности входит проведение тестирования и анализ инцидентов, а также взаимодействие с заказчиками, разработчиками и архитекторами. Требуется опыт работы бизнес- или системным аналитиком не менее трех лет, знание BPMN 2.0, UML, SQL и реляционных баз данных. Важно иметь опыт работы с REST API, JSON/XML, инструментами Swagger и Postman, а также с Jira и Confluence. Необходимо понимание микросервисной архитектуры и интеграций. Приветствуется опыт в транспортной или распределительной логистике, особенно в нефтепродуктообеспечении. Знание систем TMS, WMS, OMS, ERP и логистических KPI будет дополнительным преимуществом. Работа предполагает гибридный формат в Москве, в IT-организации.

Задачи: — Разработка и актуализация политик, методических материалов, шаблонов, регламентов и процессной документации — Описание и формализация бизнес-процессов в нотации BPMN — Подготовка технических заданий для команды разработки на основе бизнес-требований — Согласование ТЗ с разработчиками, участие в приёмке реализованных решений — Участие в проектах совместно с командой проектного управления Требования: — Опыт работы бизнес-аналитиком, методологом или техническим писателем от 3 лет — Опыт работы с Jira и Confluence — Владение нотациями BPMN 2.0 и UML, опыт работы с инструментами моделирования (draw.io, Miro, Bizagi, Camunda, StormBPMN, Business Studio) — Понимание принципов моделирования бизнес-процессов, знание подходов BPM CBOK и BPMN Method and Style — Развитое аналитическое и структурное мышление, умение консолидировать разрозненную и неполную информацию — Умение работать с несколькими проектами одновременно — Способность учитывать общий контекст задачи и адаптировать подход — Навыки коммуникации со стейкхолдерами разного уровня, умение отстаивать интересы процесса и компании, управлять ожиданиями клиентов Будет преимуществом: Опыт работы в консалтинге, IT или финтехе Условия: — Работа в офисе: (Лимассол) — График 5/2, гибкое время начала рабочего дня — Корпоративное питание для сотрудников офиса (завтрак и обед) — Оформление разрешения на работу

Задачи: — Сбор и анализ требований бизнеса к финансовому блоку (бухгалтерский и управленческий учет). — Проектирование и описание методологии учета по стандартам РСБУ и МСФО (трансформация, консолидация, отчётность). — Работа с 1С:Документооборот (оптимизация процессов согласования финансовых документов, маршрутизация). — Написание технических заданий для разработчиков 1С, постановка задач и контроль их выполнения. — Участие в автоматизации процессов бюджетирования, казначейства и формирования финансовой отчетности. — Тестирование доработок и методологическая поддержка пользователей. Требования: — Опыт работы аналитиком 1С от 5 лет. — Глубокие знания РСБУ и МСФО (обязательно). — Практический опыт работы с 1С:Документооборот. — Понимание архитектуры 1С:ERP / УХ / Бухгалтерия (знание типовых конфигураций). — Опыт написания ТЗ и постановки задач разработке. — Умение читать код на языке 1С (для оценки трудозатрат) — будет плюсом. — Высшее финансовое или техническое образование. Условия: — Удалённая работа. — Локация: только РФ. — Формат сотрудничества: аутстафф. — Оформление: только через ИП открытое в РФ.

Требования: — Опыт самостоятельного ведения задач от формирования бизнес-требований до релиза — Опыт управления командой аналитиков в роли лида анализа — Умение проводить ежедневные командные встречи и рабочие ритуалы — Навыки сбора требований с помощью интервью, исследования систем и анализа документации — Навык документирования требований в формате Use Case, User Story, технического задания — Умение моделировать UML: Activity, Use Case, Sequence — Навык моделирования бизнес-процессов в BPMN на аналитическом уровне — Навык проектирования интеграций REST API и Kafka — Опыт документирования API в спецификации OpenAPI — Знание инструментов тестирования Postman, Conductor или аналогов — Навык проектирования БД в PostgreSQL и Redis, описание моделей Entity-Relation — Навык написания SQL-скриптов — Опыт работы с микросервисной и монолитной архитектурой — Знание архитектурных паттернов API Gateway, BFF — Опыт подготовки и проведения презентаций продукта и статусов Обязанности: — Взаимодействие с пользователями, заказчиками и другими стейкхолдерами для выявления потребностей и сбора обратной связи — Сбор, анализ и валидация функциональных и нефункциональных требований — Проектирование решений для реализации требований — Декомпозиция и постановка задач команде разработки: backend, frontend, API, интеграции, БД — Взаимодействие со смежными командами при реализации кросс-командных проектов — Консультирование команды по возникающим вопросам на этапах разработки и тестирования — Участие в разборе инцидентов, выявление причин и подготовка предложений по их устранению — Управление командой аналитиков в роли лида анализа Условия: — Полный рабочий день — Можно удалённо — Оформление только как ИП — Сфера проекта: Ритейл

Location: APAC; EMEA; Remote Roles - EMEA Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Team The Compliance function at OKX is responsible for the overall compliance program and culture of the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. About the Opportunity The successful candidate will have prior transaction monitoring/investigations experience in the financial services, FinTech or cryptocurrency industries. You will help support the Special Investigations team, focusing on analyzing blockchain data to identify potential illicit activities, money laundering and terrorist financing, involving cryptocurrencies. The job requires a mix of technical expertise, investigative skills, and knowledge of crypto markets and blockchain technology. What You’ll Be Doing Conduct in-depth investigations of complex AML cases, ensuring thorough analysis and adherence to regulatory requirements, through investigation of blockchain transactions to track and identify suspicious or illicit activities such as money laundering, and other criminal activities. Analyze data to identify process gaps and opportunities, and partner with Compliance, Training and other FIU stakeholders to recommend mitigating activities for risk and close process gaps. Evaluate AML transaction monitoring and suspicious activity reporting requirements for all countries where applicable. Collaborate with external partners, including financial institutions, government agencies, and blockchain companies, to share intelligence and insights. Work closely with law enforcement agencies, regulators, and legal teams to provide insights and evidence for criminal investigations. Stay abreast of changes to the cryptocurrency industry, financial crime trends, and regulatory requirements to assess impact to Transaction Monitoring. Support team training and knowledge sharing, fostering a collaborative environment focused on ongoing learning and professional growth. What We Look For In You 3-5 years of direct and strong technical experience in BSA/AML investigations and operations in relevant financial crimes, transaction monitoring and investigation roles. Demonstrated knowledge of BSA/AML, KYC regulations, risks and controls implementation globally. Strong understanding of blockchain technology, cryptocurrency protocols, and decentralized networks. Experience performing in a fast-paced environment and proven ability to meet deadlines. Self-motivated, critical thinker and adept at working independently and in a dispersed team environment covering multiple and varied tasks. Intuitive, highly ethical, and comfortable to question and challenge the status quo. Strong communication and presentation skills, both verbal and written. Proficiency in writing detailed investigative reports and communicating complex technical findings to non-technical stakeholders. Experience working independently and with team members of all levels. Nice to Haves Prior experience working in a multi-national or matrix environment. Familiarity with commonly used transaction monitoring & reporting tool(s), such as Solidus Labs, Chainalysis, or Elliptic. Relevant certifications in blockchain technology, digital forensics, or financial crime investigations such as CAMS, CFCS are a plus. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependents More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Москва Наша команда разрабатывает решения для оркестрации бизнес-процессов ипотечного домена, в основном связанных с перечислением денежных средств и хранением данных. Поэтому основной упор при разработке делается на отказоустойчивость создаваемых сервисов. Обязанности ### Обязанности * сбор и анализ требований * отрисовка сиквенс диаграмм, базового солюшена, проектирование модели данных * описание требований к системе * участие в интеграционно-функциональном тестировании * организация и согласование приемо-сдаточных испытаний * участие в разборе инцидентов при необходимости Требования ### Требования * опыт работы на позиции системного аналитика в ИТ-компании или финансовой организации от 3 лет * опыт разработки функциональных требований и проектной документации * опыт сбора и формализации бизнес-требований * опыт построения интеграций между автоматизированными системами * знание типовых паттернов интеграции систем, технологического стека * знание нотаций UML, BPMN * умение лаконично формулировать свои мысли устно и письменно Условия ### **Мы готовы предложить:** * гибридный формат работы * годовой бонус и ежегодный пересмотр зарплаты * расширенный ДМС с первого дня и льготное страхование для семьи * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * офис на Кутузовской, зонами отдыха и спортзалом * льготная ипотека в Сбере, корпоративная пенсионная программа, подписка СберПрайм+ с возможностью совместного использования на трёх близких.

Задачи: — Формировать ТЗ на доработку и интеграцию ИС — Прорабатывать требования и архитектурные артефакты — Взаимодействовать с бизнесом и смежными командами — Проектировать и согласовывать интеграции — Оценивать трудоёмкость задач — Контролировать реализацию требований — Участвовать в приёмочных испытаниях Требования: ✔️ UML / PlantUML и BPMN ✔️ Проектирование БД и уверенный SQL ✔️ Проектирование REST API ✔️ Интеграции через брокеры сообщений ✔️ Jira, Confluence и аналоги Будет плюсом: → Опыт в банковских IT-проектах и понимание банковских продуктов → Работа с системами аутентификации и биометрии → Опыт миграции функционала с монолита на микросервисы Условия: 🌍 Полностью удалённо по РФ 🕐 Full-time 🤝 Долгосрочный проект 💰 215 000–300 000 ₽ в месяц ❗️ Гражданство РФ и проживание на территории РФ обязательно ❗️ Москву и Санкт-Петербург не рассматриваем