Вакансии

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

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

Задачи: — собирать и формализовать требования от уровня идей и фичей до конкретных контрактов микросервисов и интеграций — декомпозировать эпики на пользовательские и системные истории — проектировать и ревьюить OpenAPI-контракты по подходу contract-first, согласовывать изменения общих контрактов (включая core-common) между командами — описывать событийное взаимодействие через Kafka: сущности, поля, ActionType, карту топиков и потоков данных — прорабатывать интеграции: протоколы и форматы обмена со смежными системами, модели идентичности и механизм проброса прав проектов из мастер-системы на базе общей системы идентификации — анализировать фичи, наследуемые из ядра GitLab (проекты, группы, членство и уровни доступа, MR, ветки, пайплайны, лейблы, сниппеты) — определять, что используется «как есть», что обёрнуто сервисами, что заменено городскими модулями, и переописывать эту картину в рамках апгрейда 15 → 17/18 — ставить задачи разработке, выполнять приёмочное ревью реализации на соответствие спецификации и участвовать в ревью спецификаций — разрабатывать схемы, сценарии и критерии приёмки, вести и актуализировать документацию подсистем — проводить демо-показы создаваемого функционала Требования: — опыт работы системным/бизнес-аналитиком в продуктовой разработке распределённых систем (микросервисы) — openapi/swagger на уровне написания и ревью спецификаций, а не только чтения — понимание событийной архитектуры (брокеры сообщений, pub/sub, идемпотентность, согласованность, обработка ошибок) — базовые знания Kafka — проектирование интеграций между системами: форматы обмена, контракты, версионирование, обратная совместимость — умение рисовать архитектурные схемы (uml / bpmn / er) — sql на уровне анализа данных (postgresql) Будет плюсом: — понимание модели gitlab (проекты/группы/доступы/mr/pipelines) и опыт с форками open-source — oidc/oauth2 и sso — sast/проверки безопасности кода, антивирусные проверки репозиториев — опыт в городских ис москвы — c4, redis/opensearch/s3 Условия: — рыночная зарплата и премии — драйвовые задачи и ресурсы для их реализации — гибридный формат работы, офис в бизнес-центре класса А (метро Курская) — преимущества аккредитованной IT-компании — материальная помощь в случае важных событий в жизни — корпоративное обучение у топовых провайдеров и доступ к онлайн-библиотеке — корпоративные тренировки и спортивные активности - бег, футбол, волейбол, баскетбол, теннис и другие — комьюнити по интересам — скидки от партнеров на ДМС, связь, развлечения, подарки, спорт и т.д.

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

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

Задачи: — Собирать и формализовывать требования: взаимодействовать с внутренними заказчиками, уточнять бизнес-задачи и переводить размытые запросы в понятную структуру отчёта; описывать показатели и логику их расчёта. — Работать с данными для отчётности: писать SQL-запросы, готовить датасеты и простые витрины на основе уже подготовленных данных, проверять достаточность витрин, и корректность данных, и расчётов для построения отчётов. — Работать с Superset: участвовать в развитии BI-платформы, создавать и настраивать датасеты, чарты и дашборды, проверять доработки в тестовой версии, участвовать в обработке бэклога и предлагать улучшения отчётности и визуализаций. — Участвовать во внедрении AI-решений в BI — от автоматизации создания отчётности, до развития AI-инструментов для анализа и интерпретации данных. — Поддерживать пользователей по вопросам отчётности, логики показателей и работы дашбордов. Требования: — Опыт работы в BI, аналитике данных, отчётности или смежной роли от 1,5–2 лет. — Уверенное знание SQL: JOIN, CTE, оконные функции, агрегации, CASE WHEN, фильтрация и работа с датами. — Опыт работы с BI-инструментами: Superset, Redash, Power BI, Tableau, Qlik, DataLens или аналогами. — Умение собирать требования, выстраивать коммуникацию с внутренними заказчиками, уточнять бизнес-задачи и согласовывать логику показателей. — Понимание принципов построения аналитических витрин и управленческой отчётности, визуализации данных; умение создавать понятные и удобные дашборды. — Умение объяснять пользователям, как формируются цифры в отчётах. — Базовое понимание витрин, датасетов, справочников, фактов и измерений. — Готовность работать с тестовой версией BI-инструмента и проверять небольшие доработки. — Будет преимуществом опыт использования AI-инструментов и агентов в аналитике и автоматизации, а также понимание принципов построения агентных процессов: постановки и декомпозиции задач, управления контекстом, подключения инструментов и источников данных, контроля качества и проверки результатов. Условия: — Официальное оформление по ТК РФ: белая заработная плата, стабильный и прозрачный доход, оплачиваемые отпуск и больничные. — График работы 5/2 с 9:00 до 18:00, сокращённая пятница. — Современный и уютный офис с комфортными зонами отдыха, Дмитровское шоссе, 85 Метро «Селигерская». — Поддержка в период адаптации: открытую коммуникацию и помощь команды в решении рабочих вопросов. — Значительные скидки на ассортимент компании: мебель, гаджеты и бытовую технику. — Регулярные командные встречи, тимбилдинги, клубы по интересам и корпоративные мероприятия. — Амбициозную и поддерживающую среду для вертикального и горизонтального роста. — Доля сотрудников, успешно выросших внутри компании, превышает 20% штата. — Демократичную корпоративную культуру и общение «без галстуков» на всех уровнях компании. — Собственную инфраструктуру: прямой доступ к серверам, сервисам и базам данных, а также возможность быстро внедрять новые подходы и инструменты без долгих согласований. — Возможность активно работать с AI-инструментами и агентными подходами, участвовать в их внедрении и развитии.

В роли продуктового аналитика предстоит работать с приложением для сотрудников, используя данные и аналитику пользовательского поведения для его развития. Основная задача — анализировать информацию, чтобы улучшать продукт и принимать обоснованные решения на основе полученных данных.

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

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

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

Задачи: — Аналитика в области продукта и риска (актуально для продуктовых аналитиков и риск-аналитиков). Требования: — Опыт работы от 3-х лет; — Хорошее знание теории вероятностей и математической статистики; — Знание SQL, Python, Excel; — Опыт визуализации в BI системах (Tableau, Power BI, Datalens, Superset и т. д.).

Задачи: — работать с большим объёмом данных, которые уже хорошо структурированы — исследовать и структурировать данные совместно с большой командой

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

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

Location: Madrid, Spain Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We are looking for an experienced and operationally sharp Security Operations & Incident Response Analyst (L3) to join Aleph's global IT Security team. Reporting to the Global CISO, you will be the first line of defence when incidents occur and the engine behind the team's threat detection and response capabilities. You will own the end-to-end incident response process, lead threat hunting and intelligence activities, and manage the vulnerability and identity governance programmes — ensuring Aleph is both able to detect threats quickly and respond to them effectively across a complex, globally distributed environment. What you'll do: Incident Response Own and coordinate the end-to-end incident response process : identification, triage, containment, eradication, recovery, and post-incident review (lessons learned). Serve as the primary point of contact for security incidents escalated from IT Operations, the Security Engineer, and external sources. Maintain and continuously improve incident response playbooks for the most relevant threat scenarios (ransomware, phishing, account compromise, data breach, insider threat, etc.). Manage the security incident log and register : track all incidents, document timelines and actions, and produce trend analysis and reporting for the CISO. Coordinate with external SOC or MDR providers where applicable: review daily reports, validate alert quality, and manage escalation workflows. Data Breach Management Lead data breach investigations : scope the breach, gather and preserve evidence, assess PII exposure, and coordinate response with Legal, Privacy, and HR. Produce breach investigation reports with findings, root cause, and recommendations. Threat Hunting & Intelligence Conduct proactive threat hunting across the environment: develop hypotheses based on threat intelligence, search for indicators of compromise (IoCs), and investigate anomalous behaviour. Manage the Threat Intelligence function : track relevant threat actors, TTPs (MITRE ATT&CK), and sector-specific threat campaigns; integrate intelligence into SIEM/XDR detection rules and hunting queries. Produce threat intelligence summaries and briefings for the CISO and relevant stakeholders. Vulnerability Management Own the vulnerability management programme : schedule and execute periodic vulnerability scans across infrastructure, endpoints, and cloud environments. Analyse scan results, prioritise findings by risk and exploitability, and coordinate remediation with IT Operations within agreed SLAs. Track remediation progress, produce vulnerability metrics, and report status to the CISO. Validate remediation effectiveness through re-scanning and spot-checks. Identity & Access Management (IAM) Manage periodic access reviews : coordinate with system owners and HR to review and certify user permissions across critical systems, ensuring least privilege is maintained. Oversee the Privileged Access Management (PAM) programme: define PAM policies, monitor privileged account usage, and review access rights for administrator-level accounts. Investigate and respond to identity-related anomalies and access policy violations. What we are looking for: 3–5 years in a SOC analyst, incident response, or security operations role, with at least 1–2 years at L3 level is a plus. Experience implementing or managing IAM and PAM solutions Experience working within international or multinational environments. Hands-on experience with incident response engagements (internal or consulting) is strongly valued. Relevant certifications: GCIH, GCFE, GCFA, CEH, CompTIA CySA+ , or equivalent. OSCP is a plus. Strong hands-on experience with SIEM platforms (alert triage, rule writing, query development) and EDR/XDR tools . Solid knowledge of the MITRE ATT&CK framework and its application to threat hunting and incident response. Experience conducting vulnerability scans using tools such as Tenable Nessus, Qualys, Rapid7, or similar. Familiarity with IAM and PAM concepts and platforms (e.g. CyberArk, BeyondTrust, Azure PIM, or equivalent). Experience with digital forensics and incident response (DFIR) methodologies: evidence collection, log analysis, and timeline reconstruction. Knowledge of threat intelligence platforms and feeds (e.g. MISP, VirusTotal, threat intel feeds). Understanding of ISO 27001 incident management controls, NIS2 incident reporting obligations, and PCI DSS requirement 12.10 . Calm and decisive under pressure. Strong investigative mindset with structured problem-solving approach, excellent documentation skills. Ability to communicate incident status and findings clearly to both technical teams and executive stakeholders. Collaborative and proactive, comfortable working asynchronously across time zones. English : full professional proficiency (C1/C2) — primary working language. Spanish : professional proficiency is a plus. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 48,000 EUR. In addition to base salary, this role includes a variable component, paid annually. The final offer will reflect your experience, skills, and the scope of the role.   #Aleph Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Компания Winline, работающая в сфере ставок, приглашает на позицию продуктового аналитика CRM-системы уровня Middle/Senior с офисом в Москве. В обязанности входит самостоятельное ведение полного цикла работы: от получения бизнес-запроса и анализа задачи, через определение целевого сегмента и механики, создание сценария в CRM, запуск и мониторинг результатов, до выявления возможностей для улучшения.

Требования к кандидату: — 3+ года опыта в аналитике — Уверенное владение SQL — Опыт работы с dbt или аналогичными инструментами — Широкий аналитический опыт (продуктовая, бизнес- и revenue-аналитика) — Умение работать с логикой и данными как B2B-, так и B2C-бизнесов FunnelFox — no-code инструмент для роста дохода приложений через Web2App-воронки. Мы строим аналитическую инфраструктуру на базе собственного хранилища данных, dbt и Airflow. Ваша работа будет использоваться как для внутренних решений, так и для отчётности перед клиентами, поэтому точность и надёжность данных имеют критическое значение.