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Location: Tbilisi, Remote/Georgia Workplace: remote About us: Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success. We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today. What began as a better way to pay at checkout has grown into a financial system working the way it should have all along. About the role: As a Risk Analyst at Tabby, you’ll play a key role in shaping and executing credit and fraud risk strategies across our BNPL products. You’ll work with large datasets to identify trends, monitor portfolio performance, and support decision-making that balances growth and risk. This is a hands-on, cross-functional role where you’ll collaborate with data, product, finance, and commercial teams to ensure healthy portfolio metrics across multiple markets. Key Responsibilities Analyze credit and fraud risk performance across customer segments and products Develop and optimize risk strategies to improve approval rates and reduce losses Monitor key risk indicators and portfolio trends; present insights to leadership Contribute to the design and rollout of new risk models and policies Collaborate with cross-functional teams to support launches in new markets and verticals Drive automation and efficiency in risk operations and reporting Skills, Knowledge & Expertise 2–4 years of experience in credit risk, fraud analytics, or a related data-driven role Strong analytical skills and experience with SQL, Python or similar tools Understanding of consumer lending, BNPL, or fintech risk models Ability to work independently and in a fast-paced, high-growth environment Clear communication and a business-oriented mindset Job Benefits Fully remote work We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. A working environment that gives you autonomy and responsibility from day one. You should be comfortable with the idea that the quality of your work will influence the shape of your career. Participation in the company’s employee stock options program. Flexi Perks : A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!

Location: Belgrade, Remote Workplace: remote About us: Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success. We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today. What began as a better way to pay at checkout has grown into a financial system working the way it should have all along. About the role: As a Risk Analyst at Tabby, you’ll play a key role in shaping and executing credit and fraud risk strategies across our BNPL products. You’ll work with large datasets to identify trends, monitor portfolio performance, and support decision-making that balances growth and risk. This is a hands-on, cross-functional role where you’ll collaborate with data, product, finance, and commercial teams to ensure healthy portfolio metrics across multiple markets. Key Responsibilities Analyze credit and fraud risk performance across customer segments and products Develop and optimize risk strategies to improve approval rates and reduce losses Monitor key risk indicators and portfolio trends; present insights to leadership Contribute to the design and rollout of new risk models and policies Collaborate with cross-functional teams to support launches in new markets and verticals Drive automation and efficiency in risk operations and reporting Skills, Knowledge & Expertise 2–4 years of experience in credit risk, risk analytics, fraud analytics, or a related data-driven role Strong analytical skills and experience with SQL, Python or similar tools Understanding of consumer lending, BNPL, or fintech risk models Ability to work independently and in a fast-paced, high-growth environment Clear communication and a business-oriented mindset Job Benefits Fully remote work We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. A working environment that gives you autonomy and responsibility from day one. You should be comfortable with the idea that the quality of your work will influence the shape of your career. Participation in the company’s employee stock options program. Flexi Perks : A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!

Location: European Union; Ukraine Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a Data Analytics Engineer to build, optimize, and maintain the analytical data layer that powers decision-making across the organization. You will transform business requirements into reliable, well-modeled datasets using dbt, SQL, and cloud data warehouses (BigQuery, ClickHouse). This role combines data modeling, documentation, data quality design, and close collaboration with analysts, engineers, and product teams to ensure consistent, trustworthy reporting. You will serve as the bridge between raw data ingestion and analytics — shaping how data is structured, validated, and delivered. Responsibilities - Design, build, and maintain dbt models (staging, core, marts) based on business needs - Develop scalable SQL transformations and ensure efficient, cost-effective query performance - Implement data quality tests (dbt tests, custom checks, anomaly detection) and maintain high data reliability. - Create and maintain documentation for datasets, data lineage, business logic, and transformation rules - Collaborate with Data Engineers on improving raw data structures, ingestion patterns, and source readiness - Partner with Data Analysts, Product Managers, and Marketing teams to translate business requirements into clean, reusable data models - Monitor data pipelines and marts, resolve issues, and prevent inconsistencies in reporting - Support governance initiatives: naming conventions, taxonomy, schemas, metric definitions, and standardization - Contribute to continuous improvement of our data modeling frameworks, performance tuning, and technical decision-making Requirements - Strong SQL experience with a deep understanding of analytical modeling concepts - Hands-on experience with dbt (models, tests, docs, macros) - Experience working with cloud data warehouses such as BigQuery or ClickHouse - Understanding of data modeling patterns - Familiarity with data engineering concepts (ELT/ETL, orchestration, version control, CI/CD) - Experience with data quality frameworks or implementing validation logic - Ability to translate complex business processes into clean analytical datasets. - Strong documentation skills and attention to detail - Experience collaborating with cross-functional teams and supporting analysts with reliable data - Knowledge of Python is a plus (but not required) Nice To Haves - Experience with orchestration tools (Airflow, Dagster) - Experience working with marketing, product, or billing datasets - Exposure to metric layers, semantic layer design, or BI governance - Basic understanding of observability tooling (Grafana, Prometheus, ... ) - Experience optimizing BigQuery costs or ClickHouse performance LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (90 minutes) - Final Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

➡️Ищем Senior аналитика антифрода в международный холдинг — платёжная вертикаль: депозиты/выводы, оркестраторы. 🧠 Что важно: 5+ лет в антифроде/рисках карточных платежей + SQL, REST API, BPMN/UML, английский B2+.

Location: Москва Workplace: В офисе О компании МТС Банк — команда, которая развивает цифровые финансовые сервисы и делает их доступными для всех. Мы работаем с современным технологическим стеком, высоконагруженными системами и облачной инфраструктурой. Такой подход позволяет создавать надёжные решения для бизнеса и клиентов. Обязанности разрабатывать, тестировать и оптимизировать правила выявления мошеннических операций анализировать схемы мошенничества в каналах ДБО ФЛ, карт, СБП и эквайринга расследовать фродовые кейсы, выявлять новые паттерны и формировать меры противодействия анализировать эффективность правил, fraud-потери и ложноположительные срабатывания развивать интеграции антифрод-систем: формировать бизнес-требования, маппинги и участвовать в тестировании реализовывать требования НСПК и мероприятия по противодействию дропперству отслеживать регуляторные изменения и внедрять их в процессы и системы банка взаимодействовать с ИТ, ИБ, бизнесом и смежными командами Требования опыт работы в банковском антифроде понимание схем мошенничества в ДБО ФЛ, картах, СБП и эквайринге опыт разработки и тестирования антифрод-правил, расследования фродовых кейсов опыт анализа эффективности правил и fraud-показателей уверенное владение SQL, Python будет преимуществом опыт работы с интеграциями: БТ, маппинги, тестирование знание 161-ФЗ, 6828-У, 716-П и профильной отчетности понимание ПС «Мир», PCI DSS, ISO 8583, СБП, NFC сильные аналитические и коммуникационные навыки Условия У нас ваши идеи не потеряются: предлагайте и обсуждайте, ищите новые решения и экспериментируйте. Мы всегда поддержим вас, а ещё предложим: достойную заработную плату ДМС со стоматологией с первого месяца работы удаленный/гибридный формат работы доступ к корпоративной библиотеке регулярные образовательные курсы и тренинги от корпоративного университета внешнее обучение цифровое пространство (безбумажный прием на работу, коворкинг, электронный документооборот) специальный тариф на мобильную связь скидки и бонусы на продукты и услуги от МТС, МТС Банка и партнёров; программу Best Benefits отсутствие дресс-кода современный и уютный офис в 2-х минутах от м. Технопарк кафе «Мечта» с полезными завтраками и вкусными обедами корпоративный спорт: йога, беговой клуб, вело-сообщество и другие тренажерный зал в офисе детские дни и подарки программу материальной помощи в различных жизненных ситуациях социальные проекты (раздельный сбор мусора, фандоматы, благотворительные ярмарки и волонтерские акции)

Анализировать HC (численность персонала), динамику и структуру, ФОТ и затраты на персонал. Создавать и поддерживать HR-дашборды, готовить отчётность.

Location: Worldwide About the role We are looking for a Junior Risk Analyst to join our Integrated Risk Management team, focusing on market risk and liquidity risk. Working within the bank’s second line of defense, you will help assess financial risks and monitor the bank’s ability to meet its obligations. You will apply mathematics, probability, and statistics to problems involving uncertainty, financial instruments, and market movements. Previous work experience is optional. We welcome graduates with a strong quantitative background, an interest in financial markets, and the ability to approach unfamiliar problems logically. Challenges that await you: Develop and maintain market and liquidity risk models, including VaR, LaR and stress tests, applying statistical and mathematical methods to financial data and time series Support capital adequacy calculations and capital planning Contribute to the risk appetite framework, translate it into risk limits, and monitor market and liquidity risk metrics against them Help design and document risk methodologies in line with Mexican and Basel requirements, accounting for the characteristics of financial instruments Use SQL and Python to automate risk calculations, reporting and dashboards using DWH data Investigate deviations in risk metrics, analyze their drivers, and communicate findings clearly to stakeholders to support risk management decisions What makes you a great fit: Education in mathematics, computer science, physics, or economics with a strong quantitative focus Strong knowledge of probability and mathematical statistics Algorithmic thinking and the ability to translate a problem into code Basic SQL and Python skills, including familiarity with NumPy and pandas Understanding of fundamental accounting principles B2 or higher English level for effective communication with an international team Independence, self-organization, and an interest in developing expertise in financial risk Your bonus skills: Understanding of financial markets, options, swaps, forwards, and financial mathematics involving stochastic processes Experience in market risk, liquidity risk, asset and liability management (ALM), or banking regulatory risk FRM or CFA qualifications Our ways of working : Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who dare to challenge the status quo of incumbent finances Our benefits: Relocation support to Georgia with assistance for the employee and their family Flexible work from one of our offices or remotely within time zones from GMT-2 to GMT+5 Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Ищем внимательного и системного специалиста, который будет отвечать за финансовые сверки, анализ расхождений и контроль расчетов с партнерами. • Проведение регулярных финансовых сверок.

Location: Worldwide; Serbia; Poland; Georgia; Armenia Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for a Senior Marketing Analyst. Your main tasks will be: Designing the upper-level logic for marketing budget management: rules and models for allocating budget across products and traffic sources, validating the approach and preparing it for automation. Developing and validating Early LTV metrics/models to support intra-week performance marketing and budget allocation decisions. Building analytical frameworks and tools for performance diagnostics: identifying drivers of changes, growth opportunities and anomalies across products, channels and campaigns. Participating in the development of an internal AI-based analytics tool for performance analysis, root-cause detection and opportunity discovery. Providing analytical support for the unified BI layer where needed: metric definitions, data validation and selected analytical use cases. We expect from you: Experience with A/B testing; Strong SQL skills: ability to independently work with large datasets, build complex analytical queries, and validate data quality. Strong knowledge of mathematical statistics and experimentation; ability to design validation/backtesting methodology and correctly interpret results. Strong understanding of performance marketing economics and metrics: LTV, CAC/CPA, ROI/ROAS, conversion funnels, cohorts, and attribution. Ability to build decision-making models and translate analytical findings into clear business rules/recommendations. Strong spreadsheet skills (Google Sheets / Excel). Experience with BI tools (e.g. Superset, Tableau, Power BI). English level B2+. Strong advantage: - Python for data analysis/modeling; - experience with forecasting, optimization or budget allocation models; - experience with Early LTV / predictive LTV; - experience building automated analytical products or AI/LLM-based analytics tools. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now! The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment.

Location: Москва В команду развития клиентского опыта необходим менеджер для организации процесса работы с бэклогами продуктовых команд. Обязанности ### Обязанности: * ведение CX-бэклога в рамках бизнес-планирования * контроль состава инициатив в стакане «Внешний клиентский опыт» (СХ, денежные, не СХ) * анализ бизнес-стакана на инициативы с потенциальным CX-эффектом * актуализация статусов, сроков и периодов реализации в разрезе трайбов/продуктов * контроль оцифровки инициатив и CX-эффекта * контроль полноты оцифровки инициатив на CX-метрики * выявление неоцифрованных инициатив * коммуникации через Штабы по выявленным отклонениям *   расчёт и мониторинг доли ресурсов на CX-инициативы * расчёт доли ресурсов, направляемых на инициативы стакана «Внешний клиентский опыт»; * мониторинг динамики доли в разрезе трайбов/юнитов * подготовка актуального среза по распределению ресурсов. *   взаимодействие со штабами и лидерами штабов * регулярное предоставление актуального статуса и динамики по CX-бэклогу: количество инициатив, статусы, сроки, уровень оцифровки, эффекты и доля ресурсов * проработка развилок и единой логики работы с бэклогом * контроль исполнения договорённостей и актуализации данных командами. Требования ### Требования: * продвинутый уровень Excel (сводные таблицы, формулы, Power Query) * уверенная работа в BI-системах (Tableau, Power BI или аналоги) для построения дашбордов * опыт ведения и приоритизации бэклогов (Jira, Confluence) * понимание методологий управления портфелем проектов (PPM) * умение рассчитывать долю ресурсов (FTE, бюджеты) * оценивать бизнес-эффекты от инициатив, опыт работы с ресурсными моделями * навык подготовки Executive-level презентаций (PowerPoint) — умение упаковывать большие массивы данных в понятный вывод для руководства * понимание продуктовых метрик (NPS, CSI, CES, Retention) и клиентских путей (CJM), знание основ юнит-экономики. Условия ### Условия: * комфортный современный офис на Кутузовском, 32 * корпоративный спортзал и зоны отдыха * уникальная система обучения Сбера для профессионального и карьерного развития, семинары, тренинги, конференции * программа адаптации и помощь руководителя на старте * ДМС, страхование от несчастных случаев, социальные гарантии * 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 * корпоративная пенсионная программа * корпоративные мероприятия.

Workplace: remote Обязанности Делать дизайны и оценки нестандартных экспертиментов через A/B (с обычными у нас платформа справляется); Заниматься end-to-end разработкой методологий и инструментов для оценки эффектов в случае, когда классические A/B-тесты неприменимы; Проводить полноценные рисерчи, чтобы применять лучшие инструменты в индустрии; Писать интересные статьи по результатам выполненных задач и не только. Условия работы Официальное оформление с белой ЗП, ежеквартальные премии по результатам работы; Удобный офис м. «Добрынинская» БЦ «Оазис»; Гибкий график работы (с 8/9/10 утра) / График работы: 5/2, с 9:00 до 18:15 (в пятницу — до 17:00); Возможность работать удалённо или в гибридном формате. Профессиональные навыки Опыт работы в DS-сфере от 4ех лет; Бэкграунд в Causal Inference / эконометрике (наука, учеба, работа); Владение базовым финансовым аппаратом (EBITDA, IRR, NPV, ТЭО) и понимание логики построения финансовых моделей инвестиционных проектов; Знакомство с современными подходами к анализу кросс-секционных и панельных данных (Doubly Robust Estimators (AIPW), DiD, TWFE, IV); Умение писать чистый и структурированный код на Python, знаешь классические алгоритмы и структуры данных; Знание SQL - умеешь строить оптимальные запросы, знакомство с hadoop-стэком будет плюсом; A/B тесты, генерация и проверка гипотез (будет плюсом опыт с variance reduction, CUPED, линеаризацией и методом бакетов).

Location: Москва Workplace: Гибрид Объединённая компания Wildberries и Russ — это международная технологическая компания, образованная в результате слияния двух лидеров рынка — IT-компании Wildberries и оператора наружной рекламы Russ. Мы в поиске Project manager в команду, которая занимается выплатами, тарификацией и бонусами для сотрудников складов и сортировочных центров. Обязанности Управлять задачами по развитию продукта, требованиями, приоритетами, беклогом; Выстраивать коммуникацию с заказчиками внутри департамента (другие команды) и с командами других департаментов, настраивать взаимодействие на всех этапах управления задачами; Формулировать, прорабатывать и фиксировать требования по реализуемым задачам; Управлять рисками проектов. Требования Имеете опыт работы проджект-менеджером от 3 лет; Знаете методологию управления проектами (Agile, Scrum, Waterfall); Имеете опыт работы с инструментами управления проектами (Jira, Trello, YouTrack и др.). Условия Обучение и развитие: языковые клубы, собственный корпоративный университет, программы развития управленческих навыков и многое другое; Благополучие сотрудников: корпоративный пакет ДМС со стоматологией, корпоративный спорт, консультации психолога и дополнительные возможности аккредитованной IT-компании; Множество сообществ: клуб спикеров, футбола, йоги, шахмат и т.д.; Забота о семьях: создаем условия, в которых легко сочетать карьеру и заботу о близких – от гибкого подхода до масштабных проектов для детей сотрудников; Скидки и партнерские программы: на обучение, страхование, покупки и многое другое; Комфортная рабочая среда: бесплатное питание в офисе, современные офисы рядом с метро, корпоративная техника и портал для сотрудников.

Workplace: Удаленно Объединённая компания Wildberries и Russ — это международная технологическая компания, образованная в результате слияния двух лидеров рынка — IT-компании Wildberries и оператора наружной рекламы Russ. Обязанности Работать с обращениями - диагностика, решение, маршрутизация, проработка плана по автоматизации процессов; Оперативно принимать организационные решения для скорейшего устранения инцидентов; Работать с инцидентами - диагностика, эскалация, координирование, инцидент-менеджмент (любой инцидент фиксируется и прорабатывается с целью исключить повторение проблемы); Работать с системами мониторинга; Формировать базу знаний и инструкции для поддержки; Участвовать в приеме новых проектов \ процессов \ сервисов в поддержку; Автоматизировать все рутинные \ повторяющиеся задачи; Формировать выборки и отчеты с помощью SQL-запросов; Ставить задачи на команды разработки c дальнейшей приоритизацией; Применять Postman\Swagger. Требования ​​​Имеете опыт работы в поддержке L2 от года (плюсом будет опыт работы в логистике e-com); Имеете опыт продуктовой поддержки; Понимаете принципы работы backend и frontend веб-приложений; Понимаете принципы работы SOAP веб-сервисов и REST API; Имеете базовое знание SQL, опыт работы с СУБД PostgreSQL, MySQL, MS SQL, или Oracle SQL; Умеете работать с логами в Kubernetes. Условия Обучение и развитие: языковые клубы, собственный корпоративный университет, программы развития управленческих навыков и многое другое; Благополучие сотрудников: корпоративный пакет ДМС со стоматологией, корпоративный спорт, консультации психолога и дополнительные возможности аккредитованной IT-компании; Множество сообществ: клуб спикеров, футбола, йоги, шахмат и т.д.; Забота о семьях: создаем условия, в которых легко сочетать карьеру и заботу о близких – от гибкого подхода до масштабных проектов для детей сотрудников; Скидки и партнерские программы: на обучение, страхование, покупки и многое другое; Комфортная рабочая среда: бесплатное питание в офисе, современные офисы рядом с метро, корпоративная техника и портал для сотрудников.

— Финансовое моделирование и оценка компаний (DCF, мультипликаторы). — Расчёт доходности инвестиций: IRR, MOIC.

Uphold is looking for Quality Assurance Analysts to plan, execute, and improve software testing and quality processes.

Location: Dallas, USA; New York, USA; Orlando, USA DataArt is seeking a highly motivated and experienced Senior Data & Analytics Consultant to join our dynamic team. In this pivotal role, you will partner with prestigious clients in the Healthcare and Life Sciences industries to tackle complex business challenges and develop impactful, solution-oriented strategies. As a key member of the DataArt Data & Analytics Lab, you will provide strategic consulting services to both clients and internal delivery teams, driving data strategy, data-driven organizational transformation, and other critical data and analytics initiatives. Beyond project delivery, you will also contribute to the growth of the Healthcare and Life Sciences practice and the Data & Analytics Lab through business development and go-to-market activities. The estimated salary range for this position is $190,000 to $240,000 per year. Forge strong, trusted-advisor relationships with senior client stakeholders and internal account managers, gaining a deep understanding of their business objectives and challenges Lead collaborative, value-driven engagements to define and solve complex data problems, ensuring alignment with client goals and business objectives Collaborate with Practice Leadership and Account Management teams to develop account plans and strategies that identify and capitalize on data-driven opportunities, driving revenue growth within existing workstreams and beyond Serve as the principal consultant, guiding clients through complex data transformation initiatives and ensuring successful outcomes; contribute to key strategic deliverables such as mission statements, assessment results, and roadmaps to support clients' data journeys Actively engage in data-related pre-sales activities, including opportunity assessment, RFP responses, proposal development, and deal closure Support team development by mentoring colleagues and providing expertise across strategic client accounts Drive client value and business growth by achieving revenue targets (e.g., enabled revenue, new account acquisition) and meeting billable utilization goals Contribute to the Healthcare and Life Sciences practice and Data & Analytics Lab by supporting go-to-market strategy, offering development, methodologies, and other strategic initiatives Proven experience driving data strategy, data governance, data maturity, and data-driven transformation projects for Healthcare and Life Sciences organizations, including Healthcare Providers, Payers, Healthcare Non-profits/Associations, Pharma & Biotech, Medical Devices, and others Extensive experience working within custom IT service, custom IT solution, and/or IT implementation environments, with a strong understanding of the custom software development services landscape Experience driving change management initiatives in enterprise environments Experience influencing data solution design and technology selection for enterprise data platforms, warehouses, data lakes, lakehouses, and data science platforms Experience implementing data strategies that enable the development of in-house AI platforms Experience in the Healthcare and/or Life Sciences industries in the US and Europe Solid knowledge of Healthcare and/or Life Sciences data regulations, such as HIPAA, GDPR, ISO 27001, and the EU AI Act Extensive knowledge of health data exchange frameworks, data formats, and nomenclatures, including FHIR, HL7, SNOMED, and ICD-10, as well as regulatory frameworks such as TEFCA (US) and EHDS (Europe) Strong understanding of data and technology consulting principles and practices Expertise in leading large data-driven programs and driving revenue growth within client account portfolios Skilled in contributing to business development and sales engineering teams or organizations Proven track record of managing complex technology initiatives while effectively communicating with senior business and IT stakeholders Demonstrated ability to develop and grow client relationships, facilitate strategy definition, and drive adoption Solid understanding of business operations, products, and services

Location: London, UK DataArt is seeking a highly motivated and experienced Senior Data & Analytics Consultant to join our dynamic team. In this pivotal role, you will partner with prestigious clients in the Healthcare and Life Sciences industries to tackle complex business challenges and develop impactful, solution-oriented strategies. As a key member of the DataArt Data & Analytics Lab, you will provide strategic consulting services to both clients and internal delivery teams, driving data strategy, data-driven organizational transformation, and other critical data and analytics initiatives. Beyond project delivery, you will also contribute to the growth of the Healthcare and Life Sciences practice and the Data & Analytics Lab through business development and go-to-market activities. Forge strong, trusted advisor relationships with senior client stakeholders and internal account managers, gaining a deep understanding of their business objectives and challenges Lead collaborative, value-driven engagements to define and solve complex data problems, ensuring alignment with client goals and business objectives Collaborate with Practice Leadership and Account Management teams to develop account plans and strategies that identify and capitalize on data-driven opportunities, driving revenue growth within existing workstreams and beyond Serve as the principal consultant, guiding clients through complex data transformation initiatives and ensuring successful outcomes; contribute to key strategic deliverables such as mission statements, assessment results, and roadmaps to support clients' data journeys Actively engage in data-related pre-sales activities, including opportunity assessment, RFP responses, proposal development, and deal closure Support team development by mentoring colleagues and providing expertise across strategic client accounts Drive client value and business growth by achieving revenue targets (e.g., enabled revenue, new account acquisition) and meeting billable utilization goals Contribute to the Healthcare and Life Sciences practice and Data & Analytics Lab by supporting go-to-market strategy, offering development, methodologies, and other strategic initiatives Proven experience driving data strategy, data governance, data maturity, and data-driven transformation projects for Healthcare and Life Sciences organizations, including Healthcare Providers, Payers, Healthcare Non-profits/Associations, Pharma & Biotech, Medical Devices, and others Extensive experience working within custom IT services, custom IT solutions, and/or IT implementation environments, with a strong understanding of the custom software development services landscape Experience driving change management initiatives in enterprise environments Experience influencing data solution design and technology selection for enterprise data platforms, warehouses, data lakes, lakehouses, and data science platforms Experience implementing data strategies that enable in-house AI platform development Experience in the Healthcare and/or Life Sciences industries in the US and Europe Solid knowledge of Healthcare and/or Life Sciences data regulations, such as HIPAA, GDPR, ISO 27001, and the EU AI Act Extensive knowledge of health data exchange frameworks, data formats, and nomenclatures, including FHIR, HL7, SNOMED, and ICD-10, as well as regulatory frameworks such as TEFCA (US) and EHDS (Europe) Strong understanding of data and technology consulting principles and practices Expertise in leading large data-driven programs and driving revenue growth within client account portfolios Skilled in contributing to business development and sales engineering teams or organizations Proven track record of managing complex technology initiatives while effectively communicating with senior business and IT stakeholders Demonstrated ability to develop and grow client relationships, facilitate strategy definition, and drive adoption Solid understanding of business operations, products, and services

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia; Lima, Peru New opportunities in Latin America! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite a skilled AI Engineer to join our team in building GPU-accelerated video analytics for real-time safety monitoring across large fleets and industrial environments. In this role, you’ll help design and optimize pipelines that detect and track actionable safety events in high-volume video streams. You’ll work on real-world systems that make an impact, collaborating with engineering and product teams to deliver reliable, high-performance solutions. 🟩 What's in it for you: Collaborate with top engineers on an innovative, technically challenging computer vision project Build impactful systems that enhance safety across large fleets and industrial operations Gain hands-on experience with GPU-accelerated video analytics, temporal tracking, and real-time safety monitoring ✅ Is that you? 7+ years of software engineering experience with strong backend skills 3+ years of experience shipping computer vision solutions to production Strong Python proficiency Experience with OpenCV, PyTorch, async I/O frameworks, and API integrations Hands-on experience with YOLO/Ultralytics or similar object detection frameworks Experience detecting, labeling, and tracking objects in video Solid knowledge of frame sampling, confidence thresholds, temporal filtering, and multi-camera aggregation Experience with GPU inference optimization (batching, stride, TensorRT, CUDA, quantization, throughput tuning) Ability to communicate and collaborate effectively with engineering and product teams Upper-Intermediate+ English level Desirable: Experience with Azure Event Hub, Blob Storage, Application Insights, or similar Familiarity with Docker, cloud deployments, and production monitoring systems Experience in temporal/sequence analysis for event detection Experience with video analytics in safety, compliance, or industrial/transportation environments 🧩 Key responsibilities and your contribution In this role, you’ll develop and maintain robust backend solutions that process video data and deliver actionable insights using pre-trained computer vision models. Develop and optimize GPU-accelerated video inference pipelines for real-time processing Implement, evaluate, and improve object detection models (YOLO or similar) Build temporal smoothing and tracking logic for safety event detection Optimize model performance using TensorRT, ONNX, CUDA, and GPU profiling tools Build and maintain integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services Add metrics, logging, telemetry, and fail-safe mechanisms for resilient inference jobs Contribute to dataset curation, labeling, and model evaluation; fine-tuning/training as needed Support containerized deployments (Docker) and assist with monitoring and scaling production workload Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.