Вакансии

Стажировки в BI.

анализом событий информационной безопасности; выявлением тактик и техник злоумышленника и сбором IOC;

Location: Paris Workplace: OnSite ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. Please note that we have rotating internship opportunities available every six months, providing ongoing opportunities for new talent to join our team. TEAM Our Corporate teams support the company’s performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. ROLE Voodoo’s Corporate function is composed of five teams: HR, Talent Acquisition, Legal, M&A and Finance, working together to drive Voodoo’s success. Responsibilities - Support the HR team to ensure compliance with labor regulations within the organization in France and abroad (> 20 countries) - Help performing legal analysis of operational practices - Provide legal support to our HR Specialist with respect to onboarding / offboarding and daily labor matters - Prepare regular updates on legal changes - Map legal obligations towards employee representatives (CSE) in particular with respect to regular consultation processes - Prepare invites, agendas and as the case may be information notes to be delivered to employee reps; attend CSE meetings - Participate in the preparation of company collective agreements or policies CONTRACT - 6 months internship starting in January 2026. - For Bar Student PPI more than welcome. - No relocation program. PROFILE - Fluent both in French and English - A first successful experience as an intern in Labor Law and a very good knowledge of French labor regulations - You master the Office Pack and demonstrate rigor, diplomacy, and a sense of confidentiality - Sense of listening, availability, ability to work in a team, and a good sense of humor will be great assets for a successful journey at Voodoo BENEFITS - Competitive gratification - Lunch Vouchers : You will receive €10 per working day with Swile https://www.swile.co/fr-fr to spend in restaurants and supermarkets. - Transportation : Reimbursement of transportation costs up to 50% - Remote Policy: You may work remotely every Monday and Friday.

Location: Paris, France Workplace: OnSite HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ DATA ASSOCIATE ⭐ The position is a six-month end-of-studies internship in Paris, with a flexible start date. Data Associates join a product or business crew and work alongside a senior member of the Data team, taking on a real share of their projects. It is the same work as the rest of the team, building insights and data-powered products that help our members stay healthy, at a pace and scope designed for someone starting out. Our team is full stack: each member sits in a crew next to engineers, product builders and designers and leads projects from A to Z, covering analytics, engineering and science. We mainly use SQL, Python, dbt, Airflow and Metabase, and Claude Code and AI agents are part of our daily workflow. Want to know more? Read our vision for the Data team https://medium.com/alan/vision-for-a-data-team-2eae845b8052 (old one, but still relevant) and how our Data team is re-inventing its craft with AI https://medium.com/alan/re-inventing-our-craft-how-alans-data-team-is-shaping-its-future-with-ai-e8d73d095ece. This is our first generation of Data Associates, and we built the program with one goal: you join us full-time at the end of it. That decision is made at your 5-month review. ⭐ DETAILED MISSIONS ⭐ What you work on depends on the crew you join, something that is decided once you start your internship, but your six months will mix: - Answering real business or product questions: framing the problem, digging into the data and turning what you find into a recommendation your crew acts on. - Building tools people use: a dbt model, a dashboard a team uses every week, a tool powered by AI. You would ship them end to end, with your senior counterpart supporting you on key steps - Growing with the Data community: joining our main rituals (retros, insights sharing sessions, on-call shifts), and later helping us recruit the next generation of Data Associates You won’t be alone: from day one, you will benefit from a senior Alaner from the Data team to work with at the office and a coach from the Data team as well. ⭐ IS IT YOU WE'RE LOOKING FOR? ⭐ Please note that for this internship, you need to: - Be based in Paris, France - Work from our Valmy office at least 3 days a week - Be in the final year of your studies (engineering or business, with a strong quantitative track), with an internship agreement from your school You would be a great fit if most of this sounds like you: - You want a career in Data, across the whole spectrum. If what you want above everything else is to build ML models, a research internship is probably a better fit for you - You have used SQL and Python, at school, in an internship or on a side project. We teach you the rest - Analytical sense and rigor: you ask the right question before you reach for the data, and you can tell a real signal from noise - Business & product sense: you care about what the numbers change for members and for the company - Effective communication: you explain a result simply, in writing and out loud - High agency and growth mindset: facing an unfamiliar problem, your first instinct is to find a way through, and you ask for feedback to grow - AI fluency: you already build with AI tools, and you are curious about where they fall short - You are fluent in English (no need to speak French!) But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. For this internship, we are hiring at the A2 level of our salary grid https://alan.com/en/careers/a/salary-equity. 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: people joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work. #LI-DNP

Location: London 2027 - Internship, Surveillance Programmes offered: Final-year internship, penultimate-year internship Location: London Programme duration: 3–6 months or 12-month industrial placement, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Central functions underpin QRT’s global investment business, providing the expertise, infrastructure and operational support essential to our research, trading and technology teams. Working in close partnership with colleagues across the firm, these teams manage core business processes, maintain effective controls and ensure the business has the resources and support it needs to operate efficiently. Their work helps QRT navigate the demands of a complex global organisation, meet its obligations and build the foundations for continued growth. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. As a Surveillance Intern, you will join QRT’s Compliance department in London and gain practical experience monitoring trading activity across global markets. You will work closely with Compliance Advisory, Risk, Trading and Technology teams to help identify potential market abuse or disorderly trading, improve surveillance processes and support QRT’s regulatory obligations. You may contribute to activities including: Reviewing trade surveillance alerts and helping investigate unusual or potentially suspicious trading activity. Developing an understanding of market-abuse typologies, including spoofing, layering and insider dealing. Analysing trading activity across multiple asset classes, markets and jurisdictions. Helping integrate new markets, products, and data sources into the surveillance framework. Working with technology and data teams to improve monitoring tools and surveillance processes. Your current skillset Eligibility – Penultimate or final year students pursuing a Bachelor’s, Master’s, or PhD in a STEM discipline, on track for a 2:1 or above . Technical Skills – Examples of relevant experience include: Interest in financial markets and electronic trading, and basic knowledge of different asset classes such as equities, derivatives, fixed income and cryptocurrencies. Strong analytical and problem-solving skills, with the ability to investigate data, identify patterns and reach well-reasoned conclusions. Experience with Python or SQL and familiarity with data analysis, automation or the use of emerging coding and AI-assisted programming applications. Good communication skills and writing skills Examples of the projects you may work on include: Analysing order and trade data to identify patterns that may indicate suspicious or disorderly trading, supporting the investigation and documentation of daily surveillance alerts. Analysis of flagged electronic or voice communications Testing and calibration of surveillance alerts, thresholds and detection logic. Building data-analysis or automation tools to improve the efficiency and effectiveness of surveillance reviews, including the design and development of data quality controls. Working with Compliance, Trading, Risk and Technology colleagues to understand trading behaviour and resolve data or surveillance issues. Mindset Curious and intellectually rigorous, with a genuine interest in financial markets, technology and data. Analytical and detail-oriented, with the ability to investigate unfamiliar problems in a structured manner. Clear and thoughtful communicator who can explain findings to both technical and non-technical colleagues. Collaborative and comfortable working with Compliance, Trading, Risk and Technology teams. Approach – Entrepreneurial, self-motivated, and results-driven Interviewing Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you reason through engineering problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London 2027 - Internship, HR Technology Programmes offered: Final-year internship, penultimate-year internship Location: London Programme duration: 3-6 months internship, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Throughout recruitment, we will work to align your skills, interests, and potential with teams where you can make the greatest impact. We are recruiting across two internship tracks: HR Data Analytics With mentoring from experienced engineers, help build the HR analytics platform, transforming raw data into clean, accessible formats. Work across business areas to deliver insights for managers, business partners, and senior leaders. Examples of the projects you may work on include: Build, deploy and maintain scalable, secure pipelines using AWS S3, ECS and Lambda; centralise Workday and Greenhouse data in warehouses for BI tools. Build Python and Kotlin services to automate workflows; test, monitor and troubleshoot data flows for accuracy. Partner with HR, analytics engineers and leadership to align technical capabilities with business needs and deliver actionable insights. Develop interactive BI dashboards using tools such as Python Dash. Document pipelines, models, transformations and data assets, including ETL documentation and metric glossaries; uphold data security, compliance and access controls. HR Software Engineer Build full-stack applications and integrations connecting core HR systems to the wider business, from conception to production. Translate HR requirements into scalable, cloud-native tools with clean code and sound data models. Automate repetitive work to improve employee experience and free HR colleagues for judgement, creativity, and human conversations. Examples of the projects you may work on include: Build internal tools beyond standard platform configuration, with interfaces using React, Python Dash or similar, and secure APIs and middleware connecting HR and corporate systems. Synchronise employee data using AWS S3, ECS and Lambda; automate manual processes in Python and Kotlin to reduce overhead and data entry errors. Test automation and implement error handling, logging and monitoring so integrations are reliable and trusted without manual checks. Translate HR logic into technical specifications, document tools and meet GDPR and financial services security standards. Work with functional analysts and stakeholders to identify friction in the employee lifecycle and propose software solutions. Your current skillset A degree in a numerate, scientific or computing discipline; equivalent practical experience is welcome for Data Analytics. A solid grounding in Python for automation, data or applications; object-oriented design for Software Engineering. Data modelling: metrics and semantic layers for BI in Data Analytics; SQL and models for transactional applications and analytical reporting in Software Engineering. Cloud familiarity, ideally AWS: willingness to learn storage and pipelines for Data Analytics; hands-on application deployment and operation, ideally with S3, Lambda or ECS, for Software Engineering. An analytical approach, clear communication, and enthusiasm for collaborating with technical and non-technical colleagues. Additional requirements — HR Data Analytics Exposure to ETL concepts or tools through study, internships or personal projects. Additional requirements — HR Software Engineering Experience with Kotlin or another statically typed JVM language. Front-end experience with JavaScript, HTML and CSS; familiarity with React, Bootstrap or Python Dash. Understanding of REST and SOAP APIs, JSON, XML and data transformation. Nice to have Exposure to Workday, Greenhouse, employee lifecycle data or HR metrics such as retention, engagement and performance. Infrastructure as code, particularly Terraform. Experience integrating AI, LLMs or agents, understanding their strengths and limitations. Data Analytics: front-end or user-experience skills, including Python Dash or React. Software Engineering: Git and CI/CD pipelines. Interview Process: Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a technical interview with the relevant team. Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you reason through engineering problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London 2027 – Internship, Business Data Analytics Programmes offered: Final-year internship, penultimate-year internship Location: London Programme duration: 3-6 months internship, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Join QRT’s growing Business Data & Analytics (BDA) team to turn internal and external data into practical business solutions. Work with developers and business stakeholders to research questions, explore complex datasets, and build tools that inform senior stakeholders. We are recruiting across three internship tracks, depending on your strengths and interests: Applied AI Engineering — Build and evaluate tools using LLMs, agents and retrieval to support research, automate workflows and enhance applications. Applied Data Science — Structure and connect data, apply statistical, machine learning and graph-based methods, and build data applications for the business. Investment Analytics — Work with the investment team to turn complex data into clear insights and develop tools supporting investment decisions. Your responsibilities will include: Translate business questions into analytical approaches, research and evaluate methods, and develop prototypes for integration with developers. Combine, structure and validate datasets across firms, teams and people; collect and analyse financial, market and portfolio data. Build dashboards monitoring investment performance, portfolio exposures, risk metrics, and market trends. Support investment research through quantitative analysis; communicate findings through clear visualisations and explanations for non-technical stakeholders. Assess accuracy and reliability, documenting assumptions and limitations. Prototype and test AI agents for document information extraction, research summaries, and recurring reports. Your present skillset Studying towards, or recently completed, a degree in Computer Science, Statistics, Data Science, Mathematics or another STEM discipline with relevant practical experience. Strong Python skills, clean, well-structured code, and experience cleaning, joining and modelling data from multiple sources. Intellectual curiosity about business, data and technology; strong analytical and problem-solving skills and a consulting mindset. Evidence of taking an open-ended problem from idea to working solution through projects, coursework, research or internships. Clear communication, initiative, and organisation, with confidence working through undefined requirements. Track-specific skills Demonstrate experience in your preferred track. Personal and passion projects are welcome: we are interested in what you built, your decisions, and what you learned. Applied AI Engineering — Hands-on experience with LLMs, including agents, tool use or retrieval; ability to assess AI outputs for accuracy, reliability and usefulness; interest in software deployment, operation and integration. Applied Data Science — Experience applying analytical or statistical methods, visualising data and presenting findings to non-technical users. Prior machine learning experience is not required; curiosity and solid data experience are valued. Investment Analytics — Attention to detail, interest in financial markets and investing, working knowledge of Python and Excel for data analysis, and interest in LLMs, AI agents and automation. Clear communication, initiative and collaboration. Good to have Graph data experience with Neo4j, NetworkX or similar. SQL. Cloud platforms, particularly AWS. Machine learning, including community detection, link prediction and embeddings for the Data Science track. Data applications or APIs using Dash or FastAPI. Interview Process: Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a technical interview with the relevant team. Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you reason through engineering problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Москва Workplace: Гибридный О компании МТС Web Services (MWS) — бигтех-компания, предоставляющая облачные, AI-сервисы и платформенные решения под разные задачи бизнеса: от работы с данными до разработки продуктов и оптимизации процессов. Также мы запустили новую публичную платформу собственной разработки — MWS Cloud Platform. Мы ищем стажера в SMM-направление группы технического пиара MWS, который поможет нам развивать и улучшать страницы сообщества True Tech в Telegram и VK. Команда занимается техническим PR и помогает понятно и интересно рассказывать о работе и жизни в ИТ на медийных площадках: Хабре, VC, «Типичном программисте», «Коде Дурова» и других. Обязанности Вместе с руководителем предстоит разрабатывать контент и выстраивать коммуникации с участниками в сообществе True Tech; Участвовать в подготовке контента: помогать редактору и коллегам с интервьюированием технарей, ведением реестров (публикаций, мероприятий, наград); Стать «своим человеком» для активных сотрудников МТС в центре бренда: помогать людям, которые хотят делать контент (или получать от нас помощь в его подготовке), но пока не знают, как это сделать. Требования Грамотность, умение организовывать людей в сообщества, понимание принципов работы с контентом; Любовь к людям и общению с ними, харизма, самостоятельность, системность, коммуникабельность, здоровое любопытство; Умение планировать и укладываться в сроки. Условия График работы 20-40 часов в неделю; Развитие в командах профессионалов и опытный наставник, готовый делиться опытом; Мобильная связь за счет компании; Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети; Специальные предложения от партнеров и скидки от продуктов экосистемы МТС; Непрерывное развитие — доступ к курсам и вебинарам корпоративного университета и онлайн-библиотеке.

Location: Москва Workplace: В офисе О компании МТС Web Services (MWS) — бигтех-компания, предоставляющая облачные, AI-сервисы и платформенные решения под разные задачи бизнеса: от работы с данными до разработки продуктов и оптимизации процессов. Также мы запустили новую публичную платформу собственной разработки — MWS Cloud Platform. Обязанности Помогать в подготовке регулярных финансовых отчетов для топ-менеджмента компании (проведение анализа исполнения бюджета компании, выявление отклонений от плана, подготовка факторного анализа); Собирать продуктовый PnL (ежемесячное обновление факта доходов и расходов, прогноз исполнения бюджета по коммерческим продуктам); Анализировать расходы ФОТ в разрезе категорий персонала, ЦО, ролей (drill down до причин перерасхода/экономии ФОТ); Проводить сверки различных систем учета, искать расхождения и формировать рекомендаций по их устранению (сверка HR отчётности с продуктовой и управленческой). Требования Высшее образование (или в процессе обучения); Готовность работать 4 и более часов в день, 4 или более дней в неделю; Знание Excel - формулы ВПР, СУММПРОИЗ, СУММЕСЛИ, сводные таблицы; Знание функционала 1С (универсальные отчеты, ОСВ, анализ счета) и умение работать с OLAP-кубами (будет плюсом). Условия График работы 20-40 часов в неделю; Развитие в командах профессионалов и опытный наставник, готовый делиться опытом; Мобильная связь за счет компании; Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети; Специальные предложения от партнеров и скидки от продуктов экосистемы МТС; Непрерывное развитие — доступ к курсам и вебинарам корпоративного университета и онлайн-библиотеке.

Location: Екатеринбург Workplace: В офисе О компании Стажировка в МТС — это твой шанс получить реальный опыт в сильной компании. Начать можно с любого месяца! Ты прокачаешь свои навыки в настоящих проектах и будешь учиться у профессионалов, а по итогам стажировки мы сможем предложить тебе оффер. Обязанности создавать и согласовывать проекты заказов к рамочным договорам; координировать закупочную деятельность с заказчиками и поставщиками; контролировать сроки поставки и урегулировать просрочки; обрабатывать первичные бухгалтерские документы и обеспечивать их согласование; соблюдать установленные временные рамки (lead time) закупочных процессов. Требования ты в т.ч. студент или выпускник; владеешь Excel на продвинутом уровне — умеешь работать со сводными таблицами, макросами и функциями ВПР, VBA, vlookup и другими; знаешь, как аргументировать свою позицию, и слышишь мнение второй стороны; умеешь анализировать большие объемы информации, сравнивать данные и строить на них свои решения; понимаешь, за какую часть результата ты отвечаешь, и не боишься просить помощи, если это необходимо. Условия официальное оформление по срочному трудовому договору в штат компании; фиксированная часть; корпоративная сотовая связь; полезные курсы и вебинары в корпоративном университете; скидки и предложения от партнеров; развитие в командах профессионалов, которые готовы делиться опытом; волонтерское движение, поддержку хобби и интересов сотрудников.

Задачи: стажировка в отделе SMM онлайн-медиа BURO.

• Разрабатывать сайты, лендинги и веб-приложения с помощью AI-инструментов. • Работать с Cursor, Claude Code и другими инструментами для AI-разработки.

* Проводить ручное тестирование электронной тендерной площадки и связанных с ней веб-приложений.

Требования: знание английского, высокая академическая успеваемость.

Location: Москва Workplace: В офисе О компании МТС Банк 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 Решать пользовательские инциденты Обеспечивать бесперебойную работу внутренних порталов банка Взаимодействовать с профессиональными пользователями по вопросам возникающих проблем Коммуницировать с подрядчиками Координировать работу со смежными подразделениями и командами поддержки Разрабатывать пользовательские инструкции Выполнять поручения руководства: аналитика, поиск и сбор информации. Участвовать в тестировании нового функционала Требования Грамотная устная и письменная коммуникация Логическое мышление Быть опытным пользователем ПК Базовые навыки работы в MS Office Инициативность и проактивность Желание изучать новое и развиваться Будет плюсом: Навыки работы c ITSM услугами или ServiceDesk Навыки эникейщика Навыки администрирования Microsoft SharePoint 2019 Навыки работы в ActiveDirectory Навыки работы в 1С Навыки работы в каком-либо ЭДО Навыки работы в системах Atlassian (Jira, Confluence и т.д.) Знание сетевых ошибок, кодов ответа Условия Стажерский трек рассчитан на 6 месяцев по срочному трудовому договору под руководством опытного наставника Формат работы: офис/гибрид (м.Технопарк)

ORFeus набирает исследователей на полностью финансируемую PhD-программу по изучению тёмного протеома. — Для кандидатов любого гражданства без PhD: к началу программы нужна магистерская степень или эквивалент, дающий доступ к докторантуре.

Стажировка для иностранных студентов, желающих поработать в сфере менеджмента артистов и музыкальной индустрии. Требования: знание английского, высокая академическая успеваемость.

Зимняя школа Центра исламского законодательства и этики (CILE) совместно с Международной ассоциацией исламской биоэтики (IIBA) посвящена репродуктивной этике, родству и формированию семьи в современных мусульманских обществах.