Вакансии

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

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

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

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

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

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

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

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are looking for a talented and driven individual to be a key part of our Analytics Engineering team within the Data Science organization. We are looking for someone who can work closely with Data Scientists and Engineers across diverse areas of the organization (Consumer, Ads, and Marketing) to curate, develop, and deploy the right data and analytic tooling to drive Reddit’s product forward and provide a data and tooling foundation that will last decades. Your work will empower thousands of your colleagues to improve the user experience and grow our consumer base. Successful candidates have a strong track record of understanding and deeply caring about the purpose of data to support business goals, and can act as an effective conduit between Data Producers and Data Consumers. This role sits at the intersection of Data Science and Data Engineering, and the ideal candidate has skills, experience, and passion in both areas. Responsibilities: Be a key contributor and collaborator to the success of data quality, performance, reliability, and automation initiatives. Manage a portfolio of data products that deliver high-quality, trustworthy data Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines. Develop and implement data quality checks, conduct QA and implement monitoring routines Create and manage new data integrations across internal and external systems Create tools and applications for internal use that streamline data analysis and reporting. Drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability. Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit. Qualifications: Bachelor's degree in computer science or a quant educational field 3+ years of experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable code and systems (Python preferred) in a production environment. Strong programming proficiency in Python, SQL, Spark, Scala, etc. Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data. Experience with data workflows (such as Airflow), data modeling, front-end or back-end engineering. Experience in data analysis and dashboard design. Deep understanding of technical and functional designs for relational and MPP Databases. Proven track record of cross-functional execution and collaboration. Agentic AI-assisted development experience. Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company, of differing levels of technical acumen. Self-starter, ability to work independently and autonomously, as well as part of a team. Check out our r/RedditEng post to learn more about the team, and what we do: https://www.reddit.com/r/RedditEng/comments/1mnmf71/analytics_engineering_reddit/ Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $164,200 — $229,990 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: San Francisco ABOUT THE ROLE You’ll be the operational, detail-first finance partner embedded in REW doing the deep-dive transactional and analytical work that the team needs to run cleanly. Reporting directly to the REW Finance Manager (Talia Young), you will own PO QA and lifecycle operations, accruals and month-end support, GL drill-throughs for Budget vs Actuals (BvA) commentary, and vendor spend visualizations. You’ll partner closely with Leasing, Workplace Ops, Design & Construction, Workplace Experience, Sourcing, and P2P — and you’ll be expected to roll up your sleeves and deliver high-quality, defensible analysis and clean data. CORE RESPONSIBILITIES - PO lifecycle & ZIP power-user: Validate chart of accounts, budget availability, REW PO line descriptions, start/end dates; help manage REW POs through the PO creation/change order process in ZIP. - Accruals & month-end: Assist with month end close; Identify POs that require accruals, collect/validate accrual inputs from owners, prepare accrual backup, input/maintain accrual details in the stratfin file, and reconcile reversals when invoices arrive. - GL drill-through & BvA commentary: Perform transaction-level GL investigations to find root causes of variances, compile support, and prepare concise, stakeholder-ready variance narratives. - Vendor invoice & spend visualization: Build and maintain vendor-level dashboards and quick visualizations showing spend trends, aged liabilities, and problem areas. - Data management & actualize files: Maintain and “actualize” REW files (budget skeletons, accrual trackers, PO registers), ensure data hygiene and version control. - Budget and forecast cycle support: Enhance budget and forecast templates and automate where possible. Collect and review submissions in detail. - Technology & automation: Bring a technology-first mindset — prototype small automation/AI agent solutions to reduce manual work (e.g., PO QA checks, GL reconciliation assistants). - Partnering & follow-up: Recurring operational check-ins with stakeholders as it relates to budget/forecast updates and ensuring operations running smoothly from a financial perspective.   MUST-HAVE QUALIFICATIONS - Bachelor’s degree in Accounting, Finance, or equivalent experience. - 4-6+ years relevant experience in FP&A/ corporate finance / finance operations - Practical, hands-on accruals experience (monthly accruals, prepayments, reversals). - Demonstrated experience with PO lifecycle and PO system operations - Strong experience performing GL drill-throughs and tracing transactions to source documentation. - Advanced Google Sheets / Excel modeling skills - Excellent attention to detail and the ability to produce defensible, audit-ready work. - Strong partnership and communication skills — able to extract needed information from stakeholders and drive action. NICE-TO-HAVE - Experience with NetSuite, Workday, Oracle, or other ERPs. - Dashboarding experience (Tableau) - Prior exposure to real estate, construction, workplace operations, or global food/amenities spend. - Demonstrated experience prototyping small automations or AI agents to accelerate work. SOFT SKILLS / COMPETENCIES - Extremely detail-oriented and process disciplined. - Independent problem solver who can escalate appropriately. - Strong prioritization and time management under competing deadlines. - Curious and technology-forward — comfortable testing small automation/agent ideas. - Partnership-first: builds rapport quickly and communicates clearly with non-finance stakeholders.

Задачи: — управление соответствием AML (Anti-Money Laundering) — проведение комплексной проверки клиентов (customer due diligence) — мониторинг транзакций — подготовка регуляторной отчетности Требования и условия в тексте не указаны.

Location: Ludowici, Georgia; Hinesville, Georgia Workplace: OnSite Board Certified Behavior Analyst (BCBA) – Ludowici, Georgia Company: Fox & Fern Behavioral Solutions, a Finni Health company Job Type: Part-Time & Full-Time options available Schedule: Monday through Friday, 9 am–5 pm with flexibility Location: In-person - Jesup, Ludowici, Hinesville, and Midway, Georgia (In-home) Pay: $70.00- $75.00 per hour   Are you passionate about helping individuals reach their full potential and making a meaningful impact? We are seeking a dedicated and compassionate Board Certified Behavior Analyst (BCBA) to join our growing team!   WHAT YOU’LL DO As a BCBA, you’ll play a vital role in delivering compassionate, evidence-based behavioral health services. Your responsibilities will include:   - Conducting assessments and diagnostic evaluations for children with autism and developmental disabilities - Developing and implementing individualized behavior intervention and treatment plans - Providing one-on-one therapy and family support - Supervising and mentoring BTs/RBTs to ensure consistent, high-quality care - Collaborating with interdisciplinary teams to create well-rounded care solutions - Maintaining accurate and confidential documentation (HIPAA-compliant) - Staying current with research and best practices in behavioral health   WHAT YOU BRING We’re looking for team members who are not only qualified but genuinely care.   - BCBA Certification - Master’s Degree in Applied Behavior Analysis or a related field - Experience working with children and individuals with autism or developmental disabilities - Strong clinical and interpersonal communication skills - Empathy, patience, and a commitment to client-centered care - Reliable transportation - Active CPR Certification (we'll help you obtain certification if needed) - Ability to pass a background check (required by funding sources) - Willingness and physical ability to work directly with children (e.g., lift up to 50 lbs, kneel, sit on the floor, etc.)   WHY JOIN US? We believe that when our team members thrive, our clients do too. Here’s how we support your growth and well-being:   - Competitive Pay: $70.00- $75.00 per hour - Career Growth: Performance-based raises, mentorship, and leadership opportunities - Ongoing Training: Access to CEUs and fieldwork supervision - Supportive Leadership: We prioritize clinician well-being and ethical, value-driven care   APPLY NOW! Ready to bring your clinical skills, creativity, and compassion to a team that values your growth? We’d love to meet you!   ➡️ Submit your application and let’s discuss how you can be part of something meaningful.   To protect our clients and their families, this position requires a background check. Successful candidates will receive a conditional offer of employment, with final confirmation to start pending satisfactory screening results. #FinniHealthBCBA

Location: New York City, New York, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily (Acquired by Nebius) In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent, but informed. The role We're looking for a Business Analyst to partner closely with our Finance and Sales teams and turn data into decisions. You'll be the owner of the company's most important metrics: revenue (ARR/MRR), bookings, pipeline, conversion, net revenue retention, gross margin and more. Beyond reporting the numbers, you'll uncover the drivers behind them, build the analyses that shape planning and go-to-market strategy, and help leadership answer the critical questions: This is a high-ownership, hands-on role for someone who is as comfortable in a board-deck conversation as in a SQL editor, and who ships analysis that changes what the business does next. Your responsibilities will include: Own the company's core business metrics end-to-end: define them, build the single source of truth, and make sure Finance, Sales, and leadership are all looking at the same numbers. Partner with Finance on revenue recognition, forecasting, budgeting, and board/investor reporting; turn usage and billing data into reliable financial views. Partner with Sales on pipeline health, funnel conversion, win/loss, sales cycle, quota attainment, territory and segment performance, and compensation analytics. Proactively monitor key business metrics, investigate trends and anomalies, and surface actionable insights to stakeholders before they ask. Build and maintain revenue and pipeline models that connect product usage and billing data. Write production-quality SQL and Python to model data, automate recurring reporting, and run analyses at scale. Translate findings into clear recommendations and drive alignment across Finance, Sales, and leadership. Support strategic initiatives: pricing and packaging changes, segment strategy, capacity planning, and go-to-market experiments, with before/after impact measurement. We expect you to have: 5+ years of experience as an Analyst, of which 2+ years of experience as a Business Analyst, FP&A analyst, Revenue/Sales Operations analyst, or equivalent. 2+ years working in a SaaS company; you understand ARR, bookings, NRR, CAC, payback, pipeline coverage, and the metrics that drive a SaaS business. Hands-on experience supporting Finance and/or Sales teams, with a track record of owning metric definitions that the company relies on. Strong SQL and comfort working with large, messy datasets across different sources. Hands-on experience using Python for data analysis and data modeling in a production environment. BSc in Economics / Finance / Statistics / Math / Industrial Engineering or equivalent. Familiarity with modern data tooling (Snowflake/BigQuery, dbt, BI tools like Omni/Looker/Tableau). It will be an added bonus if you have: Experience at an API-first, developer-focused, usage-based, or PLG (product-led growth) company. Experience with usage-based billing and revenue recognition (Stripe, Metronome, NetSuite). Experience with CRM analytics (HubSpot, Salesforce) and sales compensation / quota design. Statistical foundation for experimentation and causal inference. Experience with Airflow or similar orchestration tools. MBA or MSc in a quantitative field. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,000 — $224,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — management reporting: P&L, plan/fact, variance analysis; — бюджетирование и forecasting; — финансовое моделирование, cash flow и profitability; — анализ revenue / costs / KPI / unit economics; — консолидация данных по юрлицам, продуктам и направлениям; — разработка правил аллокации; — автоматизация сбора и обработки финансовых данных; — участие в развитии финансовых систем и ERP; — работа на стыке Finance и Treasury; — подготовка аналитики для COO, CEO и акционеров. Требования: — 5+ лет в FP&A / management reporting / financial control; — опыт в fintech / financial services; — опыт работы с несколькими юрлицами; — сильная бухгалтерская база: понимание trial balance, posting logic и financial reporting; — сильное финансовое моделирование; — Excel — advanced; — SQL, Power BI / BI-инструменты — желательно; — опыт работы с ERP (1С, Dynamics 365 Business Central или аналог); — английский — профессиональный, русский — желательно; — системность, самостоятельность и сильные аналитические навыки. Будет плюсом: digital assets, IFRS, регулируемая среда, ACCA / CIMA / CFA. Условия: — оплату в: EUR/ USD/ криптовалюта; — годовой бонус; — возможность работать в международной среде; — влияние на финансовую систему компании. Важно: Рассматриваются кандидаты, которые легально находятся/могут работать на Кипре: действующий work permit, Change of Employer или другое основание. Полностью удалённый формат из другой страны не рассматривается.

Задачи: — расследование, предотвращение и снижение мошеннической финансовой активности. Требования и условия работы в тексте не указаны.

Location: Sofia About us The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT. Our commitment to diversity, equity and inclusion We believe everyone should have a fair opportunity to contribute, succeed, and reach their full potential. That means ensuring everyone is heard, respected, and valued, while identifying and removing barriers that may get in the way. Our commitment is to be an employer role model, grounded in inclusion and fairness for all.We want every application to receive fair and thoughtful consideration; therefore, all applications are reviewed by a member of our recruitment team, not by AI. The role The Analytics Engineer is responsible for bridging the gap between data engineering and data analytics by maintaining and developing scalable data models and solutions that support finance, B2B, and B2C teams. The role plays a key part in delivering value through modern data stack technologies (including dbt), supporting cloud migration efforts, ensuring data quality, and maintaining the performance of analytical data pipelines. Key responsibilities Collaborate with stakeholders across departments to design and implement robust data models and BI solutions. Build, test, and maintain data transformations using dbt (data build tool). Implement software engineering best practices for data, including version control, CI/CD, and automated testing. Deliver day-to-day support and project-related tasks for the data and BI infrastructure. Develop and maintain scalable, maintainable, and well-documented data pipelines. Identify and resolve issues across ETL/ELT processes and data pipelines. Required skills and experience Essential 3+ years of experience in Analytics Engineering, BI, or Data Engineering roles. Strong proficiency in SQL, including complex queries and performance tuning. Hands-on experience with dbt for data transformation and modeling. Understanding of data migration to cloud platforms such as AWS (Redshift) or GCP (BigQuery). Familiarity with database design, version control (e.g. Git/GitHub), and CI/CD practices. Experience with ETL/ELT tools (e.g. Airflow,DBT). Personal skills Strong analytical thinking and problem-solving abilities. Effective communication skills and ability to collaborate across teams. Attention to detail and focus on continuous improvement and data quality. Adaptability to fast-paced environments. Often used technology stacks and tools Databases & Data Warehouses: AWS Redshift, BigQuery, MS SQL Server. Data Transformation: dbt (data build tool). ETL & Data Processing: Airflow. BI & Data Visualization Tools: Looker. Programming & Scripting: SQL, Python. Version Control & DevOps: GitHub, CI/CD pipelines. Cloud Platforms: AWS, GCP. What’s in it for you? Our benefits Annual bonus scheme 25 days paid leave 24/7 Employee Assistance Program Life Insurance Enhanced Parental Leave policy Food Allowance Multisport Card Both in house and external training programs Your own training dedicated budget (for conferences, courses etc.) We currently operate a hybrid model which requires staff to work onsite 50% of the time, subject to role requirements & regular review. While flexible working requests will be considered, not all patterns are suitable for all roles. We believe this balanced approach supports flexibility and protects our culture, making collaboration and communication easier, building stronger relationships and team cohesion, and supporting peer learning.  We reserve discretion on reasonable notice to change this approach either generally or for specific individuals or teams. Accessibility We are a disability confident employer and Valuable 500 signatory. Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email talent@ft.com and a member of our team will be happy to help. Further information At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com. Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT. #LI-MG1

Задачи: — Выполнять комплексные оценки конфиденциальности для новых продуктов и функций, синтезировать результаты и обеспечивать устранение проблем совместно с юридическим, продуктовыми и инженерными командами. — Проводить сопоставление нормативных требований (GDPR, CCPA, PIPEDA, ePrivacy) с общими контрольными механизмами конфиденциальности и выявлять необходимость обновления контролей. — Отслеживать требования и вопросы конфиденциальности на протяжении жизненного цикла продукта, управлять эскалациями и обеспечивать своевременное решение с владельцами бизнеса. — Сотрудничать с продуктовыми и инженерными командами, внедряя принципы конфиденциальности по дизайну для onchain и web3 продуктов. — Определять и внедрять автоматизацию и улучшения процессов с использованием AI для оптимизации оценок конфиденциальности и управления вопросами. Требования: — Опыт не менее 3 лет в управлении технологическими рисками с фокусом на конфиденциальность или безопасность, включая практический опыт проведения оценок конфиденциальности (DPIA/PIA, анализ потоков данных или эквивалент). — Умение сопоставлять нормативные требования (GDPR, CCPA, PIPEDA, ePrivacy) с операционными контролями и проверять усилия по устранению нарушений. — Способность переводить юридические рекомендации по конфиденциальности и спецификации продуктов в функциональные требования и планы устранения. — Опыт управления большим количеством одновременных оценок с балансировкой стратегических приоритетов и эскалаций для технической и нетехнической аудитории. — Знание или готовность быстро освоить применение принципов конфиденциальности к blockchain, onchain и web3 продуктам. — Ответственное использование генеративного AI с сохранением человеческого контроля для повышения эффективности рабочих процессов, снижения затрат и улучшения качества. Условия: — Удалённая работа с обязательными квартальными очными сессиями (surges). — Годовой базовый оклад от $135,320 до $159,200 USD, возможны акции, бонусы и социальные гарантии (медицинская страховка, стоматология, зрение, 401(k)). — Кандидаты могут подавать не более 3 заявок за 6 месяцев. — Равные возможности для всех кандидатов без дискриминации. — Поддержка для лиц с ограниченными возможностями по запросу. Контакт для запроса специальных условий: accommodations[at]coinbase.com.

Location: Indianola, Iowa Workplace: OnSite Clinic-Based Board Certified Behavior Analyst (BCBA) Company: Jaybird ABA, a Finni Health company Job Type: Part-time 3:30 PM-6:30PM (some days hour opportunities too!) Location: In-Clinic, In-Home, and In-School Indianola, IA Pay: $70-$90/hr Are you passionate about helping individuals reach their full potential and ready to make a meaningful impact? We are seeking a dedicated and compassionate Board Certified Behavior Analyst to join our growing team! We’re looking for an experienced clinician to lead our evening programming, focused on providing targeted support to school-aged learners. This program will work with children who may need additional support with emotional regulation, social skills, communication, and other skills that help them be successful at school, at home, and in the community. The ideal candidate will have experience working with school-aged learners and feel comfortable developing individualized programming, supporting staff, collaborating with families and schools, and addressing more complex behavioral and social-emotional needs.   WHAT YOU’LL DO As a BCBA on our team, you’ll play a vital role in delivering compassionate, evidence-based behavioral health services. Your responsibilities will include: - Conducting assessments and diagnostic evaluations for children with autism and developmental disabilities - Developing and implementing individualized behavior intervention and treatment plans - Providing one-on-one therapy and family support - Supervising and mentoring BTs/RBTs to ensure consistent, high-quality care - Collaborating with interdisciplinary teams to create well-rounded care solutions - Maintaining accurate and confidential documentation (HIPAA-compliant) - Staying informed on current research and best practices in behavioral health WHAT YOU BRING We’re looking for team members who are not only qualified but genuinely care. - BCBA Certification - Master’s Degree in Applied Behavior Analysis or a related field - Looking for someone experienced to run our evening programming that will be focused on more focused treatment for school aged learners who may need support with emotional regulation, social skills and other areas to support them in school at home and in the community. - Experience working with children and individuals with autism or developmental disabilities - Strong clinical and interpersonal communication skills - Empathy, patience, and a commitment to client-centered care - Reliable transportation - Active CPR Certification (we'll help you get certified if needed) - Ability to pass a background check (required by funding sources) - Willingness and physical ability to work directly with children (lift up to 50 lbs, kneel, sit on the floor, etc.)   WHY JOIN US? We know that when our team members thrive, our clients do too. Here’s how we support your growth and well-being: - Competitive Pay: $70-$90/hr, depending on experience - Health, Dental, and Vision Insurance (Full-Time) - Career Growth: Performance-based raises, mentorship, and leadership opportunities - Ongoing Training: Access to CEUs and fieldwork supervision - Supportive Leadership: We prioritize clinician well-being and value-driven, ethical care APPLY NOW! Ready to bring your clinical skills, creativity, and compassion to a team that values your growth? We’d love to meet you! ➡️ Submit your application and let’s talk about how you can be part of something meaningful. To protect our clients and their families, this position requires a background check. Successful candidates will receive a conditional offer of employment, with a final confirmation to start pending the satisfactory results of the screening.   #FinniHealthBCBA

Location: Tbilisi, Georgia Workplace: fully About InvestEngine InvestEngine is a UK investment platform that makes it simple and low-cost for people to build long-term wealth with ETFs, through ISAs, pensions and general investment accounts. As our client base grows, our Operations team in Georgia plays a key role in making sure every client is onboarded and monitored safely and to a high standard. About the role You'll join our first-line Financial Crime Operations team, reporting to the Financial Crime Operations Manager. You'll make sure new clients — individuals and businesses — are onboarded accurately, quickly and in line with regulation, and that client activity is monitored so anything suspicious is investigated and escalated properly. This is a high-volume, detail-sensitive role with clear SLAs. You'll work closely with Compliance, Operations and Customer Experience. What you'll do Complete transaction monitoring and enhanced due diligence (EDD) reviews, investigating unusual activity and escalating suspicions correctly Meet our turnaround targets — most applications and monitoring cases within 24 hours — while keeping accuracy at 98% or above Keep internal registers and client records accurate and up to date Work with Compliance, Operations and Customer Experience to resolve escalations within SLA Spot inefficiencies and suggest practical improvements to our processes The team also Reviews and process new client applications for individuals and businesses, including identity, address, bank account and company checks Carries out PEP and sanctions screening at onboarding and as part of ongoing monitoring What you'll bring Experience in a detail-focused, high-volume operations role — ideally onboarding, KYC/AML, compliance operations or similar in financial services Excellent attention to detail: you catch errors in documents and data and double-check before you submit Strong time management: you handle large volumes without missing deadlines Clear, professional written and spoken English Good risk awareness — you know when something doesn't look right and you flag it A proactive, collaborative way of working: you take ownership instead of waiting for direction Nice to have: knowledge of KYC/AML, and experience with PEP and sanctions screening. Our hiring process Short online cognitive assessment TA interview (30 minutes) Interview with the hiring team (45–60 minutes), including a short practical task Final interview How we work We care about putting customers first, acting like owners and speaking up openly. If that sounds like you, we'd love to hear from you.