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Задачи: — проведение физико-химических испытаний сырья в соответствии с требованиями нормативной документации (USP, Ep. Bp, ГФ); — оформление лабораторных журналов; — проведение калибровки оборудования; — проведение химических и физико-химических исследований промежуточной и готовой продукции лекарственных препаратов согласно нормативной документации; — анализ и систематизация полученных результатов; — подготовка оборудования, реактивов и лабораторной посуды; — участие в валидации аналитических методик. Требования: — высшее или среднее специальное химическое образование; — умение работать в команде; — знание физико-химических методов анализа; — уверенный пользователь ПК; — аккуратность, внимательность, обучаемость. Условия: — оформление в соответствии с Трудовым кодексом РФ; — график работы 5/2 с 8:00 до 16:30.

Задачи: — Разработка и валидация аналитических методов контроля лекарственных препаратов с использованием ВЭЖХ (ПФ, ОФ, ИХ), ГХ (ПИД, МС), потенциометрического титрования, титрования по Фишеру; — Проведение физико-химического анализа полупродуктов и готовой продукции; — Составление и своевременное заполнение рабочей документации; — Работа с нормативной документацией ГФ РФ, ЕАЭС, USP, EP; — Обслуживание приборов, замена расходных материалов, составление заявок на приобретение расходных материалов и реактивов. Требования: — Высшее образование в области химии или химико-технологическое; — Опыт работы в аналитической химии не менее 3 лет; — Знание спектральных методов анализа, титрования, ВЭЖХ, ГХ (желательно); — Навыки работы с весами 5-го знака и прекурсорами; — Уверенное владение ПК; — Аккуратность, внимательность, исполнительность; — Знание английского языка для чтения технической документации. Условия: — Место работы: м. Текстильщики (Технополис Москва); — График работы: 5/2 с 09:00 до 18:00; — Официальное оформление согласно ТК РФ; — Годовые премии по результатам работы; — ДМС после прохождения испытательного срока (3 месяца).

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a member of the marketing analytics team, you'll help build the data infrastructure and analytical capabilities needed to drive smarter lifecycle marketing decisions and business impact at OnePay. You'll focus on establishing the measurement and attribution frameworks needed to understand how lifecycle marketing impacts customer behavior, product engagement, and business outcomes. You'll work through an evolving data landscape, connecting customer interactions across marketing and product to uncover insights and identify opportunities to optimize LCM. You'll partner closely with marketing, product, engineering, and data teams to translate data into actionable recommendations and help shape how OnePay measures and optimizes its marketing efforts. In this role, you will: - Analyze LCM performance, identify opportunities to optimize individual campaigns and the broader customer journey, and translate findings into actionable insights that drive business impact. - Develop the data infrastructure, measurement frameworks, and attribution methodologies needed to understand the impact of lifecycle marketing across campaigns, channels, and product interactions. - Partner cross-functionally with marketing, product, engineering, and data teams to improve measurement capabilities, connect marketing activity to product outcomes, and inform broader business and marketing strategies. - Leverage AI-powered tools and techniques to accelerate analysis, develop and validate predictive insights, and push the boundaries of what’s possible in marketing analytics. - Share insights and recommendations to senior leadership and stakeholders to influence the direction of the business YOU BRING - 3-7 years of professional experience in marketing analytics with experience with lifecycle as a plus. - Demonstrated track record in marketing analytics, including hands-on experience with attribution models, measurement frameworks, A/B testing, and campaign optimization. - Advanced SQL and AI skills, with the ability to independently pull and analyze complex datasets. - Strong analytical thinking and problem-solving skills — you can go from ambiguous questions to clear insights. - Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’. - An act-like-an-owner mentality. We have a bias toward taking action. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: United States; San Francisco; Canada; New York; Ottawa; Toronto; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most driven, and most curious people to help us do it. As the founding lead of Agentic Analytics, a new team in our Analytics and Data Insights organization, you'll own how Cohere gets answers from its own data: an agentic analytics system that answers business questions over governed data, shows the source, query, and freshness behind every answer, and asks for clarification or declines when the evidence is insufficient. Agentic analytics is far from a solved problem, and correctness is the hard part. A query that runs can still answer the wrong question. Agents go wrong when a business term maps to more than one table, when data goes stale, and when the right context never reaches the model. The worst failures are silent and plausible: a join that double-counts, a wrong denominator, missing data read as zero. Getting this right takes governed definitions, context an agent can use, and an evaluation bar that decides what ships. You'll build on work already in motion: an internal analytics agent in pilot on our BigQuery warehouse, which is fed by tested ingestion pipelines and modeled in dbt. In your first year, you'll take it to production for teams across Cohere, one domain at a time, and make it replicable: each new domain stands up with configuration, a fresh evaluation set, and very little new code. This is a hands-on staff engineering role reporting to our Senior Director of Data Analytics. You'll write production code and evaluation sets yourself while managing a small founding team that grows as the system proves itself. You may have held the title software engineer, AI engineer, or data scientist; what matters is that you've built a system like this and run it in production. RESPONSIBILITIES As the lead of Agentic Analytics, you will: - Own the system end to end. Set the architecture for how a business question becomes a governed query and a verifiable answer: interpreting the question, retrieving the right context, applying approved definitions and joins, enforcing the asking user's permissions, and attaching the evidence (source, query, freshness) to every answer. - Build and run it in production. Design the core services and write much of the first version yourself: agent-facing data tools (MCP or equivalent), context retrieval, agent skills for analytics, and the APIs that serve answers. Hold them to production standards for reliability, latency, cost, security, and observability. Put it where people already work: Slack, North, IDEs, and other agents. - Hold every release to the evaluation bar. Build and run the evaluation harness, and define what correct means in each domain: ground-truth question sets, including held-out cases and questions the agent should clarify or decline; result-level scoring, correct-or-decline rates, coverage, and error severity; and regression tests on every change to context, skills, or models. Nothing ships below the bar, and the call on when a domain is ready for production is yours. - Engineer the context layer. Turn metric definitions, approved joins, documentation generated from the code that builds each table, a business glossary, and worked examples into context the agent can use. Every correction becomes a reviewed definition and a regression test. - Roll it out across Cohere. Bring domains such as marketing, revenue, finance, and product onto the system one at a time, each with named owners, certified definitions, and its own evaluation set. Measure adoption, accuracy, turnaround, and correction effort against how those teams work today. - Make it replicable. Package the tools, skills, context templates, and evaluations, and document them well enough that other teams at Cohere can run the system without you. - Hire and lead the team. Bring on the team's first engineers, set the technical bar, review the work, and develop the people doing it. - Partner across Cohere. Work with our data platform team on the warehouse and semantic models, our model evaluation team on evaluation methodology, our security team on access, and each domain's owners on definitions and rollout. QUALIFICATIONS You may be a good fit, if you have: - 10+ years building and operating production analytics or software systems, including technical leadership of a team or of systems that span teams - Experience shipping LLM agents to production: tool use, MCP or similar, retrieval and context engineering, guardrails, and observability, with firm opinions on where they fail - Hands-on experience building natural-language or agentic analytics (text-to-SQL, analytics agents, question answering over a semantic layer) that real users relied on, and evidence that it was right - Depth in evaluating LLM systems: golden sets, result-level comparison, abstention metrics, error taxonomies, and regression testing in CI, plus the judgment to tell a good demo from a system you'd put in front of a CFO - Strong Python and SQL, and experience designing and running production services and APIs on a major cloud (Google Cloud is a plus) - Fluency with data: cloud warehouses (BigQuery, Snowflake, or similar), dbt, and semantic layers (MetricFlow, LookML, Cube, or similar). You think in grain, metric definitions, and approved joins, and you can tell when a number is wrong before it reaches a decision - Experience building identity-aware access for agents, where the agent acts with the asking user's permissions and every query leaves an audit trail - Experience hiring and developing engineers, with a leadership style grounded in empathy as much as in data - Genuine excitement about AI: you follow the research, have opinions, and enjoy being in the weeds - Comfort operating in ambiguity, leading through partners you don't manage, and writing design docs and eval reports that settle decisions across teams If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Location: Remote (100%) with preference for Mountain or Pacific time zone Contract Duration: 3 months, with possible extension Hours: 20-30 hours per week _______________________________________________________________________ ABOUT THE ROLE Docker is looking for a Sales Compensation Analyst to join our Finance team on a contract basis and support the administrative backbone of our sales compensation program. This is a writing-heavy, detail-oriented role. You'll draft and maintain participation agreements, create clear documentation, and manage SPIFF programs in our compensation system. If you can turn complex comp plan language into clear, accurate, plain-English documents, and you enjoy the operational side of sales comp, this role is for you. _______________________________________________________________________ WHAT YOU'LL DO PARTICIPATION AGREEMENTS - Draft, edit, and finalize sales compensation participation agreements and plan documents - Make sure plan terms, quotas, payout mechanics, and eligibility language are accurate and consistent - Manage agreement distribution, tracking, and signature follow-up - Partner with Legal, HR, and Sales leadership to review and approve language DOCUMENTATION - Write and maintain comp plan documentation, process guides, and policy FAQs - Create step-by-step procedures for recurring comp admin tasks - Keep documentation current as plans, territories, and policies change SPIFF ADMINISTRATION - Set up, configure, and maintain SPIFF programs in the compensation system - Track eligibility, calculate payouts, and validate results against program rules - Answer SPIFF questions from sales reps and managers - Audit program data for accuracy before payouts are finalized GENERAL SALES COMP SUPPORT - Help with commission data validation, reconciliation, and dispute resolution - Support quota, territory, and roster updates in the comp system - Respond to rep inquiries with clarity and professionalism - Support monthly commission calculations across multiple compensation plans using SPIFF and Excel _______________________________________________________________________ WHAT YOU BRING REQUIRED - 1-2 years of sales compensation experience - Strong written communication skills, with a proven ability to write clear, precise, professional documents - High attention to detail and comfort working with plan rules, rates, and payout logic - Proficiency in Excel or Google Sheets - Ability to manage multiple deliverables and deadlines independently in a fully remote environment NICE TO HAVE - Hands-on SPIFF administration experience - Experience working in a sales compensation system (for example Xactly, Varicent, CaptivateIQ, Performio, SAP Commissions, or similar) - Experience drafting or editing participation agreements or comp plan documents - Familiarity with CRM data (Salesforce) and how it feeds comp calculations _______________________________________________________________________ WHAT SUCCESS LOOKS LIKE - Participation agreements go out accurate, on time, and with minimal back-and-forth - Documentation is clear enough that reps and managers can find answers on their own - SPIFFs are set up correctly and paid without errors or disputes

Задачи: разработка, валидация, улучшение и поддержка ключевых маркетинговых моделей прогнозирования (долгосрочный LTV, выручка, retention); построение и сопровождение надёжных time-based валидаций и backtesting-подходов;

• Мониторинг и анализ событий ИБ с использованием SIEM, EDR и иных средств защиты. • Расследование инцидентов ИБ, эскалация инцидентов в соответствии с установленными процедурами.

Location: Berlin Workplace: Hybrid OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. YOUR CHALLENGE As Financial Analyst, Planning & Reporting Systems, you will build and maintain our planning and reporting models and dashboards, make sure data flows correctly from our source systems, and ensure the numbers the business relies on are accurate and consistent. Alongside this, you will support core FP&A work such as forecasting, variance analysis and month-end reporting. The role reports to the Senior Director of FP&A and works closely with FinOps, Data and business stakeholders. YOUR RESPONSIBILITIES - Build and maintain models in our planning platform, including dimensions, hierarchies and mapping tables, in line with the agreed model design - Build product P&Ls and product dashboards, and prepare the monthly reviews with commercial product owners - Monitor data flows from our ERP, HR and other source systems into the planning platform, and resolve issues together with FinOps and Data - Run monthly reconciliations between the planning platform, the general ledger and reported figures, and document the checks - Support the transition of planning and reporting workflows into the planning platform, in close collaboration with the FP&A team - Support FinOps on the interface between planning and consolidation, so management and statutory views reconcile - Maintain access rights, version control and model documentation - Support and train budget owners in using the platform for their planning and reporting - Automate recurring reports and workflows, using AI tools where they remove manual work - Support core FP&A processes when needed: monthly reporting, forecast updates, variance analysis and management materials - Deliver ad-hoc analysis on product performance to support commercial decisions YOUR PROFILE - 3+ years of experience in FP&A, controlling, finance systems or a similar analytical finance role, ideally in a fast-growing or subscription-based business; alternatively, a background as implementation consultant for Pigment, Anaplan or similar planning tools - Hands-on experience building models or reports in a modern planning tool (e.g. Pigment, Anaplan, Adaptive); Pigment experience is highly valued - Solid understanding of financial statements and accounting principles, with hands-on experience in budgeting, forecasting and variance analysis - Strong Excel skills and working knowledge of SQL; experience with ERP, consolidation or BI tools (e.g. NetSuite, LucaNet, Looker) is a plus - High attention to detail and care for data quality: you notice when a number does not tie, and you find out why - Hands-on use of AI in finance work (e.g. LLM assistants, AI features in finance and planning tools), and the curiosity to adopt new tools as they mature - Clear communicator, able to explain numbers to non-finance stakeholders - Structured, independent and pragmatic, with a strong sense of ownership WHY TAXFIX?  - A chance to do meaningful, people-centric work with an international team of passionate professionals. - Holistic well-being with free mental health coaching sessions. - A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. - Employee stock options for all employees—because everyone deserves to benefit from the success they help to create. - 30 annual vacation days and flexible working hours. - A generous learning budget to support your personal and professional development and guidance from our internal L&D experts. - Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. - Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible. - Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions. - Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Check out our Life at Taxfix https://www.linkedin.com/company/taxfix/life/8684512c-424f-44de-8d07-6e6b516e3319/?viewAsMember=true page on LinkedIn to get a glimpse of our culture. At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves. Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.

Location: Milan Build with us Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with products designed to be simple, scalable, and dependable. With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions. We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of. Sound like your kind of place? Let's build together.   Your impact Mollie's Revenue Operations domain gives our commercial organisation the tooling, data and automation to do more with less. As Analytics Engineer I in the Customer Insights team, you'll focus on the analytics and BI side of the products we ship. You'll build the dbt models behind your own dashboards and turn that data into a clear, ongoing read on adoption, usage and impact. You'll be the person who can tell the team and its stakeholders, with data, whether what we shipped is actually working. Your numbers will directly shape which BETs get iterated on, doubled down on or cut. You'll work side by side with Application Engineers on tools that Sales and SDRs use every day, at a fast moving moment with the GoCardless integration about to start.   What you'll ship - Small, regular improvements to existing Customer Insights products, like dbt model fixes, new tests and dashboard fixes, shipped independently. - Adoption, usage and impact tracking for Customer Insights products, such as Account Book adoption, BigMind usage or HubSpot UI card engagement. - That tracking built end to end, from the underlying dbt model through to a dashboard that stakeholders actually check. - Build a standing set of adoption and impact dashboards that the team and its stakeholders use to prioritise what we shipp, and it's analytics and BI deliverables. What you'll bring - 1 to 3 years of experience in SQL and working dbt experience. You're comfortable building and maintaining models and tests, not just querying, because you'll own the models feeding your own dashboards. - Experience with a BI or dashboard tool such as Omni, Looker, Tableau or similar. You know how to display data so it delivers a clear message. - Data visualisation and data storytelling skills. - Experience with GTM, Reveneu Operations or Marketing is a big plus. - Comfort working directly with business stakeholders.   Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below.   AI at Mollie We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day. AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.

• построение и автоматизация P&L по рейсам, судам и флоту в целом. • анализ экономики судов и рейсов, план-факт анализ.

Location: Москва Мы находимся в поиске финансового аналитика с data-экспертизой в Центр оценки комплексного продуктового предложения. Обязанности * Фокус - на unit-экономику, CLTV, анализ и заведение данных по компаниям экосистемы * Разработка методологии расчета PL и PV для CLTV компаний экосистемы * Кросс-функциональное взаимодействие с профильными подразделениями и ДЗО по вопросам поставки / корректировки данных по компаниям экосистемы в контур ПАО, контроль качества данных * Мониторинг расчета CLTV по компаниям экосистемы, проверка наличия аномалий * Дизайн и финансовая оценка запуска и подведения итогов пилотов Требования * Опыт в области корпоративных финансов, финансового анализа, эконометрики и математического анализа - от 3 лет * Высшее образование в области математики, статистики, экономики, информационных технологий или смежной специальности (МГУ/МФТИ/ /МГТУ им. Баумана как преимущество) * Понимание принципов работы с данными (требования, витрины) * Практический опыт разработки и внедрения методик/регламентов в области финансов / продуктовой оценки * Уверенный уровень владения SQL, Python * Навыки проведения экспериментов (A/B тестирования). Важны знания в области статистического анализа и эконометрики: понимание нулевой и альтернативных гипотез, умение интерпретировать p-value и доверительные интервалы, статистические критерии: T-test/KS-тест, расчет размера выборки, дисперсии, уровня значимости, мощности теста, проверка однородности групп при мэтчинге. Условия * Комфортный офис рядом с метро Кутузовская (full-time office) * Ежегодный пересмотр зарплаты и годовая премия * Корпоративный спортзал и зоны отдыха * Уникальная система обучения Сбера для профессионального и карьерного развития * Расширенный ДМС и льготное страхование для семьи * 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

Location: Cardiff, London or Remote (UK); London; Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ Analytics Engineering Manager - Fincrime London/Cardiff/UK Remote | 💰£97,800-£125,000 + Incentive Awards tied to your performance and benefits | Hear from the team ✨ ⭐Our Fincrime Analytics Engineering Team Our Financial Crime Collective helps keep Monzo and our customers safe. We build effective, proportionate controls to protect against financial crime while delivering great customer outcomes. Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - Core, Money, Borrowing, Operations and Financial Crime and beyond. The AE teams are responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building a reliable and scalable Data Warehouse to support decision making in a cost effective and performant manner. Managers within Data have two primary responsibilities; people and technical products. Your focus will be on helping engineers with their personal and professional development, listening and guiding them through hard times and celebrating their successes. You will also be leading and participating directly in technical initiatives and helping Monzo shape its Data organisation, ensuring the team focuses on valuable work, shipping things with a level of care and attention to detail. There will be a strong focus on delivering best practice across our data discipline and helping bring a new level of maturity around Data Governance principles, working in collaboration with others to deliver this. 🔑You’ll play a key role by... Working in a multi-disciplinary team, you will: Be a hands-on leader in building a discipline of exceptional analytics engineers working to make Data at Monzo the gold standard within the industry Nurture between 5 to 6 analytics engineers, supporting, coaching and developing high performing engineers through regular 1:1s, continuous feedback and relationships with others Aid prioritisation of initiatives and projects, working closely with other leads for each of our Monzo collectives Be hands on through participating in the review cycle, architecture and design leadership and development of your own changes to the pipelines Be part of the hiring team within Analytics Engineering Work closely with other leads to deliver a scalable, consistent approach to governance and best practices Drive effective project management of central Analytics Engineering projects, ensuring they’re well scoped and delivered to deadlines Establish yourself as a trusted partner to various collectives and the leadership team, with the capacity for getting things done, be it either hands-on or by leading others We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role 🤩We’d love to hear from you if… You have experience managing or mentoring the performance and development of high-performing engineers. You have strong experience in data warehousing architecture at scale You have experience and a passion for leading data warehousing, data visualisation, big data or ETL projects as an analyst, developer, designer or architect You know what it takes to hire great engineers within the data space You’re equally comfortable working hands on and leading a team Nice To Haves: Any experience working within a finance or banking environment Experience working in a highly regulated environment (e.g. finance, insurance, gaming, food, health care) Experience with any of our stack of dbt, BigQuery and Looker Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything that’s listed just yet. Drop us your application, we’d love to hear from you! 🙌What’s in it for you 💰£97,800-£125,000 + Incentive Awards tied to your performance and benefits ✈️ We’ll help you relocate to the UK. ✅ We can sponsor your visa. 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) ⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 📚£1,000 learning budget each year to use on books, training courses and conferences. 🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits . 🌈 The application journey has 4 key steps Recruiter Screening Call Initial Call Take Home Task Final Loop (3 sessions - case study, collaboration and people  leadership) This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. For more insight into the AE team at Monzo, check out our podcast with John Azzopardi one of our Senior Leaders in AE #LI-AS1 #LI-REMOTE Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Опыт тимлида-от 5 лет, желательно в разных компаниях.

IG Group is looking for a Real Time Analyst to monitor contact-center operations, manage intraday performance and adherence, and report service-level trends.

IG Group is looking for a Corporate Actions Analyst to process corporate actions, manage client communications, reconcile dividends, and improve processes through data analysis.

Location: Москва Ищем владельца продукта для развития разделов «портфель» и «аналитика портфеля» в мобильном приложении «СберИнвестиции». Основные цели – объяснить клиенту в интерфейсе, что происходит с его портфелем в моменте, почему так и что с этим делать дальше. Показывать реальную картину доходности и подсказывать следующие шаги — от регулярных пополнений до ребаланса. Обязанности ### Чем предстоит заниматься: * разрабатывать vision продукта, формировать стратегию его развития и управлять ожиданиями заказчиков (постановка задач, балансировка ресурсов, синхронизация со стейкхолдерами, ведение протоколов, контроль исполнения) * управлять бэклогом продукта, приоритизировать задачи на основе продуктовых метрик и гипотез * анализировать опыт рынка, отзывы клиентов и данные воронок для поиска точек роста * проектировать навигацию и дизайн интерфейсов совместно с командой исследователей и дизайнеров * проверять продуктовые гипотезы с помощью качественных и количественных методов * управлять agile-командами: готовить требования, участвовать в планировании спринтов и демо * обеспечивать стабильность сервиса через оперативный разбор инцидентов и подготовку обучающих материалов для службы поддержки. Требования ### Что для нас важно: * опыт управления digital-продуктом от 5 лет * опыт развития мобильного продукта * опыт управления Agile-командой разработки от 10 человек (дизайн/разработка/аналитика/тестирование) в области мобильных приложений * знание продуктовых метрик * понимание предметной области фондового рынка (биржа, инструменты, торговля) * навыки применения ИИ в профессиональной деятельности (например, Гигачат, Кандинский). Условия ### Что мы предлагаем: * комфортный современный офис рядом с м. Кутузовская * гибридный формат работы * корпоративный спортзал и зоны отдыха * уникальную систему обучения Сбера для профессионального и карьерного развития * программу адаптации и помощь руководителя на старте * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписку Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративную пенсионную программу.

Location: UK_Southampton_Office Verra Mobility is a global smart mobility technology business with a clear purpose: making roads safer and journeys easier. We partner with governments and road authorities to deliver technology that improves road safety, encourages responsible driving and helps protect the communities who use our roads every day. As a Service Desk Analyst , you’ll provide first and second line IT support to our UK Operations team and colleagues across the international business. You’ll have ownership of the issues people bring to the service desk and the opportunity to work alongside our Systems team on incidents affecting the wider IT environment. Office attendance : Initially, you’ll work from our Southampton office two days per fortnight. After the planned move, you’ll work three days per week in the Slough area office and two days from home. You’ll need to be able to commute to both office locations at the relevant stage. What you’ll do Troubleshoot hardware, software, account and connectivity issues, remotely and in person. Prioritise incidents and service requests, track them through to closure and keep users informed. Monitor servers, email, networks and critical services. Assess alerts, document the impact and escalate infrastructure faults to the Systems team for investigation and repair. Set up devices, manage approved access requests and support colleagues joining, changing roles or leaving the business. Maintain IT asset records and support guides and help identify recurring issues and ways to improve the service. What you’ll need At least three years’ experience in service desk, desktop support or a comparable IT role, including first and second line troubleshooting and incident ownership. Experience supporting Windows and Microsoft 365, administering accounts in Active Directory or a similar identity platform, and using a service desk ticketing system. An understanding of common network and infrastructure issues, with the judgement to assess impact, communicate clearly and escalate when needed. A relevant Level 3 IT qualification, a completed IT apprenticeship or equivalent practical experience. Desirable: ITIL Foundation, CompTIA A+, a relevant Microsoft certification, or experience with PowerShell or automation. How to apply Please apply with your CV. Any offer of employment will be subject to satisfactory completion of pre-employment screening and employment verification checks. We welcome applications from people of all backgrounds and assess candidates against the requirements of the role. If you need reasonable adjustments at any stage of the recruitment process, please let us know. Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .

Проведение анализа рынка товаров, работ, услуг. Мониторинг цен на приобретаемые организацией товары, работы, услуги.