Вакансии

Прямо сейчас мы ищем человека, который пересоберет наш клиентский путь с нуля, сломает пару устаревших процессов и докажет, что лучший маркетинг — это счастливый клиент. Перспективы карьерного роста и профессионального развития Чем вы будете заниматься: Исследовать клиентский опыт через интервью, опросы и анализ отзывов;

Роль предполагает анализ рынка и конкурентной среды, исследование бизнес-показателей, подготовку аналитических материалов и стратегических рекомендаций, оценку новых возможностей для роста, а также участие в проектах, направленных на развитие бизнеса и повышение эффективности банка.

опыт работы с Power BI от 3-х лет; опыт работы с SQL & DWH: сложные запросы, оптимизация производительности PostgreSQL/MS SQL;

обработка заявок и запросов клиентов: внесение, изменение и закрытие данных в информационных системах (CRM, платформа учёта); контроль качества данных: сверка, поиск ошибок, дублей и расхождений, выяснение причин и исправление;

— Разработка и согласование бизнес-требований на стадии Разработки. — Разработка технического задания.

• Снимать с фаундера большой пласт операционных задач и самостоятельно доводить их до результата. • Искать и тестировать локальные каналы продвижения: ЖК, районные сообщества, партнерства, офлайн-размещения и другие точки контакта с потенциальными клиентами.

Обязательные требования: — Опыт работы в QlikSense или Insight более 3 лет; — Количество завершенных проектов более 10; — Уверенные навыки взаимодействия с бизнес-заказчиком; — Согласование проектных решений как на техническом, так и на бизнес-уровне; — Высокая мотивация в достижении результатов; — Умение самостоятельно находить решения сложных проблем; — Оценка трудозатрат и стоимости решения; — Опыт проведения и организации нагрузочного тестирования; — Навыки разработки: ETL, data modeling; — Навыки моделирования и написания SQL-процедур; — Навыки по оптимизации производительности скрипта и диаграмм интерфейса; — Навыки Dashboard design, overall UI/UX design в QlikSense. Дополнительные требования: — Сертификация QlikSense; — Знания по администрированию системы QlikSense средствами QMC, QV API, Sense API; — Навыки VBA-программирования; — Опыт написания Extentions и знание JavaScript; — Знания инструментов отчетности Nprinting; — Разработка экстракторов из SAP ERP, SAP BW; — Опыт интеграции QlikSense во внешние среды (websites, SharePoint, etc.).

• Проектировать мат. модели: расчет paytable, RTP, волатильности, вероятностей и распределений выигрышей.

Мониторингом платёжных транзакций, конверсии и проходимости по провайдерам и методам; Выявлением причин падения конверсии, анализом отклонений и проблемных участков платёжного флоу;

Location: Hamburg, Deutschland; Ratingen, Deutschland Blue Projects ist ein Full-Service-Unternehmen für Design, Engineering, Projekt- und Construction Management mit internationaler Erfahrung in der Umsetzung komplexer Greenfield- und Brownfield‑Projekte für globale Blue-Chip‑Kunden in den Bereichen Einzelhandel, Gewerbe und Industrie. Wir arbeiten mit einem flexiblen, kundenorientierten Ansatz und wenden Lean‑Design- sowie Lean‑Construction‑Methoden an, um ein nahtloses Schnittstellenmanagement zwischen den Disziplinen und konstant hohe Qualität sicherzustellen. Mit einer Präsenz in über 53 Ländern und 26 Büros haben unsere Teams mehr als 500 Projekte erfolgreich umgesetzt – mit einem Gesamtwert von über 8 Milliarden Euro – und verbinden dabei Hands‑on‑Mentalität mit einer Kultur, die Sicherheit, bodenständige Zusammenarbeit und das Motto „always deliver & pleasant to work with“ in den Mittelpunkt stellt. Deliver here. Grow here. Rollenübersicht Als Technischer Business Development Lead BESS (m/w/d) übernehmen Sie eine Schlüsselrolle beim Aufbau und der Weiterentwicklung unseres Geschäftsbereichs Battery Energy Storage Systems (BESS) in Deutschland. In dieser Position verbinden Sie technisches Fachwissen mit Business Development und fungieren als zentraler Ansprechpartner für Projektentwickler, Investoren und EPC-Unternehmen. Sie begleiten Projekte der Energiewende bereits in frühen Entwicklungsphasen und unterstützen Kunden bei der technischen und strategischen Bewertung von Standorten, Genehmigungsanforderungen und Infrastrukturthemen. Mit Ihrem Branchenwissen und Ihrem Netzwerk tragen Sie maßgeblich dazu bei, Blue Projects als starken Engineering-Partner im wachsenden Markt für Energiespeichersysteme und erneuerbare Energieinfrastruktur zu etablieren. Qualifikation Abgeschlossenes Studium im Bauingenieurwesen, idealerweise mit Schwerpunkt Erd- und Tiefbau, Geotechnik, Infrastruktur oder Standortentwicklung Fundierte Kenntnisse in den Bereichen Baugrund, Erschließung, Entwässerung, Genehmigungsprozesse und Standortentwicklung Erfahrung im Umfeld von Battery Energy Storage Systems (BESS), erneuerbaren Energien, Energieinfrastruktur oder vergleichbaren Projekten von Vorteil Bestehende Kontakte zu BESS-Projektentwicklern, Investoren, EPC-Unternehmen oder relevanten Marktakteuren sind von großem Vorteil Tragwerks- oder Statikkenntnisse sind willkommen, jedoch keine Voraussetzung Ausgeprägte Kommunikations- und Präsentationsfähigkeiten sowie sicheres Auftreten gegenüber Kunden und Geschäftspartnern Unternehmerisches Denken, Eigeninitiative und eine strukturierte Arbeitsweise Verhandlungssichere Deutschkenntnisse sowie gute Englischkenntnisse in Wort und Schrift Zuständigkeiten Technische Erstberatung und Unterstützung bei Angebots- und Geschäftsentwicklungsaktivitäten für BESS-Projektentwickler, Investoren und EPC-Unternehmen Bewertung potenzieller Projektstandorte hinsichtlich Standorteignung, Bebaubarkeit, Baugrund, Erschließung und Genehmigungsfähigkeit Beratung zu Infrastruktur-, Erschließungs- und Genehmigungsthemen einschließlich Netzanbindung Aufbau, Entwicklung und Pflege langfristiger Kundenbeziehungen innerhalb des deutschen BESS-Marktes Positionierung von Blue Projects als verlässlicher technischer Partner für BESS- und Energieinfrastrukturprojekte Steuerung der Schnittstelle zwischen Vertrieb, externen Stakeholdern und internen Fachdisziplinen Unterstützung von Frühphasenmandaten in den Bereichen Permitting, Erschließung, Entwässerung, Netzanbindung, Brandschutzkoordination, TA Lärm und Architektur Erstellung technischer Präsentationen, Angebotsunterlagen und Kundenworkshops Zusätzliche Informationen Karriereentwicklung & Wohlbefinden Bei Blue Projects arbeiten Sie in einem offenen, kommunikativen Team mit Zugang zu Online-Lernplattformen, psychologischer Beratung, Well-Being-Services und einem Employee Assistance Program. Benefits (länderspezifisch) Zugang zu Sport- und Erholungsangeboten, leistungsabhängiger Jahresbonus sowie technische Ausstattung wie Laptop und Mobiltelefon. Globale Mobilität Möglichkeiten für internationale Einsätze gemäß unserer Global Mobility Policy mit klaren, fairen und standardisierten Bedingungen für kurz- und langfristige Entsendungen. Unsere Unternehmenskultur Wir legen Wert auf Sicherheit, Integrität, Flexibilität und eine partnerschaftliche Zusammenarbeit mit unseren Kunden, geprägt von Ownership, Bodenständigkeit und einem High-Performance-Mindset. Inklusion & Chancengleichheit Blue Projects verpflichtet sich zu Inklusion, Würde und Respekt mit Nulltoleranz gegenüber Mobbing, Belästigung oder Diskriminierung. Wir stellen unparteiische Unterstützungsmechanismen und klare Verfahren für ein respektvolles Arbeitsumfeld bereit. DSGVO & Vertraulichkeit Mit Ihrer Bewerbung stimmen Sie der Nutzung Ihrer personenbezogenen Daten ausschließlich zu Rekrutierungszwecken gemäß unseren DSGVO-Richtlinien zu. Der Zugriff ist auf autorisierte Mitarbeiter beschränkt. Ihre Daten werden vertraulich behandelt. Über Blue Projects Blue Projects wurde 2007 in Rumänien gegründet und vereint erfahrene Ingenieure, Architekten und Projektmanager mit nachweislicher Erfahrung in der Umsetzung komplexer, schnell realisierbarer Projekte weltweit. Unsere Markenidentität ist dynamisch, kundenorientiert und darauf ausgerichtet, einen bedeutungsvollen und nachhaltigen Eindruck zu hinterlassen, gestützt durch konsistente Standards und klare Markenführung. Bewerbung Bitte senden Sie uns Ihren Lebenslauf zu. Ausgewählte Kandidatinnen und Kandidaten werden für die nächsten Schritte kontaktiert.

— Координация управленческой отчётности и аналитических презентаций для руководства банка. — Высшее экономическое или финансовое образование.

Location: Jakarta, Indonesia Who are we? Avomind is a global recruitment firm connecting high-potential talent with leading companies worldwide. We support fast-growing firms, startups, and international enterprises by delivering top commercial, strategy, analytics, insights, operations, and technology talent across APAC, EMEA, and AMER. Our team is international, fast-moving, and collaborative. We value speed, ownership, and structured execution — and we’re constantly improving how we operate internally to stay efficient and scalable. To support our growing operations, we are looking for a Junior Data Controller (Part-Time) to help us maintain structured, accurate, and reliable internal data systems. About the Role This role focuses on maintaining data quality, structure, and visibility across our internal tools and reporting systems. You will help ensure that our CRM and tracking files remain accurate, organized, and actionable so that teams across Business Development, Marketing, and Operations can work effectively. This is a detail-oriented position ideal for someone who enjoys working with structured data, improving processes, and creating clarity from complexity. Responsibilities Maintain and manage HubSpot CRM, ensuring data accuracy, consistency, and completeness. Ensure all pipelines and records are properly filled out and updated. Monitor and update deal statuses and pipeline stages according to current progress. Coordinate with Business Development, Marketing, and Operations teams to gather and share updates when needed. Act as a point of accountability for CRM hygiene and reporting readiness. Identify missing, outdated, or inconsistent data and flag issues proactively. Maintain and organize internal tracking files (KPI tabs, client books, reporting sheets, etc.). Support ad-hoc reporting, data cleanup, and administrative tasks related to internal systems. Requirements We would love to hear from you if you: Are currently enrolled in a Bachelor’s degree program (preferably in the 6th–8th semester) at a university, with availability to work part-time alongside studies. Are pursuing (or have recently completed) a Bachelor’s degree in a quantitative or analytical field such as Mathematics, Finance, Accounting, Engineering, Data Analytics, Economics, or a related discipline. Have professional-level English sufficient for internal communication. Are structured, detail-oriented, and highly organized. Are confident communicating with team members to collect and share updates when needed. Work efficiently and have a strong sense of ownership. Are proficient with Microsoft Excel, Google Sheets, and Google Drive. Experience with HubSpot or CRM tools is a strong plus. Can commit to at least 6 months (ideally 1 year). Nice to Have Experience with Business Intelligence (BI) tools such as Microsoft Power BI, Tableau, Looker Studio, or similar platforms. Experience building or maintaining dashboards for marketing performance, company-wide KPIs, client performance, or other business metrics. Ability to turn raw data into clear reports and visualizations that support business monitoring and decision-making. Working Setup Part-time: 15-20 hours per week. Flexible scheduling between Monday–Friday. Remote work. Based in Jakarta, Indonesia preferred. Why join Avomind? Work with a global and diverse international team. Gain hands-on exposure to business operations and data management. Develop structured thinking and process improvement skills. Flexible working environment suited for students.

Location: Istanbul, Turkey RateHawk is part of Emerging Travel Group — a pioneering travel-tech company also known for its two other brands, ZenHotels and Roundtrip, spanning over 220 markets worldwide. Our mission is to create, distribute, and operate the most convenient travel products. We constantly innovate and break the rules of the highly complex travel industry to make travel more widely available for individuals, more rewarding for professionals, and simpler for everyone. We are looking for a B2A Intern to join our Commercial Team in Istanbul. This is a full-time remote position open to candidates residing in Istanbul. Job Responsibilities: Assist in re-engaging, onboarding, and supporting existing business partners (travel agencies); Monitor partner activity on the platform and analyze key business metrics to identify growth opportunities; Support partner-related requests and help improve the overall partner experience; Conduct market research and competitor benchmarking to identify industry trends and best practices; Collaborate with internal team members to support platform development and business growth; Prepare reports, presentations, and recommendations to support strategic decision-making. Requirements Strong communication and interpersonal skills, with the ability to collaborate effectively in a team; Basic analytical abilities and an interest in making data-driven decisions; Excellent organizational skills and attention to detail; Proactive mindset, curiosity, and a willingness to learn new digital tools and technologies; Interest in B2B business models, online platforms, and digital transformation; Advanced English; additional languages are a plus. Benefits This is a remote, full-time opportunity with fixed hours from 09:00 to 18:00, Monday through Friday. Candidates must be based in Istanbul; Ambitious and supportive team who love what they do, appreciate each other, and grow together; Internal programs for adaptation and training, development of soft skills, and leadership abilities; Partial compensation for participating in external training and conferences; Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world; Corporate prices on hotels and travel services; MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: https://www.emergingtravel.com/career/hr-policy/

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the role The Principal of Marketing Insights sits at the intersection of growth strategy, investment planning, and performance analytics. You’ll partner with the office of CMO, marketing leadership, and cross-functional analytics teams to determine where we invest, how we improve performance, and what it will take to achieve our growth targets. You’ll translate business goals and performance insights into clear priorities, resource decisions, and coordinated action across Marketing. This includes shaping pipeline strategy, evaluating investment tradeoffs, and identifying opportunities to improve conversion, velocity, and efficiency across regions, segments, and growth motions. This is a high-visibility leadership role during a period of significant organizational change. We’re looking for someone who brings structure to ambiguity, challenges assumptions with sound business judgment, and drives decisions through to measurable results. You’ll work closely with marketing leaders, Finance, GTM Operations, Technical Marketing Ops, and Central Analytics to connect strategy, investment, and execution. What you’ll do Growth strategy & planning: Translate company growth targets into marketing plans with clear priorities, investment requirements, and performance assumptions. Lead the analytical foundation for annual and quarterly planning, developing scenarios that evaluate growth opportunities, resource needs, and tradeoffs. Own marketing’s pipeline planning models and assumptions, coordinating inputs across regions, segments, channels, and motions. Identify the highest-impact opportunities to improve pipeline generation, conversion, and velocity; partner with functional leaders to turn those opportunities into action. Investment strategy & efficiency: Shape recommendations for allocating resources across programs, channels, regions, and segments based on expected business impact. Evaluate tradeoffs between headcount and program investment, partnering with Finance and marketing leaders to improve resource productivity. Identify where to scale, reduce, or reallocate spend, and measure whether those decisions improve pipeline yield and marketing efficiency. Develop models that connect marketing investment to pipeline and revenue outcomes, making assumptions and uncertainties clear. Program management & accountability: Lead weekly and monthly marketing performance reviews, focusing leadership on the decisions and actions needed to achieve targets. Proactively identify performance risks, diagnose root causes, and align leaders on corrective actions, owners, and timelines. Track actions and assess their impact, adjusting the approach when results fall short. Lead cross-functional initiatives across Marketing, XDR, Sales, Finance, and Analytics, resolving dependencies and escalating decisions when needed. Insights & measurement: Set the strategic analysis agenda around the business questions most consequential to marketing growth and efficiency. Define the metrics, scorecards, and decision tools marketing leaders need to manage performance. Partner with Analytics to deliver scalable reporting and with Marketing Ops to ensure consistent definitions, reliable tracking, and data quality. Translate complex analysis into clear executive narratives that explain what is happening, why it matters, and what action to take. Skills we’re looking for 8+ years experience in marketing strategy, GTM analytics, or business performance within B2B SaaS, with scope and impact consistent with director-level leadership. A demonstrated record of influencing investment decisions and delivering measurable improvements in pipeline, conversion, or marketing efficiency. Experience developing growth plans, pipeline models, investment scenarios, and performance assumptions. Strong business judgment and a clear point of view, with the confidence to challenge senior stakeholders constructively and build alignment around difficult tradeoffs. Proven ability to lead cross-functional initiatives and drive recommendations through to execution and results. Ability to independently structure ambiguous problems and balance speed with analytical rigor. Deep understanding of B2B SaaS metrics, including pipeline, ARR, conversion, velocity, acquisition costs, and attribution. Hands-on fluency with SQL and BI tools such as Looker, enabling independent investigation and effective partnership with Analytics. Working knowledge of Salesforce and marketing automation platforms such as Marketo. Clear executive communication, with the ability to connect detailed analysis to business decisions. Bonus Skills Experience navigating a merger, organizational integration, or significant GTM transformation. Experience with experiment design, incrementality measurement, predictive modeling, or cohort analysis. Familiarity with the modern data stack, including Fivetran, dbt, Snowflake, and Looker. Background in data infrastructure, developer tools, or analytics software. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $179,670 — $224,587 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. About the team: At Wealthsimple, we aren't just managing portfolios; we're rewriting the rules of how Canadians interact with credit. The Credit Analytics team own’s Wealthsimple's lending ecosystem, operating at the intersection of high-growth tech and data-driven underwriting. We believe that being “credit-worthy” should mean more than just a traditional score. Our mission is to challenge the status quo, building inclusive products that empower millions of Canadians and the businesses they run to lead better financial lives. We’re growing fast, moving from small data to massive scale through iteration and experimentation. We are extending our consumer credit expertise into business lending built for Canadian small and medium-sized businesses (SMBs). This is a true green-field build — new adjudication policy, new underwriting signals, and new risk infrastructure, informed by everything we've learned scaling our consumer card portfolio. About the role: We are looking for a Senior Associate to own credit policy for our business lending products, starting with a business credit card — from adjudication through the full account lifecycle. You will design and implement the underwriting framework that determines who qualifies and at what limit, build the line management strategies that govern how those limits evolve, and partner closely with collections to manage risk once accounts are on book. Small business cards can be underwritten on the owner, or on the business as it grows. You’ll be working with cash flow, seasonality, industry, and business bureau data, which is usually thinner and messier than consumer bureau data. We need someone who has worked across that range and can turn it into automated policy instead of file-by-file decisions. You will collaborate cross-functionally with Engineering, Product, Data Science, Fraud, and Client Experience to translate policy into shippable adjudication and monitoring systems, and you will have significant ownership over how this portfolio’s risk appetite is defined from day one. In this role, you will have the opportunity to: - Build a new lending program from the ground up with the breadth to see every part of it, from policy to funding, and the runway to grow into leading a lending line of business. - Design and own the adjudication policy for a new business credit card, including entity-level underwriting criteria, principal/guarantor assessment, joint-liability, initial limit-setting, and approval decisioning. - Own line management strategy for business credit products: credit limit increases and decreases, pricing, authorization rules, and active exposure management driven by cash-flow and balance monitoring. - Partner with the collections team to design risk-managed treatment strategies specific to business accounts, and to build lifecycle monitoring that catches emerging risk early. - Evaluate the performance of the business lending portfolio and your policies, using vintage analysis, cohort tracking, and champion/challenger testing to validate and refine underwriting decisions. - Propose policy enhancements that improve marginal profitability while keeping risk within appetite, informed by rigorous root-cause analysis rather than surface-level metrics. - Help define the data and underwriting infrastructure needed for SMB lending — including how to source, validate, and weigh business financial data alongside traditional bureau signals. - Influence roadmaps across partner teams (Engineering, Product, Data Science, Fraud, and Client Experience) and implement policy that drives measurable impact. We're looking for someone who: - Has direct experience underwriting or setting credit policy for small and medium-sized businesses, this is a must-have for this role. Card experience isn't required; we'd love to hear from you if your background is in instalment loans or lines of credit. - Writes SQL hands-on to self-serve data and build monitoring and analytics. - Brings credit discipline to a ship-and-iterate environment, and is comfortable shaping policy while the product itself is still being defined. - Can turn analysis into a clear recommendation for technical and non-technical audiences, weigh incomplete or noisy information and still reach well-grounded decisions. - Is intellectually curious, passionate about their work, and wants ownership over their projects. Preferred qualifications: - 5+ years of experience in small business lending - Knowledge of Canadian consumer credit bureau data (Equifax, TransUnion) - Working knowledge of how business credit risk differs from consumer credit risk: entity vs. personal guarantor assessment, business bureau data (e.g., business credit bureaus), cash-flow-based underwriting, industry/sector risk, and revenue seasonality. - Experience across the credit lifecycle: adjudication policy, line management, pricing, and collections strategy. - Experience with statistical/quantitative analysis: experimental design, champion/challenger (or A/B) testing, model accuracy validation, constrained optimization, decision trees, discounted cash flows, financial modeling. - Experience with Python, and GitHub. Airflow, AWS Redshift, and dbt are a plus. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Москва Мы ищем сильного специалиста в команду Казначейства Сбера, которая занимается развитием уникального для банковской отрасли проекта динамического управления ALM-рисками банка через управление структурой сделок банковской книги (кредитами и средствами юридических и физических лиц) посредством гибкого ценообразования. Обязанности ### Чем предстоит заниматься: * развитием методологии и концепции применения оценки ALM-профиля сделок кредитования и привлечения юридических и физических лиц * развитием методологии модели, оценивающей ALM-профиль и размер управляющих ценовых стимулов по сделкам на основе ситуации с рисками в Банке и динамических характеристик входящего потока сделок * участием в масштабировании концепции на новые продукты Банка (разработке подходов, методологии расчета стимулов, механики работы модели, имплементации методологии в модель) * оценкой влияния продуктов банковской книги (сделок кредитования и привлечения средств юридических и физических лиц) на метрики ликвидности, процентного риска и достаточности капитала Банка * подготовкой аналитических материалов для руководства и контрагентов (Бизнес, Риски, ДФ) в рамках Проекта Требования ### Мы ждем что, вы: * имеете высшее образование (финансы / экономика / точные науки) * имеете опыт в области управления активами и пассивами банка / процентным риском / риском ликвидности / методов оценки подверженности Банка данным рискам / структурой продуктов банковской книги от 3 лет * имеете хорошее понимание структуры продуктов банковской книги и принципов ценообразования * знаете основы финансовых рынков / риск-менеджмента * наличие сертификатов CFA / FRM / СФА приветствуется * умеете использовать нейросети в работе Условия ### Что мы предлагаем: * комфортный современный офис рядом с м. Кутузовская * ежегодный пересмотр зарплаты, годовую премию * корпоративный спортзал и зоны отдыха * уникальную систему 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 * корпоративную пенсионную программу.