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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.

Location: Москва Команда создает проект по автоматизации налогового учета цифровых валют, цифровых прав, цифровых финансовых инструментов в том числе с применением AI решений Обязанности ### **Чем предстоит заниматься:** * построением автономного сквозного процесса формирования налоговой отчётности с применением ИИ * внедрением и развитием инструментов на базе искусственного интеллекта для автоматизации расчётов, проверки данных и подготовки налоговых деклараций * взаимодействием с ИТ-командой, методологами и бизнес-заказчиками для формирования требований к системе * контролем качества и полноты формируемой отчётности, минимизация налоговых рисков * анализом эффективности внедрённых решений, предложение улучшений. * сопровождением налоговых и аудиторских проверок в части вопросов налогообложения операций с цифровыми валютами и цифровыми правами * мониторингом изменений законодательства и формирование предложение по гармонизации положений налогового Кодекса в части цифровых валют и цифровых прав * подготовкой презентационных материалов Требования ### **Мы ждём, что вы:** * имеете опыт работы в налоговой сфере от 1 до 3 лет * обладаете глубоким знанием налогового законодательства РФ * понимаете принципы налогового и бухгалтерского учёта * проявляете интерес к цифровизации налоговой функции и автоматизации процессов * владеете навыками подготовки бизнес-требований для автоматизации и внедрения новых продуктов * имеете опыт проектирования и оптимизации процессов налоговой функции * имеете опыт применения ИИ в промышленном масштабе _(будет плюсом)_ * умеете использовать нейросети в повседневной 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.

• Анализировать поведение партнёров и строить сегменты. • Запускать персонализированные предложения и сценарии.

Location: Belgrade, Serbia; Budapest, Hungary; Zagreb, Croatia About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At DoorDash International, we're building the future of local commerce across some of Europe's leading delivery businesses, including Wolt and Deliveroo. Our teams work across brands and markets to identify opportunities, build scalable solutions and turn global capabilities into meaningful local impact. Why Join Us? At DoorDash International, execution drives impact. We combine the scale and technology of a global platform with a deep understanding of our local markets. You'll work across Wolt and Deliveroo, partnering with teams throughout EMEA markets to solve complex business problems and scale what works. If you're passionate about using data to identify growth opportunities, turning insights into action and working across markets to drive measurable business impact, this is an opportunity to help shape how we grow our Restaurant business through better menus. What you'll be doing We are seeking a Menu Growth Senior Specialist to support Restaurant growth by improving restaurant Menu Performance and driving adoption of menu-related growth initiatives across EMEA. Menus are a critical part of the customer and merchant experience. Their quality, completeness and use of growth features can influence customer choice, basket size and overall merchant performance. You will work closely with the Menu Growth Manager to analyze menu performance, identify opportunities and translate insights into concrete initiatives. You will take end-to-end ownership of defined workstreams, such as Menu Completeness,  and work with local Account Management and Merchant Operations teams to execute them across markets and measure their impact. This is a hands-on Strategy & Operations role combining analytics, project management and stakeholder collaboration. You will independently drive your initiatives from analysis through execution and performance tracking, while partnering with the Menu Growth Manager and Consumer Teams on broader strategy and prioritization. Day-to-day in this role you'll: Menu Growth Analysis (~30%) Analyze consumer needs around menu, merchant and business performance to identify gaps and growth opportunities. Use SQL, Snowflake, spreadsheets and dashboards to investigate performance and support data-driven decision-making. Work with the Menu Growth Manager to turn insights and hypotheses into concrete initiatives. Track key metrics including and identify markets or merchant segments requiring additional focus. Support impact measurement and experimentation to understand which interventions improve merchant and business outcomes. Prepare clear analyses and recommendations that help EMEA and local teams make informed decisions. Initiative Execution (~45%) Own defined Menu Growth initiatives end-to-end, from planning through market rollout and performance tracking. Support the rollout and adoption of EMEA initiatives Translate initiatives into clear execution plans, timelines, materials and actions for participating markets. Track progress against agreed targets and proactively identify execution gaps or blockers. Coordinate follow-ups with local teams and support them in implementing agreed actions. Measure results, document learnings and recommend improvements together with the Menu Growth Manager. Help scale successful approaches and best practices across EMEA markets. Market & Stakeholder Collaboration (~25%) Work closely with local Account Management and Merchant Operations teams and their leaders across EMEA. Support markets in understanding menu performance gaps and translating insights into concrete actions. Build strong relationships with local stakeholders to drive adoption and execution of Menu Growth initiatives. Gather structured market feedback and use it to improve future initiatives. Coordinate with Analytics and Product when initiatives require additional data, insights or tooling support. Share successful approaches and learnings across markets to accelerate adoption and reduce duplicated effort. Our humble expectations 2–4 years of experience in Strategy & Operations, Business Operations, Marketplace/Commercial Operations or a comparable analytical role. Strong analytical and structured problem-solving skills, with the ability to turn data into actionable recommendations. Comfortable working with large datasets, SQL/Snowflake, Excel/Google Sheets and BI/dashboarding tools. Familiarity with hypothesis-driven problem solving, experimentation and A/B testing principles. First project management experience, with the ability to independently drive defined initiatives from analysis through execution. A commercial mindset and curiosity about how merchant and customer behavior translates into business growth. Strong stakeholder-management skills and a proactive, action-oriented approach to driving execution across teams and markets. Fluent business English; experience in marketplaces, food delivery, e-commerce or high-growth tech is a plus. What we offer A fast-growing tech company with lots of career opportunities, both locally and internationally; Employee Assistance Programme - therapy and wellbeing; Employee discount on all Wolt orders; Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! We will be reviewing applications on an ongoing basis, so if this sounds like an opportunity you want to pursue, apply today! Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role Aidoc’s Enterprise Decision Intelligence (EDI) team is the company’s in-house strategy and analytics function. We help leadership make better, faster decisions in two ways: deep-dive analyses of the company’s biggest strategic questions (entering a new market, pricing, the ROI of a major initiative), and the company-wide KPIs and “single source of truth” that everyone relies on. Our work is used by the C- suite and the Board. We’re looking for an Information Delivery & Visualization Engineer, a BI-minded builder, to be the face of our data. Today, much of our reporting lives in manually built slide decks; you’ll lead the shift to something live, polished, and trusted across the company. This is a role with real ownership and visibility. You’ll set the standard for how data is presented at Aidoc, work directly with senior stakeholders, and learn from a small, senior team of data engineering, data science, and BI experts. The scope is intentionally broad, so you’ll grow across the data stack. As the function evolves, there are several paths forward, and we’ll shape the direction with you. Responsibilities Dashboards & self-service analytics: Design, build, and maintain interactive dashboards ( Databricks) that make KPIs and deep-dive findings available to executives and teams across the company. This is bespoke work, not template charts: custom visuals, tailored layouts, and purpose- built interactive views (drill-downs, scenario toggles, and the like) designed around each audience’s decisions. From slide decks to live insights: Upgrade and replace recurring manual KPI decks for the C- suite and Board with automated, always-up-to-date dashboards. Enablement: Train and support stakeholders in Sales, Marketing, Finance, People, Clinical, and R&D to answer their own questions, and track adoption to keep improving. Own the foundations KPI dictionary: Lead the creation and upkeep of the company’s KPI dictionary / data catalog : clear definitions, owners, and calculation logic, adopted across teams. Data quality: Own improving our data integrity as Aidoc scales, holding our numbers to an enterprise-grade level of rigor, so people can trust the numbers. New KPIs: From time to time, work with stakeholders to define new KPIs, together with our data engineer and data scientist. Requirements Over 5 years of experience in BI development, data visualization, analytics engineering, or a similar role. Hands-on experience building dashboards in a modern BI tool (Databricks, Tableau, Power BI, Looker, or similar), including custom-built work that goes beyond default templates and standard chart types. A strong eye for design: you turn complex data into clear visuals that executives can read in seconds. Business understanding: the drive to ask why a KPI matters, not just how to chart it. Clear communicator with both technical and executive audiences; full professional English. Great collaboration skills: you build trust and partner easily with many teams across Aidoc (Sales, Marketing, Finance, People, Clinical, R&D, and more), and you gather requirements, align on definitions, and handle competing priorities with patience and good judgment. Ownership mindset: a self-starter who is comfortable with ambiguity and building from scratch, under guidance. Versatile and curious: you enjoy variety (building, documenting, cleaning data, working with stakeholders) and take pride in the behind-the-scenes work that makes data trustworthy. Nice to have: Databricks experience. Strong SQL, and a solid understanding of data modeling and data warehousing. Working proficiency in Python for data manipulation. Experience with ETL pipelines and a cloud data platform (AWS, Azure, or GCP). Experience with SaaS or healthcare metrics (e.g., ARR, ACV, clinical KPIs). Front-end or UX/UI design experience (e.g., custom visualization libraries such as D3, Plotly, or similar). Basic statistics for KPI and metric development. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Опыт работы на аналогичной позиции от 3х лет.

В ваши задачи будет входить: разработка стратегии развития направления, работа с командой системных аналитиков, разработка стандартов, внедрение и управление изменениями, планирование развития технической функции.

Location: Vilnius, Lithuania Workplace: fully We are looking for a Senior Data Steward to support data governance , data quality , and regulatory compliance initiatives in a banking environment. The role focuses on BCBS239 -related activities, including resolving data quality issues, maintaining business glossaries, implementing data quality controls, and defining data lineage in close collaboration with business and technology stakeholders. Key Responsibilities: Support data governance , data quality , and regulatory compliance initiatives Contribute to BCBS239 activities, including data quality issue resolution and control implementation Maintain business glossaries and document data lineage Collaborate with business and technology stakeholders to improve data management practices Translate business needs into technical requirements and support delivery using SQL , JIRA , and Confluence Must-Have Requirements: Experience in data governance , data management, or similar roles Experience in the banking or financial services industry Strong SQL skills and data analysis capabilities Understanding of data warehousing and reporting concepts Knowledge of database structures Experience with MS Office , JIRA , and Confluence Strong analytical and problem-solving skills Ability to translate business needs into technical requirements Excellent communication skills Fluent English written and spoken Nice to Have: Regulatory reporting experience Knowledge of BCBS239 Business knowledge of banking products, systems, and processes Experience with data lineage frameworks Experience with data quality frameworks 👍 English: upper-intermediate 🌍 Location: 📩 Ready to Join? We look forward to receiving your application and welcoming you to our team!

Location: Mapbox Minsk Workplace: OnSite Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT YOU'LL DO -  You will review a large amount of traffic data (road incidents: constructions, closures, etc.), feedback from customers to improve their experience; - You will do a root-cause analysis using various data sources and tools to understand the customers’ issues; - You will make high quality edits on OSM and other internal data sources based on guidelines - You will provide investigations and analysis, find patterns and write reports; - You will tightly interact with teammates, managers and engineers to improve current tools, workflows, products and services. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE -  Strong analytical skills and attention to detail. Ability to work with large volumes of traffic data, identify patterns, and perform root-cause analysis - Quick learner: able to grasp new tools, workflows, and guidelines efficiently - English level: B1 (intermediate), both written and spoken — sufficient for daily communication, reading guidelines, and writing reports. - Willingness to work a 2/2 shift schedule from the office is required (2 days on, 2 days off), with day shift from 8:00am to 8:00pm and night shift from 8:00pm to 8:00am. - Basic knowledge of traffic regulations is required Would be a plus: - Background in GIS, cartography; familiarity with OSM or similar mapping tools - Practical use of AI tools for data retrieval, automation, or workflow optimization - Solid knowledge of SQL, Python, JS, or low-code platforms for analysis and automation - Comfortable working with Jira and Confluence WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.

Директор по связям с инвесторами будет разрабатывать и реализовывать стратегию в области связей с инвесторами, реализовывать комплекс взаимоотношений с акционерами, руководить подготовкой и проведением годовых собраний акционеров, участвовать в подготовке комплексных программ, инвестиционных проектов, составлении перспективных и текущих планов.

Стандартизация отчетности: разработка и поддержание единой системы метрик и методологий анализа данных на всех уровнях Корпорации. Разработка и предоставление регулярных отчетов и аналитических материалов по ключевым метрикам.

- Анализ корректности клиентских отчетов, расчет формул доходности MWR/TWR, дюрации, подготовка управленческих отчетов на базе 1С и с использованием прикладных инструментов; Опыт работы по требуемому функционалу, сопровождение/поддержка бизнеса (middle-office) в УК, Брокере, Инвестиционном банке;

Задачи: — Разрабатывать и совершенствовать методологию FTP. — Рассчитывать трансфертные ставки и стоимость фондирования. — Участвовать в автоматизации расчётов и внедрении ПО. — Готовить аналитику для руководства и материалы на КУАП. Требования: — Опыт от 1 года в банковском казначействе или рыночных рисках банков ТОП-30. — Знание банковских продуктов и принципов трансфертного ценообразования. — Уверенный Excel, работа с большими массивами данных. — SQL, Python, VBA — преимущество. Условия: — Гибрид, график 5/2. — ДМС со стоматологией с первого дня. — Бесплатный фитнес в офисном здании. — Корпоративное обучение и льготы.