Credit Model Validation Manager Jobs

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview Multifamily Capital Markets is seeking an exceptionally curious, analytical, and driven professional to help identify, prioritize, and deliver the initiatives that can most improve the business. This is a rare opportunity to develop a broad view across the Multifamily Capital Markets organization, including loan pricing, pipeline risk management, portfolio management, securitization, credit-risk transfer, operations, and technology. You will work directly with a Capital Markets leader who brings deep Multifamily expertise, extensive Wall Street markets and product experience, and a track record of developing innovative solutions to complex financial problems. Together, you will examine how the business operates, identify its highest-impact opportunities, challenge existing assumptions, and develop solutions from first principles. This is a hands-on role combining original problem-solving, quantitative analysis, and end-to-end initiative delivery. You will research unfamiliar topics; analyze financial, market, and operational data; build analytical models and lightweight Python prototypes; test hypotheses; frame business questions; and develop fact-based recommendations. You will write the memos and presentations that move decisions forward, document conclusions and requirements, coordinate contributors, maintain project plans and follow-ups, and drive multiple initiatives through organizational and technical roadblocks from initial idea through implementation. The successful candidate will be expected to operate with substantial independence and combine analytical depth with exceptio

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What is the opportunity? Every go-to-market decision at Intercom, who we target, who owns the account, what we know about them, what we should say next - rests on a foundation of account and contact data. Getting that foundation right is one of the highest-leverage engineering problems in the company: a single account hierarchy fix can re-route territory, pipeline credit and forecast for thousands of accounts at once. This role owns that foundation. You will build and run the systems that decide what an account is , resolving duplicates, stitching subsidiaries into corporate hierarchies, sourcing new accounts and contacts into our CRM, and enriching them with firmographic, technographic and intent signals. Increasingly using LLMs and web research rather than off-the-shelf vendors. Your work is used daily by Sales, Marketing

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. As a Data Scientist working on Causal Inference in SCC, you'll partner with a strong team of engineers, product managers, designers, and operations leaders to deliver a personalized and exceptional experience for Lyft customers, using rigorous causal inference to guide the highest-stakes decisions we make. We're looking for a motivated and talented Data Scientist with deep causal inference expertise to join the SCC Data Science team. You'll partner closely with the area's tech lead on high-impact work spanning AI-powered support products, differentiated service, and operations optimization. The ideal candidate brings sharp applied inference intuition, a bias toward impact, and the ability to cut through ambiguity in complex problem spaces. You'll work on projects like: Design rigorous experiments and quasi-experiments to measure the causal impact of SCC product and AI-agent launches, and drive data-informed launch decisions. Build causal ML models to optimize concession budget allocation, targeting the right support credit, to the right rider or driver, at the right moment to maximize trust and business impact. Quantify the long-term effects of support-experience changes on rider and driver retention, and uncover heterogeneous treatment effects across our community. Deliver strategic insights on quality–cost tradeoffs, empowering leadership to balance service quality, coverage,

Location: Mumbai, India Experience: 8–10 Years Qualification: CA / MBA (Finance) / CFA or equivalent About the Role- We are looking for an experienced Treasury professional to join our Corporate Treasury & Capital Markets team. The role will be responsible for managing the organization's funding, liquidity, banking relationships, capital market borrowings, treasury operations, and regulatory compliance while ensuring efficient cash management and optimal utilization of financial resources. The ideal candidate will have strong experience in debt capital markets, corporate treasury operations, banking relationships, SAP, and regulatory compliance. Key Responsibilities 1. Capital Markets & Debt Management Structure, execute, and manage short-term and long-term debt instruments including: Commercial Papers (CPs) Non-Convertible Debentures (NCDs) Term Loans Coordinate with credit rating agencies, merchant bankers, debenture trustees, institutional investors, and lending banks. Support fund-raising initiatives and debt optimization strategies. Manage security creation, charge filings (ROC/CERSAI), and all related financing documentation. Monitor debt portfolio, repayment schedules, and borrowing costs. 2. Treasury Investments & Liquidity Management Manage daily liquidity and cash positioning across all bank accounts. Optimize deployment of surplus funds through: Money Market Instruments Mutual Funds Fixed Income Investments Prepare and monitor daily cash flow and liquidity reports. Develop and enhance working capital and cash flow forecasting models. Ensure efficient allocation of funds while minimizing idle cash balances. 3. Banking Relationships & Treasury Operations Manage strategic relationships with banks and financial institutions. Negotiate banking facilities, pricing, and credit limits. Oversee Corporate Banking platforms including: Host-to-Host (H2H) Cash Management Services (CMS) Online Banking Portals Administer banking access controls, user rights, and s

Location: Mumbai, India Experience: 8–10 Years Qualification: CA / MBA (Finance) / CFA or equivalent About the Role- We are looking for an experienced Treasury professional to join our Corporate Treasury & Capital Markets team. The role will be responsible for managing the organization's funding, liquidity, banking relationships, capital market borrowings, treasury operations, and regulatory compliance while ensuring efficient cash management and optimal utilization of financial resources. The ideal candidate will have strong experience in debt capital markets, corporate treasury operations, banking relationships, SAP, and regulatory compliance. Key Responsibilities 1. Capital Markets & Debt Management Structure, execute, and manage short-term and long-term debt instruments including: Commercial Papers (CPs) Non-Convertible Debentures (NCDs) Term Loans Coordinate with credit rating agencies, merchant bankers, debenture trustees, institutional investors, and lending banks. Support fund-raising initiatives and debt optimization strategies. Manage security creation, charge filings (ROC/CERSAI), and all related financing documentation. Monitor debt portfolio, repayment schedules, and borrowing costs. 2. Treasury Investments & Liquidity Management Manage daily liquidity and cash positioning across all bank accounts. Optimize deployment of surplus funds through: Money Market Instruments Mutual Funds Fixed Income Investments Prepare and monitor daily cash flow and liquidity reports. Develop and enhance working capital and cash flow forecasting models. Ensure efficient allocation of funds while minimizing idle cash balances. 3. Banking Relationships & Treasury Operations Manage strategic relationships with banks and financial institutions. Negotiate banking facilities, pricing, and credit limits. Oversee Corporate Banking platforms including: Host-to-Host (H2H) Cash Management Services (CMS) Online Banking Portals Administer banking access controls, user rights, and s

About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale commercial offerings by overseeing billing operations, deal desk, revenue systems, revenue accounting, and controllership. We work cross-functionally with Product, Engineering, Go-To-Market, Tax, Legal, and Technical Accounting to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows. About the Role This senior leader will own key elements of Ads revenue accounting from technical assessment through operational execution. The role will guide accounting for products, pricing, contracts, incentives, credits, refunds, makegoods, international expansion, and new go-to-market motions. It will establish governance and translate approved accounting positions into launch, billing, data, close, reconciliation, and control requirements. Success requires deep technical revenue expertise, strong business partnership, and the ability to build durable 0-to-1 processes in a fast-changing environment. Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently. This role can be based in San Francisco or New York City. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead technical accounting assessments for Ads products and commercial arrangements, including performance obligations, variable consideration, allocation, principal-versus-agent, collectibility, contract modifications, refunds, incentives, credits, makegoods, and revenue presentation. Own and continuously evolve Ads revenue accounting policies and operating guidance as product behavior, pricing, contracting, incentive programs, and billing models change. Establish gover

About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale commercial offerings by overseeing billing operations, deal desk, revenue systems, revenue accounting, and controllership. We work cross-functionally with Product, Engineering, Go-To-Market, Tax, Legal, and Technical Accounting to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows. About the Role This senior leader will own key elements of Ads revenue accounting from technical assessment through operational execution. The role will guide accounting for products, pricing, contracts, incentives, credits, refunds, makegoods, international expansion, and new go-to-market motions. It will establish governance and translate approved accounting positions into launch, billing, data, close, reconciliation, and control requirements. Success requires deep technical revenue expertise, strong business partnership, and the ability to build durable 0-to-1 processes in a fast-changing environment. Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead technical accounting assessments for Ads products and commercial arrangements, including performance obligations, variable consideration, allocation, principal-versus-agent, collectibility, contract modifications, refunds, incentives, credits, makegoods, and revenue presentation. Own and continuously evolve Ads revenue accounting policies and operating guidance as product behavior, pricing, contracting, incentive programs, and billing models change. Establish governance for new pro

About the Team OpenAI's mission is to ensure that AGI benefits all of humanity. The Business Systems team helps make that mission possible by building the internal products and platforms that allow OpenAI to operate with speed, reliability, and care. We build internal applications and workflows for Finance and Supply Chain. Our work spans product discovery, React and TypeScript interfaces, Python services and APIs, data models, workflow orchestration, enterprise integrations, and the systems that connect people to systems of record. We work directly with the people who use these products and care about correctness, permissions, auditability, and production reliability. Examples of our work include building an integration platform for supply chain integrations, integrations with Oracle Fusion and Zip, contract intelligence applied to B2B revenue recognition, and Temporal-based agentic workflows for credit checks, duplicate bank detection, and invoice triaging. We turn these efforts into reusable patterns that can support many workflows, rather than one-off automations. About the Role We are looking for Product Engineers to build internal applications end to end. This role spans product discovery, user experience, frontend, backend services, data models, workflow orchestration, and integrations with order management, fulfillment, and supply chain systems. You will take a problem from a first conversation with a Finance or Supply Chain partner through design, implementation, rollout, and production support. Strong candidates combine product judgment with engineering depth. You should be comfortable moving between a React interface, a Python API, a durable workflow, and an integration with an enterprise system. You should be able to ship a useful first version quickly while building the foundations for reuse, security, and long-term maintainability. Direct AI experience is helpful, but the core requirement is strong product engineering judgment and reliable execution. I

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Dun & Bradstreet Technology and Corporate Services India LLP is the global center of excellence for providing technology and analytics solutions and services to Dun & Bradstreet and its clients globally. We specialize in delivering predictive models and decision management solutions to convert raw data into actionable insights. Our customers include banks, financial services organizations, credit bureaus, rating agencies and thousands of businesses across the globe. Headquartered in Hyderabad (India), the company employs high caliber data scientists, economists, analytics professionals and data engineers from some of the finest institutions in the country striving to create more transparent credit & business environment and robust economies. key Responsibilities: Build & support automation requirement & opportunities across analytics programs Build Power BI dashboards, semantic models, KPI scorecards, executive reports Partner with BU stakeholders to identify AI use cases and deliver intelligent knowledge discovery capabilities. Design and develop monitoring and QA automation solutions to streamline processes, reduce manual effort, and improve operational efficiency.</

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £115,000 - £150,000 + Incentive Awards tied to your performance + Benefits ✨ About our Machine Learning Search Team We are currently embarking on one of our two top strategic priorities to make Money work for Everyone: building the Monzo Co-pilot. We are becoming an intelligent, proactive ally that handles the complexity of users financial life. We aren't just selling financial products; we are building a truly smart agent that understands users, anticipates their needs, and helps people reach their financial goals. Our ML Search team brings together Backend, Product, Machine Learning Scientists and Data Scientists. As a Lead Machine Learning Scientist, you’ll build and ship models that help customers search for and find answers about their financial lives. You'll make it effortless for them to find the right products at the exact moment they need them. Whether it’s surfacing the right savings product at the perfect moment, helping customers manage their spending, or simplifying financial planning, our work makes banking smarter, more intuitive, and truly customer-first. What you’ll be working on: A

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ Staff Analytics Engineer - Borrowing 📍London/Cardiff/UK Remote | 💰 £121,600-164,600 + Incentive Awards tied to your performance and benefits | Hear from the team ✨ ⭐ Our Borrowing Analytics Engineering Team Our mission in Borrowing is to help people achieve their financial goals through better borrowing. Our customers borrow money to achieve something in their lives — whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. We’re shaping this mission by building products our customers love, while safely scaling some of Monzo’s biggest revenue lines. Borrowing is one of Monzo’s most complex and fastest-growing domains. We operate 12+ products across multiple geographies, underpinned by 1,700+ data models and an analytics engineering team that’s scaling to match. We’re in the middle of a major data architecture transformation, expanding into new markets, and building the next generation of data infrastructure to support it all. We’re looking for a Staff Analytics Engineer to help shape how Borrowing builds and uses data at scale. Reporting

Title: Business Manager - Algo & Partnership About Us: Paytm is India's leading digital payments and financial services company. Our platform offers a wide range of payment solutions to consumers and merchants, including utility payments, money transfers, and Paytm Payment Instruments (PPI) such as Paytm Wallet, Paytm UPI, and Paytm Payments Bank Net-Banking. We also provide merchant services, advertising, and a Mini app store. With a focus on growth and engagement, we leverage data science to drive sustainable success. We offer credit services sourced from financial partners to further support merchants. About the Role: We are looking for a highly driven and partnership-focused professional to lead growth initiatives for Algo Trading and Strategic Partnerships at Paytm Money. The role involves driving derivative trading growth through the algo ecosystem, managing strategic fintech partnerships, and expanding the API and trading partner ecosystem for Paytm Money. Responsibilities : Drive MTUs and derivatives trading volume through algo trading initiatives and ecosystem partnerships. uild and manage partnerships with algo trading platforms, strategy providers, API partners, and fintech ecosystems. Own onboarding, activation, and growth of algo/strategy partners on Paytm Money. Collaborate closely with product and engineering teams to improve Algo API adoption and ecosystem scalability. Develop commercial models including revenue sharing, API monetization, and partner-led acquisition opportunities. Track partner performance, active usage, engagement metrics, and revenue contribution through dashboards and business reviews. Identify new growth opportunities within the retail algo trading, derivatives, and F&O ecosystem. Coordinate partner launches, campaigns, integrations, and ecosystem initiatives with cross-functional teams. Build and maintain strong relationships with fintech partners, trading communities, brokers, and industry stakeholders. Prepare business upda

Title: Sr. Manager/DGM - User Investing Growth - Algo + Partnership About Us: Paytm is India's leading digital payments and financial services company. Our platform offers a wide range of payment solutions to consumers and merchants, including utility payments, money transfers, and Paytm Payment Instruments (PPI) such as Paytm Wallet, Paytm UPI, and Paytm Payments Bank Net-Banking. We also provide merchant services, advertising, and a Mini app store. With a focus on growth and engagement, we leverage data science to drive sustainable success. We offer credit services sourced from financial partners to further support merchants. About the Role: We are looking for a highly driven and partnership-focused professional to lead growth initiatives for Algo Trading and Strategic Partnerships at Paytm Money. The role involves driving derivative trading growth through the algo ecosystem, managing strategic fintech partnerships, and expanding the API and trading partner ecosystem for Paytm Money. Responsibilities : Drive MTUs and derivatives trading volume through algo trading initiatives and ecosystem partnerships. uild and manage partnerships with algo trading platforms, strategy providers, API partners, and fintech ecosystems. Own onboarding, activation, and growth of algo/strategy partners on Paytm Money. Collaborate closely with product and engineering teams to improve Algo API adoption and ecosystem scalability. Develop commercial models including revenue sharing, API monetization, and partner-led acquisition opportunities. Track partner performance, active usage, engagement metrics, and revenue contribution through dashboards and business reviews. Identify new growth opportunities within the retail algo trading, derivatives, and F&O ecosystem. Coordinate partner launches, campaigns, integrations, and ecosystem initiatives with cross-functional teams. Build and maintain strong relationships with fintech partners, trading communities, brokers, and industry stakeholders

We're looking for someone who leads and sets technical direction in equal measure. Someone who can make hard calls, navigate business trade-offs, and still walk into a room and have a genuinely useful conversation about architecture, credit decisioning, or how AI is changing the way great engineering teams work. That combination is rare. That's why we're writing this. Few companies at this stage have this much cool stuff ahead of them. The foundation is built. The real expansion starts now. We've already helped a lot of people in debt take back control of their finances. But we're moving to a much larger scale, extending the journey toward lasting financial stability and wellbeing for more people across Europe. We're profitable. We're regulated as a kreditmarknadsbolag, a licence that lets us operate across the entire EU. Germany is growing fast and Sweden and Finland is strong markets. Our 2030 ambition is to be a pan-European company. That future is genuinely exciting and not fully written yet. The team is small and intentionally so. We're not trying to build a massive organisation. We'd rather have fewer people who want to do the exceptional and sometimes the unthinkable. People who trust each other, move fast and care about doing things properly. That's the culture we've built and it's something we're protective of. AI is a big part of how we work. Not just as a strategy, but something that's lived and breathed across engineering, analytics, operations and product development. We're building internal tooling on frontier models and we believe the way strong product and engineering organisations operate is changing quickly. This role requires someone who genuinely believes that too. What the role actually is You'll own the full technology function. That means setting direction, building the team, making trade-offs between speed and quality, and being a real contributor in leadership discussions about the business, not just the technical ones. This role is inherent

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. JOB DESCRIPTION Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior. DESIRABLE CANDIDATES MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX Strong analytical and quantitative skills Demonstrated ability to conduct independent research utilizing large data sets Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl Detail-oriented Willing to take ownership of his/her work, working both independently and within a small team We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that yo