We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Hasbro is building the next generation of digital capabilities, with S/4HANA at the core of our global transformation. We are seeking a Senior Order-to-Cash Functional Lead to own and advance our S/4HANA OTC landscape. This role is not transitional; it is designed for a leader who will define future-ready processes, drive standardization, and shape how we deliver exceptional customer, retail, and partner experiences worldwide. You will serve as the primary strategist and design authority for OTC business processes, ensuring they leverage modern S/4HANA functionality and align with Hasbro’s evolving digital, D2C, and B2B strategies. What You’ll Lead Act as the global owner for S/4HANA OTC processes, championing adoption of standard capabilities over legacy ECC approaches. Define and maintain global OTC process standards, policies, and best-practice designs. Drive continuous improvement across order management, pricing, ATP, delivery execution, billing, and credit management. Support Hasbro’s global digital roadmap across Direct-to-Consumer and Business-to-Business channels. Solution Design & Delivery Translate business strategies into scalable, S/4HANA-native OTC solutions. Lead functional design sessions, model future-state processes, and educate stakeholders on S/4 capabilities. Oversee configuration, enhancements, and testing activities, ensuring high-quality delivery. Coordinate User Acceptance Testing for OTC initiatives. Cross-Functional Collaboration Partner with Finance, Materials Management, Invent
Jobiba hiring network
Credit Model Validation Manager Jobs
2,652 active opportunities · Updated for October 2026
Fresh results
15 shown
Explore current credit model validation manager jobs. Use filters to narrow by work mode, employment type, experience and date posted.
Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Impact At FalconX, you’ll help make crypto assets a successful asset class. Some of the largest financial institutions from Wall Street to Silicon Valley and around the world will turn to you for the best market prices and insights on the crypto industry. You will become the expert on crypto industry trends and market movements. With your experience, you will shape our company’s trading strategies according to our core values - speed, transparency and trust. As a core quant developer you’ll: As a Quant Developer you’ll be focused on end to end ownership of electronic products and services. You will play a critical role in developing models and strategies to manage and mitigate financial risks associated with complex trading. You will work closely with cross-functional teams to ensure robust risk management frameworks are in place.You will ensure the pricing and risk management framework of our electronic products are up to the highest standards. Key Responsibilities Model Development : Design and implement quantitative models to assess and manage financial risks, including market, credit, and operational risks. Pricing and Risk Pipeline development : Conduct comprehensive risk assessments of our electronic pricing pipelines and scenario analyses to id
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. SoFi Bank N.A. seeks Staff Data Scientist in San Francisco, CA: Job Duties: Identify opportunities and collaborate cross functionally to develop, implement, and continuously improve machine learning models and strategies that support credit underwriting. Identify opportunities to apply AI and advanced machine learning approaches to solve complex business problems. Evaluate alternative data sources and external vendor solutions by defining and driving proof of concept projects to demonstrate the solutions business values. Explore and leverage inhouse, external, and other opensource machine learning software/algorithms. Contribute in enhancing SoFi’s risk model development code base by developing customized Python scripts or packages. Collaborate with Model Risk Management team and Fair Lending team to demonstrate models are developed with high level rigor that satisfy Model Risk Management requirements, Fair Lending requirements, and other regulatory requirements. Spearhead model deployment by collaborating with cross functional teams including Credit, Product, Engineering, and Business Unit. Present model performance and insights to Credit, Risk, and Business Unit leaders. Full-time telecommuting is an option. Requirements: Master’s degree in Statistics, Data Science, or a related quantitative discipl
About the Team The Treasury team is responsible for protecting liquidity, enabling scale, maintaining strong controls, and helping the company operate with clarity and resilience. We work across finance and operational partners to ensure funds move safely, visibility remains high, and Treasury infrastructure keeps pace with a fast-moving business. As hands-on operators and builders, we combine financial judgment with AI, automation, and data to solve problems faster, strengthen controls, and continuously improve how Treasury operates. About the Role We’re looking for a Treasury Manager to own and execute critical activities across OpenAI’s global treasury operations, including cash management, payments, bank account management, forecasting support, controls, and reporting. Beyond day-to-day operations, this person will support Treasury leadership on high-impact projects such as M&A integrations, new legal entity formation, and geographic and currency expansion. They’ll also help build scalable, AI-enabled systems, workflows, and controls for a rapidly growing global business. This is an individual contributor role with broad scope, spanning operational ownership and building an AI-native Treasury function. This role is based in our San Francisco HQ. 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: Own core global treasury operations across cash positioning, payments, bank account management, portal administration, forecasting support, and FBAR preparation. Coordinate day-to-day execution for intercompany funding, settlements, investment operations, letters of credit, guarantees, treasury close, and related accounting handoffs. Automate and scale treasury workflows for request intake, approvals, payment tracking, bank account changes, KYC follow-up, access reviews, evidence collection, and issue resolution. Identify recurring processes, manual pain points, duplicate work, control
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Financial Risk Analyst As a Senior Financial Risk Analyst located in Chicago, you will be part of a team of high-performing professionals that evaluates and manages financial risk (i.e. chargebacks) arising from a portfolio of enterprise merchants, as well as assessing the risk of new products. As a member of our team, you will help us scale and innovate our financial risk management framework and processes. You will be working closely with the Commercial, Product and Legal teams while collaborating with some of the biggest merchants processing on the Adyen platform, all with one overarching goal: limiting Adyen’s exposure to credit losses. Our team is highly motivated, extremely innovative, and thrives on shared success. As we operate globally, our team is part of an international team with diverse backgrounds and skill sets. Our ideal new team member has a proven track record of solving problems, is a great communicator with an affinity for technology and a passion for finance. What you’ll be doing You will work closely with our very diverse merchant portfolio, to assess and analyze their business model and financial health, and provide clear and concise credit risk advice to the Adyen credit risk committee. You will drive continuous improvement of our risk management framework, including policies, tools a
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: SoFi is seeking an energetic, detail-oriented, self-motivated, and intellectually curious Independent Risk Management (IRM) Director to support the growth of our Invest business. Your success in this role will rely on deep subject matter expertise in broker-dealer, investment advisory matters, and retail investment product risks. This person will serve as the senior second-line risk leader responsible for independent risk oversight of the Invest business. This role will act as the primary risk partner to Invest leadership, providing credible challenge, strategic risk advisory, and oversight across all material risk categories associated with the business, excluding Compliance Risk, which is overseen by a dedicated Invest Compliance organization. Specifically, the Director will operate in close partnership with Compliance leadership in a coordinated coverage model to ensure comprehensive and effective risk oversight. Will look for this leader to leverage their comprehensive understanding of risk management and the mitigating controls needed across risk types - including operational, fraud, technology, credit and third-party. You will apply lessons learned from peers across the industry - both benchmarking against industry leaders as well as learning from those who have under-performed,
About the Role We are looking for an experienced Credit Risk Data Scientist who is data-driven, has strong analytical and technical skills, and operates with a high degree of ownership. In this role, you will lead the credit strategy that lets Chime lend to people before they have a relationship with us — starting with Instant Loans for new members (top of funnel) and expanding to future unsecured credit products such as credit cards. You'll develop risk policies and strategies to manage credit risk throughout the member lifecycle, and you'll work as a trusted cross-functional partner with product, growth, data engineering, machine learning, and analytics teams, interacting with business stakeholders across many departments. In this role, you can expect to Own credit strategy for new-to-Chime applicants across the member lifecycle, starting with Instant Loans for prospects (top of funnel) and extending to future unsecured products such as credit cards and/or lines of credit Develop and evolve channel-specific credit policies (pre-approval / prescreen, direct mail, open application, referrals, and affiliates) that support growth while balancing risk, unit economics, and member experience Design and continuously iterate acquisition, loan amount / line assignment, pricing, line management, repayment, and collections strategies Leverage credit bureau (e.g., Experian), alternative, and internal Chime data to underwrite applicants with no prior Chime relationship; build credit models and policies hands-on and in partnership with our DSML team Lead test-and-learn: design and read out champion/challenger tests and controlled ramps, and quantify trade-offs among approvals, losses, direct deposit conversion, and lifetime value Partner with Finance and Strategy to size new channels and forecast approval funnels, vintage losses, and unit economics; set launch criteria, guardrails, and expansion triggers Collaborate with data teams to build data infrastructure and early-read mon
Citi's Asset Backed Securitization and Financing business is one of the most active and diversified structured finance platforms in the market, operating across a broad range of asset classes including auto, equipment, consumer, solar, with a focus on the esoteric products. The team sits within Citi's Spread Products Business group and works across the full securitization lifecycle — from new-issue structuring and deal analysis through to ongoing surveillance and performance monitoring. The business partners closely with originators, underwriters, and investors globally, leveraging deep analytical capability and market expertise to deliver best-in-class structured finance solutions at scale. We are looking for a Vice President/ Director to join the Financing and Securitization Analytics team in a structuring-focused role, where you will own the development and management of cashflow models across a large and varied ABS portfolio, support deal structuring workflows. This is a role for a structured finance professional who combines strong quantitative and modelling skills with the ability to work across deal teams, mentor analysts, and contribute to both the analytical and operational infrastructure of a high-performing business. Key Responsibilities Lead the structuring and execution of ABS transactions, including warehouse facilities and term securitizations, across Core (Auto, Personal Loan, Equipment) and Esoteric (Aviation, Data Center, Triple Net Lease) asset classes. Develop, maintain, and enhance detailed cash flow, collateral, and credit models using Excel, Intex, and related analytical tools. Conduct rigorous quantitative analysis, including bond math, scenario analysis, and stress testing, to assess deal economics, structural features, and credit risk. Coordinate execution with internal teams including credit risk, capital markets, syndicate, sales, trading, legal, and operations
🚀 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 ❤️ 📍Dublin | 💶 €121,000 - €163,000 + Incentive Awards tied to your performance + benefits | Hear from the team ✨ ⭐ Our Risk team Monzo is building a bank for Europe, and lending sits at the heart of that plan. The Head of Credit Risk Oversight is a senior risk leadership role in the Second Line of Defence (2nd LoD), shaping how Monzo Bank Europe lends as it scales across the continent. You'll join early enough to set the standard, and stay to see it grow with the portfolio. Roles like this don't come along often. You'll lead the oversight of Monzo Bank Europe’s whole lending business. That means driving our Credit Risk Framework, defining the risk appetite, challenging and shaping our credit strategy, and overseeing how the business executes it within that appetite, right across the credit lifecycle. You'll spot the risks inthe portfolio before they show up in the numbers, so Monzo Bank Europe can grow fast and keep growing. You'll also lead our credit risk analytics and measurement. You'll direct the development of our IFRS 9 expected credit loss models, make sure our impairment provisions hold up, and turn portfolio data into insight th
About Us: Paytm is India’s leading mobile payments and financial services distribution company. A pioneer of the mobile QR payments revolution, Paytm builds technology that enables small businesses and consumers to participate in the digital economy. Our mission is to serve half a billion Indians and bring them into the mainstream economy through technology. About the Team: The Credit Risk Product Team is at the core of our lending operations, ensuring that our risk assessment models are efficient, scalable, and compliant with regulatory frameworks. The team collaborates closely with data scientists, engineers, and business stakeholders to develop and enhance credit risk models, decisioning frameworks, and risk mitigation strategies. By leveraging advanced analytics and machine learning, the team continuously refines underwriting processes to optimize loan performance and reduce defaults. About the Role: We are seeking a detail-oriented Credit Analyst to join our risk management team. The ideal candidate will be responsible for implementing credit risk policies, optimizing risk policies, and ensuring compliance with regulatory requirements. You will work closely with data scientists, product managers, and credit teams to enhance our underwriting models and decisioning frameworks. Key Responsibilities: * Analyze credit risk across various products, including merchant and personal loans, postpaid. * Liaison with the business team to understand the credit risk policies and implement the same on platform. * Implement the credit risk policies on our proprietary platform. * Monitor performance of credit risk policies. Share feedback with product and Policy team what's working well and what needs improvement. * Utilize alternative data sources, machine learning models, and traditional credit assessment techniques to enhance risk evaluation. * Conduct testing and scenario analysis to measure policy resilience. * Monitor key risk indicators (KRIs) and provide actionable
About Us: Paytm is India’s leading mobile payments and financial services distribution company. A pioneer of the mobile QR payments revolution, Paytm builds technology that enables small businesses and consumers to participate in the digital economy. Our mission is to serve half a billion Indians and bring them into the mainstream economy through technology. About the Team: The Credit Risk Product Team is at the core of our lending operations, ensuring that our risk assessment models are efficient, scalable, and compliant with regulatory frameworks. The team collaborates closely with data scientists, engineers, and business stakeholders to develop and enhance credit risk models, decisioning frameworks, and risk mitigation strategies. By leveraging advanced analytics and machine learning, the team continuously refines underwriting processes to optimize loan performance and reduce defaults. About the Role: We are seeking a detail-oriented Credit Analyst to join our risk management team. The ideal candidate will be responsible for implementing credit risk policies, optimizing risk policies, and ensuring compliance with regulatory requirements. You will work closely with data scientists, product managers, and credit teams to enhance our underwriting models and decisioning frameworks. Key Responsibilities: * Analyze credit risk across various products, including merchant and personal loans, postpaid. * Liaison with the business team to understand the credit risk policies and implement the same on platform. * Implement the credit risk policies on our proprietary platform. * Monitor performance of credit risk policies. Share feedback with product and Policy team what's working well and what needs improvement. * Utilize alternative data sources, machine learning models, and traditional credit assessment techniques to enhance risk evaluation. * Conduct testing and scenario analysis to measure policy resilience. * Monitor key risk indicators (KRIs) and provide actionable
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: Freddie Mac’s Investments & Capital Markets Division is currently seeking a Quantitative Analytics Senior to be responsible for the creation, development, and execution of analytic models used to value Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) of various types of financial institutions. The candidate should be self-motivated, have a strong computational background, and effective communication skills. Under the Models & Analytics team, the candidate will support models primarily utilized by Freddie Mac’s Counterparty Credit Risk Management Team. The key focus is on credit risk scorecard modeling, but the tasks may also include LGD and EAD models. The position encourages continued learning and development across other modeling areas, including market risk capital, operational loss forecast, prepayment and default, and rates and derivatives . Our Impact: Key focus of this job is the design, development, and implementation of counterparty credit risk models for a variety of financial institutions, with primary focus on Probability of Default modeling. These models support multiple corporate and divisional objectives by providing key inputs into counterparty credit risk management, both at individual counterparty and portfolio levels. Y our Impact: Design, code and maintain consistent counterparty credit risk models (PD/LGD/EAD). These models must incorporate best practices while simultaneously accounting for the
We’re hiring engineers. Not ticket-takers. At Anyfin, we’re building financial infrastructure and products used by millions of people across Europe with a deliberately small engineering organisation. That means we care a lot about who we hire. What the role actually looks like This is not a place where engineering sits separately from the business. Small cross-functional teams own their work end-to-end, from identifying problems and shaping solutions to shipping and operating them in production. Engineers here work closely with product, data and commercial teams to solve real-world problems across: Payments Credit decisioning Customer experience Operational tooling Internal AI systems Scaling infrastructure across markets There’s very little ticket-pushing and very few handoffs. We value people who can think independently, make sound tradeoffs and move things forward without unnecessary complexity. Tech TypeScript React / React Native Node.js Python Go GraphQL PostgreSQL BigQuery Kubernetes GCP We also use AI heavily in day-to-day engineering work and product development. AI and machine learning have been part of Anyfin since the beginning, originally through credit assessment models, and increasingly across operations, tooling and product experiences. Today we work with multiple frontier models, build internal AI tooling and agent infrastructure, and are investing heavily in AI-powered financial experiences. Why engineers join Because they want: Real ownership Smart colleagues Modern tooling Complex systems without legacy bank infrastructure Fast decision-making High standards without unnecessary bureaucracy We’re intentionally not building a huge engineering organisation. We’d rather have fewer strong engineers with high trust, high expectations and meaningful impact. About Anyfin Anyfin is a European fintech company helping people improve their financial well-being. We currently operate across multiple European markets and continue to expand rapidly, with ambitio
About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Onboarding team owns the product flows and platform that powers all new customer account creation at Ramp. This includes Ramp's application decisioning system that interfaces with our fraud, compliance, and credit underwriting models. As an engineer here, you’ll own workstreams that expand Ramp's total serviceable market and improve the end-to-end customer onboarding experience. You’ll partner with product, data, and design, and work directly with stakeholders across sales, marketing, risk strategy, operations, and finance to accelerate Ramp’s growth. This role offers the opportunity to have an outsized impact on Ramp’s overall growth trajectory. What You’ll Do Build software to grow Ramp to its next millions of users Scale the output of our application decisioning ops team through automation and AI assistance Drive business outcomes through metric-driven software development Own the customer journey from discovering and applying to Ramp through getting approved for and onboarding to the product What You Need Minimum of 2 years of
About Us Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases.aytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the role: Evangelize and demonstrate the value and impact of analytics for informed business decision making by developing and deploying analytical solutions and providing data driven insights to business stakeholders to understand and solve for various lending business nuances. The Credit Risk Analyst will be responsible for monitoring , analysing and optimising lending portfolios across consumer / merchant lending products. This includes overseeing portfolio health , developing / refining risk strategies and supporting business growth through risk adjusted decision making. Key Responsibilities : - Portfolio Monitoring & Analytics - Risk Strategy & Policy Design - Stress Testing & Risk Containment - Loss forecasting & scenario planning - Product & Growth Partnership - Collections Interface / Strategy - Compliance & Bureau Management Requirements: - 5 to 8 yrs in portfolio risk management function in Fintech/ Banks/ NBFC - Hands on experience in SQL, Python, R, Pyspark - Good understanding of Bureau data, Alternate Data, Scorecards, Digital Lending API's etc - Ability to translate data into clear insights and recommendations - Familiarity with BI tools like Tableau, Looker , Metabase etc - Understanding of machine learning models in credit risk - Strong problem solving and stakeholder management skills
Get new credit model validation manager jobs by email
Daily job updates · Unsubscribe anytime