Credit Risk Administrator Jobs

About the opportunity N26 is looking for a Head of Product - Core Banking Systems to partner with our Engineering, Treasury, Risk, and Banking Operations teams. In this role, you will own the Core Banking Systems product roadmap and lead a team of product & business managers delivering foundational capabilities that power N26 — from rapid product configuration to balance sheet infrastructure and regulatory reporting. You will work at the intersection of Core Banking architecture, financial data integrity, and compliance on one side, and real-world banking and product challenges on the other. Your mission is to transform Core Banking Systems from a cost center into a composable platform that enables product managers to configure and launch products in days, embeds compliance by design, and lays the foundation for growth beyond N26. You will be the connective tissue between technical platform excellence and business outcomes, ensuring that our core engine powers flawless banking across N26 and eventually external financial institutions. In this role, you will: Own and drive the Core Systems product roadmap across Product Enablement (lending, deposits, payments gateway) and Balance Sheet Infrastructure (financial data products, treasury, books & accounting), balancing near-term execution with long-term strategic horizons. Partner closely with N26 Product Segments and functional stakeholders across Treasury, Credit Risk, Risk Controlling, Accounting, and Regulatory Reporting on priorities, planning cycles, and shared OKRs. Lead the end-to-end product lifecycle for Core Banking initiatives — from self-service product enablement and third-party vendor in-housing through migration, platform scalability, and iteration. Define and roll out core platform best practices across the organization — including product configuration standards (Product Factory), ledger data integrity, evaluation frameworks, and progressive rollout guardrails. Contribute t

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team: The Collections & Credit Risk Recovery team acts as the strategic bridge between creditors and consumers. The team is responsible for managing portfolio health, controlling credit risk across loan buckets, overseeing multi-region collection operations, addressing critical customer escalations, and implementing scalable recovery and repayment strategies across Paytm's digital lending portfolio. About the Role: As a Regional Collections Manager (RCM), you will lead the overall collections performance, portfolio health, and recovery targets for a designated region. You will directly manage a team of Area Collection Managers (ACMs), driving their performance, operational efficiency, and team productivity. This leadership role demands strategic oversight to control flow rates, manage agency ecosystems, handle high-level escalations, and ensure strict adherence to regulatory and compliance guidelines across all areas within the region. Key Responsibilities & Expectations: 1) Regional Target Ownership: Drive regional collection targets, minimize roll-forwards/flow cases, manage non-starters, and maintain portfolio yield across all delinquency buckets (X-Bucket to Write-Offs). 2) Team Leadership & ACM Management: Directly manage, mentor, and track the performance of Area Collection Managers (ACMs). Conduct regular weekly/monthly operational reviews to monitor team productivity, field allocation, and target achievement. 3) Capacity Planning & Resource Allocation: Ensure optimal deployment of internal Collection Executives and external collection agencies ("Feet on Street") based on bucket-wise and segment-wis

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: The Quantitative Analytics Director is a strategic analytics leader responsible for transforming complex data into actionable business insights for senior executives and key stakeholders. This role emphasizes insight generation, decision support, and business impact while requiring strong fluency in quantitative methods, large-scale data analysis, and advanced analytical techniques. The Director will lead the development and implementation of analytical workflows that accelerate insight creation, improve analytical efficiency, and enhance decision-making. A critical responsibility of the role is ensuring these AI capabilities are developed, governed, and deployed in a controlled, transparent, and compliant manner. This position leads a team of analysts and data scientists and serves as a key partner across business, risk, technology, and analytics functions. Our Impact: Our team plays a critical role in helping Freddie Mac understand, anticipate, and manage credit risk across a dynamic mortgage market. By bringing together deep insights on how credit risk intersects with other aspects of our business, we provide timely insights that inform business decisions, strengthens governance, and supports the company’s mission. This is a role with opportunities to shape frameworks, influence cross-divisional outcomes, and engage with senior leaders on issues that matter to Credit Risk Management (CRM) as Freddie Mac balances credit risk and other scorecard items. Y

Job Title: FCD BA · Business Analyst experience working in large complex Programmes within the financial services industry and Cloud (Google Cloud Platform). · Excellent documentation skills, promoting concise and clear written deliverables. · Experience with complex regulatory data models and cross functional solution designs. · Relevant experience within regulatory change in a Finance and Risk context. · Proven track record in dynamic environments, with the ability to manage teams with diverse backgrounds and skillsets, both locally and across regional sites and to maintain a global perspective. · Exceptional drive, motivation and commitment and focus in operational excellence. · Strong decision-making, problem-solving and interpersonal skills including the ability to influence stakeholders. Ability to provide SME knowledge in specific area to continuously improve areas of practice; minimum of a Bachelor’s degree in business, finance, mathematics, related field or equivalent experience. · Advance data interrogation skills using SQL and Excel · Proficient in using Python scripts to perform business analysis on large, high-volume datasets, enabling efficient data processing and insight generation. · Understanding of Basel III/IV and PRA/COREP Regulatory Reporting Requirements · Understanding of the HSBC data (facility, products, risk parameters used for credit risk calculation and reporting) · Ability to design functional solution options and support decision by identify risks/ pros/ cons

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Connect Platform Connect is Stripe’s platform for businesses that serve other businesses. It helps platforms onboard and verify participants, manage accounts, accept payments, and pay out funds without building payments, compliance, or financial services infrastructure themselves. The Connect Risk team builds the risk management capabilities that help platforms operate safely from day one, including onboarding, Know Your Customer (KYC) verification, fraud and credit risk management, and tax reporting. As AI-native platforms and marketplaces emerge, this work helps Stripe support increasingly dynamic global ecosystems. What you’ll do You will own Connected Account Onboarding Experiences, the products and journeys that help platforms onboard their users safely, compliantly, and with minimal friction. You will shape experiences from sign-up and authentication through readiness to use Stripe products, across application programming interfaces (APIs) and hosted or embedded user interfaces (UI). You will use funnel data, user research, and experimentation to improve conversion while meeting Stripe’s commitments to regulators and financial partners. You will set the strategy for what should be standardized or configurable across platform business models, products, and geographies, including opportunities to use artificial intelligence (AI) and agentic interfaces. Responsibilities Set the vision, strategy, goals, and roadmap for Connected Account On

About the Role We are hiring for a Sr. Product Marketing Manager for Chime’s Lending product ecosystem. In this role, you’ll own how we bring to market and position Chime’s growing personal loan product to deliver clear, compelling value for our members. This is an individual contributor role reporting to the Head of Product Marketing, Lending. You’ll partner closely with Product, Risk, Legal, and Growth to shape product narrative, influence roadmap decisions, and drive responsible adoption. This role sits at the intersection of growth and financial responsibility, requiring strong strategic thinking, cross-functional leadership, and the ability to balance business impact with member trust and regulatory considerations. In this role, you can expect to Own and execute go-to-market strategy for Chime’s personal loan product, from launch through iteration and scale. Establish best practices and frameworks for repeatable, high-quality product launches Develop clear, differentiated positioning and messaging that drives customer understanding and adoption Drive cross-functional alignment across Product, Growth, Brand, and Analytics to ensure cohesive execution Influence product strategy and roadmap through customer insights, market understanding, and competitive analysis Own business outcomes: Improve product adoption, engagement, and retention through data-informed marketing strategies Partner with Growth and Lifecycle teams to ensure effective multichannel execution and performance optimization To thrive in this role, you have 6–10+ years of experience in product marketing with at least 3+ years of consumer lending or regulated financial services experience, including exposure to credit risk, underwriting and loan servicing A track record of owning end-to-end go-to-market strategy - segmentation, funnel optimization and measurable business outcomes in a performance-driven environment Strong grounding in product marketing fundamentals: audience insights, competitive inte

If you’ve always dreamt of an exciting career in Banking, Finance and Tech, now’s the time to make it a reality. Over the past decade, increasing regulatory scrutiny has led to the evolution of banking services which now play a critical part in every single stage of the trade lifecycle and the overall client journey. It is now the sharp tip of a bank’s competitive edge. Within Banking Services, it has therefore never been more crucial to get it right and demand for top talent is high. These roles are challenging, demanding attention to detail and a strong client focus, a keen sense of risk and an awareness of the regulations. At mthree, we can provide you with professional, fully paid, completely free training to embark on your career as an mthree Alumni within Banking Services …. and we open doors to world-leading financial institutions. Some of these roles include: Trade Support (Securities, Treasury, Transaction Management) Anti Financial Crime ( Anti Money Laundering, Fraud) Fund Accounting (Fund Accounting Analyst) Derivatives Risk, Regulation and Compliance (Credit Risk, Market Risk, Controls, Reporting) Client Lifecycle Management (KYC/AML, CDD, Risk Assessment,) Regulatory Transformation (Business Analysis, Project Management, Client Outreach) Data (Governance, Management, Remediation, Analysis) Working within Banking Services will offer fulfilment, increased opportunities for progression and the chance to work with new technologies and multiple business lines. This pathway is perfect for you if… You have a 2.2 or above degree You have a genuine interest in Banking and Financial Markets. Degree topics we have seen succeed but not limited to include - Law, Mathematics, Finance, Banking, Economics. Accounting You’re an excellent verbal and written communicator. You’re hungry to learn and upskill. It’s a bonus if you already have experience working in teams in a collaborative environment. The successful candidate must, by the start of t

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

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Machine Learning Engineer on our team, you will be at the forefront of developing high-quality, production-ready models that play a central role in our decision-making processes. Your contributions will be instrumental in shaping our financial landscape. If you have a strong interest in machine learning and enjoy challenging work, Affirm is the place for you! What you'll do Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm Implement and scale data pipelines, new features, and algorithms that are essential to our production models Collaborate with the engineering, credit, and product teams to define requirements for new products What we look for 2+ years of experience as a machine learning engineer or PhD in a relevant field Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk is a plus Strong engineering skills in Python and data manipulation skills like SQL Experience using large scale distributed systems like Spark or Ray Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow Experience developing machine learning models at scale from inception to business impact Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams The ability to

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Product Management Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Mastercard’s Services team is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Role: Advanced Analytics drives AI-based solutions and products at a globally scalable level across different customer lifecycle stages, credit risk management, operational and strategic analytics. Customer engagement and acquisition using our data assets serve as key differentiators to optimize and grow revenue for our retail and comme

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 is seeking a hands-on AI engineering leader to serve as Director within the Single-Family Acquisitions (SFA) division, reporting to the Sr. Director of GenAI Engineering & Enterprise Rules Platform. This role owns the technical core of SFA’s AI Systems Solutioning, including Agent Engineering & Design. This includes (1) the overall design and execution of AI Systems development from Ideation & Business casing to Specification creation & execution through deployment, (2) the evaluation harnesses and graded assessment sets that determine whether an agent or AI System is ready for production, and (3) the operating layer that keeps agents accountable after go-live. The role is approximately 70% hands-on architecture and code and 30% leadership of a GenAI engineering efforts and platform and vendor delivery partners. The Director is forward-deployed by design. The role partners with the divisional GenAI PMO, Enterprise Operations & Technology (EO&T), and Digital Experience, and works alongside the Enterprise Business Rules platform team so that agent-driven and rule-driven decisioning share a common domain vocabulary, evaluation approach, and traceability model. Our Impact Freddie Mac was established by Congress to provide liquidity, stability, and affordability to the U.S. housing market. Within Single-Family Acquisitions, our technology platforms and decisioning systems are foundational to ensuring loans sold to Freddie Mac meet eligibility, credit risk, and regulatory requirements at scale. Your Impact This role is a player / coach model. You wi

About the team Would you like to be part of creating a unicorn within a unicorn? Solve some of the biggest challenges facing the financial inclusion of Bharat? Well, then here’s your chance! Financial Services (FS) is one of the fastest growing new businesses at Meesho. It's a large 10X opportunity for Meesho to build financial products for Bharat users and serve the unmet needs of millions of our users. And you will be at the center of this journey, building and scaling the business and serving millions of Meesho users. Meesho FS has several lines of products primarily in lending space for users and sellers of Meesho. We aspire to create one of the country’s largest financial services businesses, drawing inspiration from global giants such as Alibaba, Shopee, and Mercado Libre, who have thrived in markets comparable to India and built large financial businesses. About the Role In this role, you will own the growth and governance of Meesho's Bank and NBFC partnerships across lending. Your first priority will be to scale existing partnerships by improving funnel performance, monitoring portfolio and risk, and deepening partner relationships. You will also lead new-partner integrations end to end, establish standard and increasingly automated operating processes, and build a qualified pipeline of new partners aligned with the supply roadmap. The role requires close collaboration with growth, credit risk, collections, product, technology, legal, compliance, finance, and operations teams to deliver timely launches and stable scale-up. What you will do Own and grow existing Bank and NBFC partnerships by managing joint business plans, supply, funnel performance, and conversion, and by driving initiatives that increase disbursals and assets under management. Build deep relationships and strong governance with partner stakeholders across senior and working teams. Maintain regular engagement, understand strategic, policy, risk, and operational develo

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Drive cash flow performance and operational excellence as a Collections Analyst at Everpure, serving as a functional ERP subject matter expert and global portfolio owner. In this high-impact position, you will bridge hands-on collections strategy with systems optimization to maximize liquidity and strengthen receivables health. Collaborating cross-functionally with Sales, Billing, Credit, CX, and Legal teams, you will turn complex financial data into proactive strategies that mitigate risk and deliver positive customer outcomes. WHAT YOU'LL DO Drive Portfolio Performance & Cash Flow: Manage a global commercial portfolio end-to-end, executing proactive dunning strategies and prioritizing high-exposure aging accounts to accelerate cash collections and reduce past-due balances. Resolve Multi-Party Disputes & Deductions: Partner with Sales, Billing, and Legal teams to investigate and resolve complex payment discrepancies, credit memo requests, and withholding tax reconciliations, protecting revenue integrity. Optimize ERP & Workflow Systems: Act as the functional ERP subject matter expert for AR and collections workflows, enhancing system usage, dunning automation, and data tracking to streamline operational efficiency across the team. Mitigate Credit Risk & Guide Order Decisioning: Evaluate customer payment trends and financial risk to advise credit teams on order hold/release statuses, balancing comm

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Drive cash flow performance and operational excellence as a Collections Analyst at Everpure, serving as a functional ERP subject matter expert and global portfolio owner. In this high-impact position, you will bridge hands-on collections strategy with systems optimization to maximize liquidity and strengthen receivables health. Collaborating cross-functionally with Sales, Billing, Credit, CX, and Legal teams, you will turn complex financial data into proactive strategies that mitigate risk and deliver positive customer outcomes. WHAT YOU'LL DO Drive Portfolio Performance & Cash Flow: Manage a global commercial portfolio end-to-end, executing proactive dunning strategies and prioritizing high-exposure aging accounts to accelerate cash collections and reduce past-due balances. Resolve Multi-Party Disputes & Deductions: Partner with Sales, Billing, and Legal teams to investigate and resolve complex payment discrepancies, credit memo requests, and withholding tax reconciliations, protecting revenue integrity. Optimize ERP & Workflow Systems: Act as the functional ERP subject matter expert for AR and collections workflows, enhancing system usage, dunning automation, and data tracking to streamline operational efficiency across the team. Mitigate Credit Risk & Guide Order Decisioning: Evaluate customer payment trends and financial risk to advise credit teams on order hold/release statuses, balancing comm

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. Financial Products About the Role The Financial Products org at Adyen is at the forefront of our evolution, building the foundational infrastructure that enables our customers to manage their finances, issue cards, and access credits and financing globally. Adyen is building a Machine Learning Engineering team in San Francisco focused on Credit Risk Modeling for Underwriting within Financial Products. This team will develop the models, scorecards, and production systems that enable Adyen to scale its credit products 100x. As a Staff Machine Learning Engineer you will design, productionize, and operate machine learning models and rule-based decision systems that power credit products. You will work across the full model lifecycle, from research and data analysis to training, deployment, monitoring, and continuous improvement. This role is ideal for an engineer who combines strong machine learning and production engineering experience with sound judgment in high-integrity financial systems. You will help build continuous data flywheels that improve underwriting decisions while balancing rapid product innovation with robustness, explainability, and global scale. We are looking for engineers with a customer-problem-first mindset and experience building reliable ML systems in production. You will work closely with product,