Own end-to-end credit strategy, risk modeling, and portfolio performance for embedded lending products, ensuring seamless translation of data into underwriting decisions.
Drive data integrity, source new signals, and build monitoring frameworks to optimize approval rates and loss performance across all credit products.
Lead a team of seven risk specialists, fostering analytical rigor and accountability while collaborating cross-functionally with Product, Engineering, and Capital Markets.
Lead development of AI-driven credit risk analytics and portfolio management frameworks.
Serve as the connect point between Credit Risk and Capital Markets, translating complex models into investor narratives.
Drive strategic initiatives to enhance risk-adjusted returns and support scalable growth through advanced analytics.
Achieve is a digital personal finance company that helps people move from struggling to thriving through innovative financial solutions. Since 2002, we've grown into one of the largest private consumer fintech unicorns in the U.S. with over 3,000 employees in hybrid and remote roles across the country.
Lead a high-calibre ML team to shape Borrowing's ML roadmap across UK growth, new customer segments, and EU expansion.
Improve underwriting, pricing, limits, and lifecycle decisioning through faster model iteration and new data sources.
Partner with leaders across Credit Strategy, Product, Engineering, and Data to drive commercial impact and long-term strategic advantage.
Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pensions. As a rapidly growing fintech with a strong UK presence, we foster an inclusive culture focused on innovation and customer delight.
Lead four engineers building and maintaining the credit risk modelling platform and surrounding infrastructure.
Raise engineering standards across modelling systems, focusing on reliability, observability, reproducibility, and safe change.
Stay hands-on in the codebase to address ambiguity and cross-system complexity while balancing rigour with speed.
Iwoca provides flexible finance for small and medium-sized businesses, using smart technology and data science to offer responsive funding. With over 100,000 businesses served and £4 billion in funding, their passionate team drives to support one million SMEs, creating lasting impact for communities and economies.
Design, develop, and optimize predictive risk models and decision frameworks across payment rails and cryptocurrency domains.
Partner with Product, Engineering, and Operations to embed model-driven risk decisioning throughout the customer journey.
Conduct deep-dive investigations into fraud events and payment losses, supporting model governance and regulatory review.
Binance.US is a licensed and regulated U.S. crypto platform providing secure access to over 190 cryptocurrencies with low fees. It is a remote-first team of innovators building the bridge between traditional finance and Web3, committed to financial freedom for all.
Drive credit risk frameworks for new acquisition channels including aggregator sites and marketing networks.
Optimize underwriting and real-time decisioning strategies for a seamless customer experience.
Shape product and pricing economics, including NPV modeling and promotional offers.
Monzo is a digital bank on a mission to make money work for everyone, offering personal and business accounts, credit cards, and more. They have a growing team and a culture of data-driven decision making and innovation.
Own credit risk for Gauntlet's $1.5B+ client TVL, defining underwriting standards and frameworks from scratch.
Underwrite institutional credit relationships, build PD/LGD models, and set guardrails for lending products.
Partner with Capital Markets on deal structuring and monitor portfolio performance with stress testing.
Gauntlet builds financial systems of the future, operating across the entire stack to offer vault products for onchain finance. They serve over $1.5B in client TVL across large fintechs, protocols, and asset managers, blending traditional finance with crypto-native expertise.
Serve as a senior technical reviewer across active modeling projects to identify structural risks and provide actionable feedback.
Partner with data science managers and business stakeholders to translate ambiguous business problems into well-scoped modeling applications.
Mentor data scientists and senior modelers, contributing to shared standards and community leadership in data science practices.
Liberty Mutual is a diversified insurer offering a wide range of insurance products to individuals and businesses. The company has a large workforce and fosters a culture focused on innovation, inclusion, and professional development, with a strong emphasis on community and employee well-being.
Develop credit and fraud strategies using data, machine learning models, and advanced analytics to optimize risk decisions.
Design A/B tests to balance risk and customer experience, and partner with Data Science, Product, and Engineering teams.
Analyze portfolio performance at a granular level, identify trends, and communicate findings to Risk Management.
Prosper is a fintech company that pioneered peer-to-peer lending in the US, offering personal loans and credit cards to help consumers achieve financial well-being. Since 2005, it has served over 2 million customers and fosters a culture of collaboration, curiosity, and accountability.
United StatesDominican RepublicCanada
Unlimited PTO
Design, develop and deploy advanced statistical or machine learning models for credit risk, pricing, collections, fraud, and other high-impact business use cases.
Lead end-to-end delivery of data science initiatives from problem framing through deployment and monitoring.
Partner with cross-functional teams including Portfolio Strategy, Engineering, Product, and Sales to integrate models and solve critical business problems.
Forward Financing is a fintech company that unlocks capital for small businesses across America. Since 2012, it has provided over $4.8 billion in funding to more than 92,000 small businesses and is recognized as a Best Place to Work by Built In Boston.
Design, implement, and maintain credit risk models and frameworks aligned with BACEN and IFRS 9 standards.
Monitor and manage retail credit exposures from origination to portfolio performance.
Develop and validate ML/AI-based models for PD, LGD, EAD, and behavioral scoring.
CloudWalk is building the future of payments, operating as a Type 3/Segment S3 financial institution in the payments and acquiring space. The company focuses on risk management and innovation, with a high-performing team that values data, automation, and AI.
Design methodologies to transform raw alternative datasets into AI-ready data products.
Own data quality, metric definitions, and methodology standards for an AI-powered product.
Partner with engineering and product teams to scale data capabilities and drive customer insights.
YipitData provides alternative data and market intelligence to help clients make better business decisions. They foster a growth-oriented culture where advancement is driven by impact, not tenure, and offer a fully remote-friendly environment within the US.
Define the technical strategy and roadmap for credit risk and fraud detection using statistical and ML approaches.
Design, build, and deploy production-quality machine learning models for credit scoring, fraud detection, and risk modeling.
Collaborate closely with Engineering, Product, Risk, and Operations teams to align data science strategy with business goals.
Djamo builds the future of banking in Africa with a super-app that combines payments, transfers, savings, and budgeting. Launched in 2020, the company serves over one million users and is backed by investors like Y Combinator and Partech, fostering a culture of innovation and inclusion.
Analyze and assess risk by examining financial data, transaction patterns, and user behavior to identify fraud, credit, and compliance risks.
Develop and implement risk controls by partnering with product, engineering, and data science teams to build automated decisioning systems.
Contribute to strategic planning by providing insights on risk trends and policy improvements to support company growth.
Found builds tools to give self-employed people the security of big corporations through a business bank account that automates taxes and expense tracking. The company is a growing fintech startup with a diverse team, offering a collaborative culture focused on making a meaningful impact.