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.
Recommend underwriting, line, and policy changes to grow approvals and usage using internal and external data.
Develop cross-product credit profiles and identify signals for better credit decisions.
Design and analyze experiments, turning results into strategic recommendations for portfolio growth.
OnePay is a consumer fintech platform offering banking, savings, credit, lending, investing, and crypto services. Backed by Walmart and Ribbit Capital, the company has a fast-paced, mission-driven culture with a focus on innovation and growth.
Develop, implement, and improve credit risk frameworks using data-driven insights to support business growth and responsible lending decisions.
Analyze credit risk trends, portfolio performance, and account activity to identify opportunities to reduce losses and improve risk management.
Collaborate with cross-functional teams including product, engineering, data science, and finance to develop and scale lending products across different markets.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It uses automated systems to review applications and share top-fitting profiles with employers, facilitating efficient and objective hiring processes.
Own the full lifecycle of statistical and machine learning model development, from data exploration to deployment.
Improve efficiency in credit risk, fraud, marketing, and collections by deploying modeling solutions.
Research and develop new methods and tools to improve the business and present results to leadership.
Attain Finance is a consumer credit lender with over 50 years of expertise providing credit solutions across the U.S. and Canada. The company is a leading lender with a dynamic, collaborative culture and a portfolio of distinguished brands.
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.
Develop statistical and machine learning models for credit and risk applications.
Conduct all stages of model development from data exploration to deployment.
Collaborate with cross-functional teams to translate business needs into analytical solutions.
Experian is a global data and technology company that drives opportunities for people and businesses worldwide. With 25,200 employees across 32 countries, it fosters an inclusive, purpose-driven culture recognized as a Great Place to Work.
Use SQL and other analytical tools to conduct in-depth analysis of customers, transactions, alerts, and risk ratings.
Develop, tune, and maintain transaction monitoring and sanctions screening models to improve detection and reduce false positives.
Partner with compliance, product, and data leaders to translate regulatory requirements into effective analytical frameworks.
Mercury is building a complete finance stack for startups, providing banking services through partner banks. As a fintech company, they focus on creating a safe and easy banking experience while protecting against bad actors, with a culture of high agency and adaptability.
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.
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.
Pipe builds embedded capital for small businesses through credit products inside software platforms like vertical SaaS and marketplaces. It is a remote-first team with 250% ARR growth year over year, partnerships with major brands like Uber Eats, and a culture of high trust and no ego.
Responsible for the organization's overall liquidity management and enterprise corporate cash forecast.
Enhance cash forecast model effectiveness by integrating data from financial systems and forecasting sources and uses of cash.
Perform back-testing of forecast to identify and implement improvement opportunities.
Oportun is a mission-driven financial services company that provides affordable credit and financial tools to underserved communities. With over $21.3 billion in credit provided and more than 2,000 employees, it fosters an inclusive culture with employee resource groups.
Leverage advanced analytics, machine learning, and large-scale data to design innovative risk solutions and tackle complex fraud challenges.
Work closely with clients and cross-functional teams to optimize decision-making and improve product performance.
Drive a data-first culture by promoting analytical thinking and data-driven decision-making across teams and client engagements.
Our partner is a fast-growing, remote-first company at the forefront of fraud prevention and financial risk intelligence. They offer a high-growth international environment with world-class professionals and a supportive culture.
Manage the development and execution of the Credit Risk Review Continuous Review program for assigned Commercial or Consumer business units.
Analyze and assess credit risk in complex borrowers and portfolios, present findings to senior leaders, regulators, and auditors.
Demonstrate advanced understanding of lending, credit risk, regulatory issues, and bank policies to ensure effective risk monitoring and mitigation.
Fifth Third Bank is a regional bank dedicated to helping individuals, families, businesses, and communities grow through smart financial services. Since 1858, it has focused on innovation, customer care, and community support, aiming to be the nation's highest performing and most trusted regional bank.