Lead and mentor a team of quantitative professionals while personally executing rigorous validations of machine learning models for underwriting and credit risk.
Evaluate conceptual soundness, data integrity, and performance stability through comprehensive testing, in-depth reviews, and continuous monitoring.
Collaborate with cross-functional stakeholders to enhance the enterprise-wide Model Risk Management framework and ensure compliance with internal and regulatory standards.
Affirm is a financial technology company that provides buy now, pay later services without hidden fees or compounding interest. It is a publicly traded, remote-first company with a large workforce and a culture focused on innovation, risk management, and putting people first.
Conduct rigorous, independent validations of sophisticated credit/fraud models, including machine learning and traditional statistical models.
Develop automated, independent monitoring suites in Python to track KRI/KPI drift, population stability, and feature importance shifts in real-time.
Partner with model developers to drive remediation of validation findings and ensure models are mathematically robust and compliant.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest. The company is a remote-first firm with a focus on competitive benefits and an inclusive culture.
Lead, grow, and develop a team of 3+ data scientists and governance professionals.
Own the fundamentals of model governance: performance monitoring, drift monitoring, fair lending assessments, validation, and more.
Set the strategy for the function, including automation, standardization, and customer relationships.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. They are a rapidly growing company backed by world-class investors, with offices across the US and India.
Develop underwriting strategies for the assigned loan portfolio to improve performance and achieve business objectives.
Build dashboards and automate complex queries to monitor portfolio performance and enhance credit risk insights.
Interface with the Modeling/Scoring team to deploy risk strategies based on new models and improve deployment effectiveness.
Attain Finance brings over 50 years of expertise in providing credit solutions across the U.S. and Canada. They are a leading consumer credit lender with a portfolio including brands like Cash Money, LendDirect, and Heights Finance.
Derive insights and support strategy by leveraging data analytics to optimize product, risk, or growth strategies.
Monitor portfolio health by tracking performance metrics, user behavior, and macroeconomic trends.
Write clean SQL and Python to build scalable reporting and partner with Engineering on machine learning and risk models.
Affirm is a fintech company reinventing credit by offering buy now, pay later solutions with no hidden fees or compounding interest. With a focus on honest and friendly consumer finance, Affirm is a large, remote-first company that values diversity and employee wellbeing.
Build and deploy machine learning models for credit and fraud risk management.
Collaborate with engineering to deploy models into production and analyze portfolio performance.
Communicate findings to stakeholders and develop internal tools for data science productivity.
Prosper is a fintech company that offers personal loans and credit cards through a digital marketplace. They have helped over 2 million customers and emphasize a collaborative, inclusive culture with flexible work options.
Evaluate sophisticated machine learning models, traditional quantitative models, and emerging Generative AI applications.
Partner with cross-functional teams to maintain model inventories, risk assessments, and governance materials.
Translate complex technical concepts into clear insights for stakeholders and support regulatory readiness.
A growing technology-driven banking environment focused on consumer lending and financial services. The company emphasizes a remote-first culture, cross-functional collaboration, and inclusive workplace practices.
Set the pricing methodology and own the risk strategy conversation with senior leadership.
Turn a monitoring function into a decision engine by designing decision systems and driving them to adoption.
Architect the data foundation for Risk Analytics using dbt and Snowflake, and mentor senior data scientists.
Extend provides AI-driven post-purchase solutions for retailers, including automated customer service, returns, and fraud detection. Backed by prominent technology investors and headquartered in San Francisco, they work with over 1,000 merchant partners across multiple industries.