Lead strategy and execution for foundational Merchant Risk initiatives including taxonomy development and risk segmentation frameworks
Partner with Product and Engineering to design and build scalable operational tools and machine learning (ML) powered risk controls
Translate operational risk needs into clear technical requirements and influence roadmap prioritization
Conduct exploratory data analyses to uncover emerging risk patterns and inform control design
Define and evolve long-term tooling strategy to drive efficiency, scalability, and risk mitigation
Support and enhance the credit risk program, ensuring effective indicators, controls, and lifecycle interventions that balance risk appetite and customer experience
Requirements
Experience in credit risk, risk operations, underwriting, or related analytical roles; experience in Marketplace, Payments, or FinTech is a plus
Strong analytical and systems-thinking skills, with the ability to connect upstream risk signals to downstream operational and technical controls
Experience supporting or owning ML operations, including labeling strategies, model performance monitoring, and implementation of risk controls
Demonstrated experience partnering closely with Product and Engineering teams to define requirements, evaluate tooling, and deliver scalable solutions
Proficiency in SQL and data visualization tools (e.g., Looker, Tableau); experience with Python, R, automation, or GenAI applications is a plus.
Tech Stack
Python
SQL
Tableau
Benefits
Equity package
Annual performance bonus
Competitive benefits that support you and your family