Risk (Data) Analyst
Core
Shape and execute credit and fraud risk strategies across BNPL products, analyzing large datasets to monitor portfolio performance and balance growth with risk.
Role type
Risk (Data) Analyst
Builds
Credit and fraud risk strategies, risk models, and portfolio monitoring reports for BNPL products.
Domain
Fintech / Consumer Lending / BNPL
Deliverable
production ML models
Required skills
SQL, Python, credit risk analysis, fraud analytics, consumer lending knowledge, data modeling, portfolio performance monitoring, risk strategy design
Preferred skills
BNPL domain experience, cross-functional collaboration, automation of risk operations
Responsibilities
Analyze credit and fraud risk performance across customer segments and products; Develop and optimize risk strategies to improve approval rates and reduce losses; Monitor key risk indicators and portfolio trends; Contribute to the design and rollout of new risk models and policies; Collaborate with cross-functional teams to support launches in new markets and verticals; Drive automation and efficiency in risk operations and reporting