Risk Analyst
August 16
🏢 In-office - San Francisco
Description
• Build and manage credit policy for our new and current brand partners. • Develop and enhance our proprietary in-house risk models to predict loss behavior. • Perform quantitative analysis to understand vectors of risk and fraud behaviors. • Create rules and strategies around mitigating fraud at all levels - applications, account management and transactions. • Run A-B testing to optimize Cardless’s business processes and strategies.
Requirements
• 3+ years of experience in credit risk in the consumer credit space. • Excellent analytical skills and experience querying large datasets - fluency in SQL and Excel are must haves. • Knowledge of statistical packages in other programming languages such as Python, SAS or R are a bonus. • Experience with experimental design and A-B testing. • Familiarity with data pipelining, data modeling and ETL processes. • Ability to tell clear stories using data. • Strong understanding of the consumer credit space and familiarity with fair lending regulations such as ECOA, FCRA and TILA. • Effective oral, written and interpersonal communication skills. • Experience working with banking partners and third party data vendors is a bonus.
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