Role Summary 

Hands-on data scientist on the data science and model development team, focused on building the machine-learning and statistical models that power our consumer lending decisions. You will develop credit risk models for underwriting and portfolio risk decisioning, as well as models across fraud risk, marketing response and propensity, customer lifecycle management, collections prioritization, account management, and pricing, line, and offer optimization. You will execute and influence the model roadmap set with business partners, owning the technical craft of individual models end to end: framing the problem, engineering features, training and validating models, documenting your work for model risk review, and shipping models that hold up in production. You turn data into reliable, well-governed models and translate their outputs into clear recommendations for the partners who own credit, fraud, marketing, and collections strategy. 

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