Sr Data Scientist - Credit Risk ModelerAnalytic Recruiting Inc. • San Francisco, CA
Sr Data Scientist - Credit Risk Modeler
Analytic Recruiting Inc. • San Francisco, CA
[job_card.30_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]Quant degree 5+ years of experience in credit risk, consumer lending, or underwriting analytics. Advanced proficiency in Python, SQL, and modeling libraries (e.g., scikit-learn, XGBoost). Strong foundation in statistics, probability, and predictive modeling. Experience with unstructured data and feature engineering. Excellent communication skills and ability to translate complex findings into actionable insights. Experience with fraud detection systems or income verification platforms. Familiarity with financial services regulation and compliance. Prior work in a startup or fast-paced tech environment.
Job Description :
A fast-growing Series A fintech company is reshaping consumer lending through data-driven underwriting and fraud prevention. As Lead Data Scientist , you’ll spearhead the development of predictive models that enhance credit risk segmentation, elevate underwriting precision, and drive the creation of new decisioning products. Your work will directly influence how financial access is delivered : reducing exposure, uncovering hidden risk signals, and powering scalable solutions that advance the platform’s capabilities.
Responsibilities :
- Design, implement, and validate credit risk models using statistical and machine learning techniques.
- Lead initiatives to improve underwriting accuracy, reduce false positives, and uncover hidden fraud signals.
- Collaborate with engineering and product teams to deploy models into production.
- Analyze consumer behavior and lending patterns to refine risk segmentation.
- Develop and maintain dashboards and reporting tools to monitor model performance.
- Stay current with regulatory trends and ensure models meet compliance standards.
Requirements :
Preferred :
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