обновлено 5 дней назад
Senior Data Scientist (Credit Risk)
165 000 - 185 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Credit Risk) (Python/SQL/Fintech): Building and enhancing credit risk models, portfolio monitoring pipelines, and loss forecasts for consumer lending portfolios with an accent on statistical modeling, pricing analytics, and risk governance. Focus on analyzing portfolio trends, automating model monitoring, performing stress and scenario analyses, and communicating actionable insights to business stakeholders.
Location: Hybrid work from the San Mateo, California office; role is based in the United States
Salary: $165,000–$185,000 per year, plus bonus and benefits.
Company
is a digital personal finance company providing personalized financial solutions including personal loans, home equity loans, debt consolidation, financial tools, and education.
What you will do
- Build, maintain, and enhance credit risk models and policies for consumer lending portfolios.
- Extract, clean, and analyze large datasets using Python and SQL, and build monitoring pipelines and analytics.
- Conduct exploratory analysis of portfolio trends, loss drivers, model deviations, and emerging risks.
- Maintain monthly and quarterly loss forecasts by vintage and segment, including stress, scenario, and sensitivity analyses.
- Automate reporting and dashboards, document model methodologies, and produce audit-ready deliverables.
- Support model governance and validation, and communicate risk insights to Capital Markets, Marketing, auditors, and regulators.
Requirements
- At least 8 years of hands-on experience in credit risk modeling and portfolio monitoring.
- Strong Python and SQL programming skills for analysis, modeling, and automation.
- Background in probability and statistics, pricing, price optimization, and related analytics.
- Experience with scorecards, XGBoost, time-series analysis, vintage modeling, roll-rate curves, survival analysis, or logistic regression in consumer credit risk.
- Strong analytical, critical-thinking, communication, and documentation skills, including audit-ready model deliverables.
- Master’s degree in Economics, Statistics, Mathematics, Data Science, or a related quantitative discipline; a PhD is preferred.
Nice to have
- Experience in personal loans, credit cards, or fintech lending.
- Experience with credit decisioning engines such as Oscilar or TakTile, CKLightbox, or GCP.
- Experience working in an agile environment and collaborating across teams.
Culture & Benefits
- 401(k) with employer match.
- Medical, dental, and vision coverage with HSA and FSA options.
- Competitive vacation and sick time, plus dedicated volunteer days.
- Wellness support through an Employee Assistance Program and physical and mental health programs.
- Pet care discounts, hardship assistance through the Care Fund, and employee resource groups supporting diversity and inclusion.
- H1-B visa transfer or sponsorship and STEM-OPT visa sponsorship are not available.
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