Senior Data Scientist – Credit Risk, Consumer Insights
Posted 2026-05-06
Remote, USA
Full-time
Immediate Start
- Job Description:
- Develop automated reports, dashboards, and insights across the full credit lifecycle.
- Support underwriting, risk management, portfolio monitoring, and credit performance.
- Build credit risk dashboards, reports, and analytics using Python and Tableau.
- Analyze the credit lifecycle (underwriting, performance, delinquency, and collections).
- Develop and automate reporting pipelines and monitoring frameworks.
- Translate analytics into strategies for risk, business, and client teams.
- Perform deep‑dive analyses on credit behavior, defaults, and scoring models.
- Present insights to clients in clear formats.
- Guide clients in using dashboards and analytics for decision‑making.
- Ensure data quality, accuracy, and compliance with reporting standards.
- Improve existing reporting and build new analytics for better forecasting and risk assessment.
- Mentor junior team members on visualization, reporting, and credit analytics.
- Be a trusted advisor in client meetings, presentations, and workshops.
- Requirements:
- 5+ years in credit risk analytics, data science, or BI with credit lifecycle focus.
- Python skills (Pandas, NumPy, SQLAlchemy, and Matplotlib).
- Proficient in Tableau dashboarding and data visualization.
- Experience with credit risk metrics, loan performance, and lifecycle modeling.
- Experience with large datasets and data warehouse environments.
- SQL for ETL and automated reporting.
- Clear communicator, able to simplify complex insights.
- Client-facing experience translating analytics into strategies.
- Background in financial services, FinTech, or lending.
- Experience with ML models for credit risk.
- Familiarity with regulatory reporting in credit/lending.
- Benefits:
- Flexible Time Off: 20 Days