Experian
We're unlocking the power of data to help create a better tomorrow.
Senior Data Scientist – Alternative Data, AFS Solutions
Location
United States
Posted
17 days ago
Salary
$133.1K - $239.6K / year
Bachelor Degree7 yrs expEnglishNumpyPandasPythonSQL
Job Description
• Lead custom analytics and modeling engagements from scoping through delivery and ongoing support.
• Develop credit strategies and ML models (underwriting, line assignment, pricing, early warning, collections).
• Engineer features from alternative, transactional, and bureau data (e.g., recency, frequency, volatility, trend, and behavioral metrics).
• Evaluate and integrate third‑party/alternative data sources (sub‑prime bureaus, cash-flow, telco, utility, and specialty data).
• Partner with clients to build end‑to‑end credit strategies that balance approvals, losses, efficiency, and customer experience.
• Deliver clear, executive‑ready insights, documentation, and strategy recommendations.
• Present results directly to risk leaders, analytics teams, and senior client partners.
• Support model implementation, monitoring, stability analysis, and ongoing optimization.
• Work cross‑functionally with Product, Engineering, and Sales to align custom solutions with broader AFS capabilities.
Job Requirements
- 7+ years in credit risk analytics, data science, or advanced analytics, with experience in non‑prime or near‑prime lending.
- Hands‑on modeling experience using alternative data.
- Proficiency in Python (Pandas, NumPy, scikit‑learn, XGBoost/LightGBM) for feature engineering, modeling, and analysis.
- Advanced SQL experience working with complex, and imperfect datasets.
- Experience with non‑prime risk dynamics: thin‑file consumers, volatility, fraud risk, early‑default behavior.
- Experience with model evaluation (AUC, KS, lift, bad‑rate curves, stability, PSI).
- Work directly with clients and translate analytics into deployable strategies.
- Explain complex models in clear business terms.
- Background in financial services, alternative lending, FinTech, or specialty finance.
- Experience with AFS data sources (Clarity, FactorTrust, MicroBilt, cash‑flow or specialty bureaus).
- Familiarity with model governance, explainability, and regulatory considerations in non‑prime lending.
- Experience deploying or supporting ML models in production environments.
- Exposure to fraud, identity, or first‑payment‑default (FPD) modeling.
- Experience mentoring junior data scientists or analysts.
- Consult, client delivery, or solution‑oriented project experience.
Benefits
- Great compensation package
- Core benefits including medical, dental, vision, and matching 401K
- Flexible work environment, ability to work remote, hybrid or in-office
- Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
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