Data Scientist
NinjaHoldings
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About the role
Data Scientist
Company: NinjaHoldings
Location: Chicago, IL (remote work available)
Role Overview
Use advanced statistical modeling, analytics, and experimentation to optimize lending decisions and improve portfolio performance. Partner with software engineering and cross-functional teams to operationalize models and deliver actionable insights to senior management.
Key Responsibilities
- Build predictive models to optimize lending decisions using statistical modeling and simulation techniques
- Analyze consumer risk behavior trends, their impact on the portfolio, and associated business opportunities
- Support model implementation with the software engineering team, including post-release checks and analysis
- Develop technical tools and platforms to standardize and streamline model development and monitoring
- Define key performance metrics and create automated reporting dashboards using SQL and Python
- Design A/B testing for models and underwriting strategies; evaluate impact and recommend changes
- Collaborate with cross-functional teams to discover new insights from data
- Communicate concise, actionable strategies to senior management
Requirements
- Bachelor’s degree
- 2+ years of professional experience in data analytics and statistical modeling
- Strong SQL skills and experience with relational databases
- Python programming experience
- Strong quantitative/problem-solving skills and attention to detail
- Experience working cross-functionally in a dynamic environment
Nice to Have
- Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering)
- Experience with specialty finance/FinTech analytics
Benefits / Culture
- Competitive salary and benefits
- Flexible, remote work
- Fast-paced startup environment and opportunity to make an immediate impact
- Downtown Chicago office
About NinjaHoldings
NinjaHoldings, founded in 2017, builds digital banking and lending products through brands like CreditNinja and NinjaCard to help underserved consumers improve their financial lives. It also operates the EDGE brand, providing bespoke underwriting, fraud detection, and analytics services to help companies better understand their customers.
Scraped 6/14/2026