Engineer and validate consumer-level attributes from credit bureau and alternative data sources
Apply statistical techniques to uncover insights and improve predictiveness
Monitor attribute performance for stability, compliance, and accuracy
Build dashboards and visualizations (Tableau) to communicate findings
Collaborate with engineering to productionalize prototypes into scalable solutions
Partner with product, risk, and business teams to maximize impact across marketing, risk assessment, and collections
Engage with clients to explain analytics and translate technical results into applicable business insights

Master's degree in a quantitative field (Statistics, Data Science, Economics, Computer Science)
5+ years in data science or advanced analytics within credit or financial services
Python and SQL skills; experience with Tableau or similar BI tools
Experience with credit bureau and alternative data
Experience designing and deploying consumer attributes for production
Client-facing experience in analytics or credit risk
Familiarity with AWS or other cloud platforms
Knowledge of regulatory compliance and data privacy in credit contexts

Great compensation package and bonus plan
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

Data Engineering Analyst Lead – Scientist

Key skills