Lead the team in transforming advanced analytics, internal data assets, and market intelligence into compelling narratives
Work across Analytics, Product, Sales, and Marketing
Manage strategy grounded in data analysis and empirical thoughtfulness
Use Python and SQL to explore datasets, validate hypotheses, and surface insights
Translate analytical findings and model outputs into market‑facing narratives
Develop industry perspectives on credit lifecycle optimization, machine learning adoption, and regulatory trends
Support large strategic sales opportunities with analytical framing and data‑driven proof points
Create executive‑ready content including industry reports, white papers, and conference presentations
Collaborate with Data Science teams to validate assumptions and ensure analytical rigor

8+ years of experience in data science, analytics, credit risk, product strategy, or financial services consulting
Proficiency in Python (Pandas, NumPy, SciPy, and visualization libraries) for exploratory analysis generation
Advanced SQL skills for querying large datasets and validating metrics across complex data sources
Experience with data‑driven decisioning, analytics, and the credit lifecycle
Experience interpreting model performance metrics (AUC, KS, lift, stability) and translating them into business possible effects
Understanding of regulatory and compliance considerations related to data usage and analytics
Experience with large‑scale data platforms, credit attributes, scores, or decision engines
Background in client‑facing consulting, pre‑sales analytics, or strategy roles

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

Senior Manager, Thought Leadership and Insights

Key skills