Transform advanced analytics, internal data assets, and market intelligence into compelling narratives.
Work across Analytics, Product, Sales, and Marketing teams.
Manage strategy grounded in data analysis and empirical thoughtfulness.
Use Python and SQL to explore datasets, validate hypotheses, and surface insights.
Develop industry perspectives on credit lifecycle optimization, alternative data, machine learning adoption, portfolio risk, fraud, and regulatory trends.
Create executive‑ready content including industry reports, white papers, sales enablement decks, client POVs, and conference presentations.
Collaborate with Data Science teams to validate assumptions and ensure analytical rigor in published insights.

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, Insights

Key skills