Be the day‑to‑day analytics partner for clients on credit strategy, risk optimization, and portfolio performance
Translate client goals into clear analytical questions, project plans, and structured workflows
Use Python and SQL to explore data, validate hypotheses, and support analytical workflows developed by Data Science teams
Contribute to the development of credit strategies, policy rules, and models across underwriting, account management, pricing, and collections
Conduct segmentation and performance deep dives to identify applicable client opportunities
Interpret model outputs and analytical findings, turning them into clear recommendations aligned with client goals and constraints
Produce client‑ready deliverables, including presentations, dashboards, summaries, and executive readouts
Present insights to client partners, including risk, analytics, and business leaders
Support Sales and Account teams with pre‑sales analytics, POVs, and proposal inputs
Work with our teams (Data Science, Product, Engineering) to ensure client requirements are understood and delivered
Support post‑implementation work such as monitoring, performance tracking, and strategy optimization
Ensure analytical work follows data quality, governance, and regulatory expectations

3–6 years of experience in analytics, consulting, credit risk, or financial services
Proficiency in Python (Pandas, NumPy, basic modeling/visualization) for analysis
SQL skills for querying, validating, and analyzing large datasets
Familiarity with credit risk, portfolio analytics, and the credit lifecycle
Experienced working with scores, attributes, segments, and performance metrics
Convert analytical results into clear, business‑focused recommendations
Experienced working directly with clients or partners in consulting or professional services
Experienced in credit risk, FinTech, or decisioning platforms
Familiarity with model performance metrics (AUC, KS, lift, stability, and bad‑rate curves)
Experienced supporting machine learning or scorecard‑based model development
Exposure to visualization tools (Tableau, Power BI, Looker)
Experienced supporting pre‑sales, pilots, or proof‑of‑value engagements

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

Principal Consultant – Analytics, Credit Strategy

Key skills