Manage our strategy, grounded in data analysis and empirical thoughtfulness.
Use Python and SQL to independently explore datasets, validate hypotheses, and surface unique insights.
Translate analytical findings, model outputs, and product capabilities into clear, market‑facing narratives that demonstrate value.
Develop industry perspectives on credit lifecycle optimization, alternative data, machine learning adoption, portfolio risk, fraud, and regulatory trends.
Support large strategic sales opportunities with analytical framing, benchmarks, and data‑driven proof points that strengthen value propositions.
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, interpret model behavior, and ensure analytical rigor in published insights.
Identify new industry trends using both qualitative indicators and quantitative evidence.
Represent us externally, presenting Experience researching and generating leads grounded insights to senior client and industry audiences.

Requirements

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
Experience in leadership, market analytics enablement roles
Familiarity with machine learning concepts and their application in decisioning systems
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
Experience speaking at conferences or industry forums.

Benefits

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLPandasNumPySciPydata analysisdata-driven decisioningmodel performance metricsmachine learningcredit risk

Soft Skills

leadershipcommunicationcollaborationanalytical thinkingpresentation skillsstrategic thinkingstorytellingclient engagementmarket analytics enablementinsight generation