Senior Manager, Advanced Analytics
New
F
First Help FinancialAuto Lending
Remote/Anywhere in the USFull-TimeManager
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 10+ years
- Required Skills
- AWSPythonSQLMachine LearningMicrosoft Power BISnowflakeTableauA/B testingDatabricksR
Requirements
- Bachelor’s degree in finance, Statistics, Mathematics, Engineering or similar.
- 10+ years of experience in Analytics, Data Science, or Statistical Modeling.
- 3+ years managing and developing analysts/data scientists.
- Advanced SQL experience.
- Experience with data scripting languages (Python, SAS, R).
- Comfort working with modern cloud warehouses and large-scale datasets.
- Proficiency with BI/analytics tools (e.g., Sigma, Tableau, Power BI).
- Ability to operationalize metrics into decisions.
- Executive communication and stakeholder management experience.
- Ability to influence decisions with clear narratives and recommendations.
- Ability to translate ambiguous business problems into structured analyses.
- Ability to prioritize workstreams and delegate effectively.
- Prior experience leading analytics teams in auto finance, fintech/credit, or consumer lending (differentiating factor).
- Experience with modern data stacks (e.g., Snowflake, Databricks, AWS) and productionizing analytics workflows (differentiating factor).
- Deep experience with credit risk, underwriting, and risk-based pricing (loss forecasting, pricing guardrails, and performance monitoring) (differentiating factor).
- Experience with machine learning principles such as A/B testing, association analysis, clustering, decision trees, neural networks, principal component analysis, regression (differentiating factor).
Responsibilities
- Lead portfolio performance and risk-trend analyses, incorporating macroeconomic context and translating results into business recommendations.
- Provide insights beyond core datasets by triangulating quantitative findings with customer behavior, operational signals, and market dynamics.
- Lead risk-based pricing strategy and model development to optimize expected loss, yield, and unit economics across acquisitions and originations.
- Monitor pricing performance (mix shift, loss curves, contribution margin) and drive tests/guardrails to improve outcomes.
- Set strategy and KPIs to improve funder, underwriting, and servicing effectiveness across key credit dimensions.
- Drive initiatives to reduce delinquency, losses, and roll-rates—translating analyses into prioritized action plans with clear owners.
- Partner with operations leaders to design and measure collection and servicing strategies, scaling what works through experimentation.
- Standardize and automate reporting and data quality monitoring; establish governance for definitions, metrics, and recurring business reviews.
- Lead a team of data scientists by prioritizing the analytics backlog, delegating responsibility, coaching, and ensuring high-quality delivery.
- Partner with Technology/Data Engineering to define the data and tool roadmap (warehouse/BI/ML enablement) and deliver scalable, AI-ready datasets.
- Align with Risk on underwriting, credit strategy, and risk-based pricing—setting guardrails, monitoring model performance, and driving iterative improvements.
- Partner with Sales to provide analytics support for program enhancements (performance readouts, opportunity sizing, and measurement of impact).
View Full Description & ApplyYou'll be redirected to the employer's site
