Associate Manager, Advanced Analytics
New
F
First Help FinancialFinTech
Remote/Anywhere in the US.Full-TimeManager
Salary113503 USD per year
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Job Details
- Experience
- 6+ years of experience
- Required Skills
- PythonSQLMicrosoft Power BITableauR
Requirements
- Bachelor’s degree in finance, Statistics, Mathematics, Engineering or similar
- 6+ years of experience in Analytics, Data Science, or Statistical Modeling
- Advanced SQL experience
- Data scripting language experience (Python, SAS, R)
- Comfortable 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 decision
- 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 work and deliver on timelines
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 analytics workstreams by prioritizing deliverables, coordinating across stakeholders, and ensuring high-quality, timely execution.
- Partner with Technology/Data Engineering to define the data and tool roadmap (warehouse/BI/ML enablement) and deliver scalable, AI-ready datasets.
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