Senior Manager, Advanced Analytics

First Help Financial•Needham, MA

1d•Remote

About The Position

The Senior Manager, Advance Analytics will partner closely with the CEO and other C-level executives to shape analytics strategy and drive measurable business impact. You will lead and develop an analytics team of data scientists prioritizing the roadmap, delegating responsibility, and ensuring timely, high-quality delivery across portfolio, pricing, and operational analytics. You will connect internal and external data to surface emerging risks and opportunities, translate insights into clear executive recommendations, and raise the bar on analytical rigor, data governance, and stakeholder communication.

Requirements

Bachelor’s degree in finance, Statistics, Mathematics, Engineering or similar is required.
10+ years of experience in Analytics, Data Science, or Statistical Modeling, including 3+ years managing and developing analysts/data scientists.
Advanced SQL and data scripting language (Python, SAS, R) experience; comfortable working with modern cloud warehouses and large-scale datasets.
Proficiency with BI/analytics tools (e.g., Sigma, Tableau, Power BI) and the ability to operationalize metrics into decision.
Executive communication and stakeholder management experience; able to influence decisions with clear narratives and recommendations.
Ability to translate ambiguous business problems into structured analyses, prioritize workstreams, and delegate effectively to deliver on timelines.

Nice To Haves

Prior experience leading analytics teams in auto finance, fintech/credit, or consumer lending.
Experience with modern data stacks (e.g., Snowflake, Databricks, AWS) and productionizing analytics workflows.
Deep experience with credit risk, underwriting, and risk-based pricing (loss forecasting, pricing guardrails, and performance monitoring).
Experience with machine learning principles such as A/B testing, association analysis, clustering, decision trees, neural networks, principal component analysis, regression, etc.

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).