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Senior Manager, Advanced Analytics

6 days, 19 hours ago
United States
Full-time
Lead
Data Scientist
Data Science and Analytics
AWS Databricks Machine Learning Neural Networks Power BI Python R Snowflake SQL Tableau
Apply Now
First Help Financial

First Help Financial

Diversified Financial Services
51-250
Founded 2006
View All Jobs 7

Description

  • Lead and develop a team of data scientists, including prioritizing the analytics backlog, delegating work, coaching, and ensuring high-quality delivery.
  • Partner with the CEO and other C-level executives to shape analytics strategy and deliver measurable business impact.
  • Lead portfolio performance and risk-trend analysis, incorporating macroeconomic context and translating findings into business recommendations.
  • Develop and monitor risk-based pricing strategies and models to optimize expected loss, yield, and unit economics.
  • Track pricing performance, including mix shift, loss curves, and contribution margin, and run tests and guardrails to improve results.
  • Define strategy and KPIs to improve funder, underwriting, and servicing effectiveness across key credit dimensions.
  • Drive initiatives to reduce delinquency, losses, and roll-rates by turning analyses into prioritized action plans with clear owners.
  • Partner with operations leaders to design, measure, and scale collection and servicing strategies through experimentation.
  • Standardize and automate reporting, data-quality monitoring, and governance for metrics, definitions, and recurring business reviews.
  • Collaborate with Technology/Data Engineering, Risk, and Sales to build scalable datasets, support underwriting and pricing decisions, and measure program impact.

Requirements

  • Bachelor’s degree in finance, Statistics, Mathematics, Engineering, or a similar field is required.
  • 10+ years of experience in Analytics, Data Science, or Statistical Modeling.
  • 3+ years of experience managing and developing analysts or data scientists.
  • Advanced SQL and experience with a data scripting language such as Python, SAS, or R.
  • Experience working with modern cloud warehouses and large-scale datasets.
  • Proficiency with BI and analytics tools such as Sigma, Tableau, or Power BI.
  • Strong executive communication and stakeholder management skills.
  • Ability to translate ambiguous business problems into structured analyses and deliver on timelines.
  • Preferred experience leading analytics teams in auto finance, fintech/credit, or consumer lending.
  • Preferred experience with modern data stacks such as Snowflake, Databricks, or AWS.
  • Preferred deep experience with credit risk, underwriting, and risk-based pricing.
  • Preferred experience with machine learning methods such as A/B testing, clustering, decision trees, neural networks, principal component analysis, and regression.

Benefits

  • Total compensation package of $185,346 plus a Long Term Incentive Plan.
  • Generous salaries and competitive health and welfare benefits.
  • Paid vacation and a 401(k) match.
  • Tuition reimbursement and training/development support.
  • Quarterly social outings and monthly lunches.
  • A robust employee recognition program.
  • Remote/anywhere-in-the-U.S. work location.
  • A healthy work-life balance and growth-focused career development support.

Interested in this position?

Apply directly on the company website

Apply Now

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