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Associate Manager, Advanced Analytics

1 hour, 42 minutes ago
United States
Full-time
Senior
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 10

Description

  • Own analytics workstreams across portfolio performance, pricing, and operations.
  • Lead portfolio performance and risk-trend analyses, incorporating macroeconomic context and business recommendations.
  • Triangulate quantitative findings with customer behavior, operational signals, and market dynamics to identify risks and opportunities.
  • Lead risk-based pricing strategy and model development to optimize expected loss, yield, and unit economics.
  • Monitor pricing performance, including mix shift, loss curves, and contribution margin, and drive tests and guardrails.
  • Set strategy and KPIs to improve funder, underwriting, and servicing effectiveness.
  • Drive initiatives to reduce delinquency, losses, and roll-rates by turning analyses into prioritized action plans.
  • 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 and recurring business reviews.
  • Coordinate cross-functional stakeholders and work with Technology/Data Engineering, Risk, and Sales on analytics priorities and deliverables.

Requirements

  • Bachelor’s degree in finance, Statistics, Mathematics, Engineering, or a related field is required.
  • 6+ years of experience in Analytics, Data Science, or Statistical Modeling.
  • Advanced SQL experience 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/analytics tools such as Sigma, Tableau, or Power BI.
  • Executive communication and stakeholder management experience.
  • Ability to translate ambiguous business problems into structured analyses and deliver on timelines.
  • Experience in auto finance, fintech/credit, or consumer lending analytics is preferred.
  • Experience with modern data stacks such as Snowflake, Databricks, or AWS is preferred.
  • Deep experience with credit risk, underwriting, and risk-based pricing is preferred.
  • Experience with machine learning principles such as A/B testing, clustering, decision trees, neural networks, principal component analysis, or regression is preferred.

Benefits

  • Compensation includes a $113,503 base salary plus bonus.
  • Generous salaries and competitive health and welfare benefits.
  • Paid vacation.
  • 401(k) match.
  • Tuition reimbursement.
  • Quarterly social outings and monthly lunches.
  • Robust employee recognition and training development program.
  • Remote/anywhere in the U.S. work location.

Interested in this position?

Apply directly on the company website

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