Quantitative Analytics Associate - Collections & Recovery

Testing Site - JPMC; Wilmington (DE); Hybrid; USD 85,000 - 110,000; Full time

Job summary

Chase’s Analytics and Business Strategy Execution team seeks a Quantitative Analytics Associate to support data-driven decisions impacting collections and recovery operations. You will leverage data governance, predictive analytics, data science and ML to understand behavior and optimize strategies.

The role emphasizes collaboration with Ops, Risk, Finance, Legal, Compliance and Technology in an agile environment, with a hybrid work schedule and focus on operational efficiency and cost

Qualifications

• Bachelor’s degree in a quantitative field with 1+ years of analytical experience.
• Experience with SQL, SAS, R, Python, Alteryx and Tableau.
• Ability to collect, analyze and communicate insights from large datasets.

Responsibilities

• Support data-driven decisions with robust analytics and reporting.
• Monitor trends and understand business drivers to guide strategy.
• Apply AI and design thinking to improve efficiency and resilience.
• Collaborate across functions to optimize ROI and manage risks.
• Present data with clear narratives and visualizations for decision-makers.
• Become a SME and trusted partner influencing business direction.

Skills

Statistics knowledge

Finance

Analytics

Predictive modeling

Machine learning

Data governance

Education

Bachelor’s degree in Statistics, Economics, Econometrics, Operations Research, Mathematics, Finance or equivalent

Master’s degree in a relevant field

Tools

SQL

SAS

R

Python

Alteryx

Oracle/Teradata

Tableau

Job description

Chase’s Analytics and Business Strategy Execution team seeks a Quantitative Analytics Associate to support data-driven decisions impacting collections and recovery operations. You will leverage data governance, predictive analytics, data science and ML to understand behavior and optimize strategies.

The role emphasizes collaboration with Ops, Risk, Finance, Legal, Compliance and Technology in an agile environment, with a hybrid work schedule and focus on operational efficiency and cost