Quantitative Analytics Associate, Fraud Prevention Optimization Strategy
Quick summary
- Work type
- On-site
- Location
- Wilmington, DE
- Posted
- 24 days ago
- Nearby
- 99+ roles within 25 mi
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has 439 open roles on FindRole.
Listed pay typically runs $152,000–$215,000 across 233 roles with salary data.
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At a glance
TL;DR · Quantitative Analytics Associate, Fraud Prevention Optimization Strategy
Join our dynamic Consumer and Community Banking Fraud Prevention Optimization Strategy team as a Quantitative Analytics Associate I to tackle complex fraud challenges. You’ll use advanced analytics and mathematical techniques to reduce fraud costs while enhancing customer experience by optimizing business processes. Daily tasks include interpreting data, identifying key risk indicators, developing metrics, and collaborating with cross-functional teams to deliver actionable insights. You will leverage tools like Python, SAS, SQL, AWS, Snowflake, and large language models to drive sustainable improvements. This role offers opportunities to work on critical projects, communicate complex analyses effectively to leadership, and champion the use of cutting-edge technology in fraud prevention strategies.
Skills
What you'll do
- Analyze complex data to identify fraud risks and trends.
- Develop and implement optimal strategies to reduce fraud losses.
- Enhance reporting and metrics to improve business practices.
- Communicate key insights and performance data to partners.
- Champion the use of advanced technologies like large language models.
- Collaborate with cross-functional teams on critical projects.
What we're looking for
- Strong background in quantitative fields such as engineering, statistics, or mathematics.
- Proficiency in Python, SAS, and SQL for data analysis.
- Experience delivering actionable recommendations to leadership.
- Advanced analytical skills including machine learning and large language model prompting.
- Ability to interpret complex data and communicate insights effectively.
- Hands-on knowledge of AWS and Snowflake (preferred).
- Self-starter with strong problem-solving and communication abilities.