Quantitative Analytics Associate, Fraud Prevention Optimization Strategy

JPMorgan Chase

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Work type
On-site
Location
Wilmington, DE
Posted
26 days ago

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How this pay compares to similar roles

Similar $154k
$115k most similar roles pay here $194k

This listing doesn't post a salary. Most similar roles pay $122,700–$186,187.

Based on 239 similar postings.

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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 510 open roles on FindRole.

Listed pay typically runs $147,250–$205,000 across 269 roles with salary data.

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At a glance

TL;DR · Quantitative Analytics Associate, Fraud Prevention Optimization Strategy

Join our Consumer and Community Banking Fraud Prevention Optimization Strategy team as a Quantitative Analytics Associate I to tackle complex fraud challenges. You’ll leverage advanced analytics and mathematical techniques to reduce fraud costs while enhancing customer experience. Daily tasks include interpreting data, identifying key risk indicators, developing metrics, and implementing optimal strategies across the credit card fraud lifecycle. Collaborate with cross-functional teams to deliver actionable insights and present findings to leadership. Utilize tools like Python, SAS, SQL, AWS, Snowflake, and large language models to drive sustainable business improvements. This role offers a dynamic environment where you’ll contribute to protecting the bank by optimizing processes and decision-making through cutting-edge analytics.

What you'll do

  • Analyze complex data to identify fraud risks and trends, formulating actionable problem statements.
  • Develop and implement optimal fraud strategies using advanced analytics to reduce losses and enhance customer experience.
  • Identify key risk indicators and metrics, enhancing reporting for continuous business practice improvement.
  • Collaborate with cross-functional teams to deliver accurate and timely solutions to complex business challenges.
  • Champion the use of new technologies like large language models to drive scalable business improvements.

What we're looking for

  • Bachelor’s degree in a quantitative field or equivalent quantitative experience.
  • Proficient in Python, SAS, and SQL for data analysis.
  • Strong analytical skills to solve complex business problems.
  • Experience delivering actionable recommendations to leadership.
  • Ability to communicate effectively with cross-functional teams and executives.
  • Knowledge of AWS and Snowflake is preferred but not required.

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