Quant Analytics Associate I, Fraud Strategy

JPMorgan Chase

Quick summary

Work type: On-site
Location: Wilmington, DE
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $152k

$111k most similar roles pay here $193k

This listing doesn't post a salary. Most similar roles pay $119,050–$185,400.

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 · Quant Analytics Associate I, Fraud Strategy

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Join the Point of Sale Fraud team as a Quantitative Analytics Associate and leverage your expertise in risk analysis to drive fraud prevention strategies. Your daily tasks will include interpreting complex data sets, developing optimal fraud policies, and collaborating with cross-functional teams to enhance risk mitigation processes. Utilize Python, SAS, and SQL to manage large datasets, identify key risk indicators, and deliver actionable insights to senior management. With a background in quantitative disciplines and experience in financial services, you will contribute to the development of new detection tools while ensuring data integrity and clear communication across various departments. This role demands strong analytical skills, problem-solving abilities, and the capacity to influence strategic decisions within a high-stakes environment focused on reducing fraud losses and improving customer experiences at the point of sale.

Skills

Python SAS SQL Machine_Learning LLMs

What you'll do

Interpret complex data to identify fraud trends and opportunities.
Develop and implement optimal fraud strategies to protect the bank and enhance customer experience.
Identify key risk indicators and metrics to improve reporting accuracy.
Provide subject matter expertise on strategy implementation and infrastructure improvements.
Perform data mining and analysis to deliver actionable insights to senior management.

What we're looking for

Bachelor's degree in a quantitative discipline or equivalent work experience
At least 2 years of experience in fraud/risk/payments or related field
Proficiency in Python, SAS, and SQL for data analysis
Strong analytical skills and ability to deliver actionable insights
Experience presenting findings and recommendations to senior management
Self-motivated with a proactive approach to problem-solving
Excellent communication skills across various departments and levels

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