Senior Quant Analytics Associate, Fraud Strategy

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
OH
Posted
11 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $169k
$128k most similar roles pay here $210k

This listing doesn't post a salary. Most similar roles pay $136,050–$201,625.

Based on 240 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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Quant Analytics Associate, Fraud Strategy

As a Quant Analytics Associate Senior - Fraud Strategy on the Point of Sale Fraud team, you will manage fraud risk strategies within the Fraud Policy area to reduce losses while balancing customer impact. You will interpret complex data to identify risk dynamics and trends, develop optimal fraud rules and policies, and own initiatives from initial analysis through implementation and performance assessment. Your daily work involves identifying key risk indicators, enhancing reporting, and developing tools to detect new spending patterns. To succeed, you must possess advanced skills in Python, SAS, and SQL to query large datasets and transform raw data into actionable information. You will collaborate with cross-functional partners in Operations, IT, and Risk Management while presenting findings to senior executives. Preferred expertise includes Machine Learning technologies and knowledge of LLMs within the fraud and payments domain.

What you'll do

  • Interpret complex data to identify risk dynamics, trends, and opportunities.
  • Develop and implement fraud strategies including rules, cutoffs, policies, and operational flows.
  • Identify key risk indicators and develop metrics to improve fraud detection reporting.
  • Provide subject matter expertise on risk mitigation processes and infrastructure improvements.
  • Manage fraud strategy initiatives from initial problem definition through performance assessment.
  • Perform data mining and ensure data integrity to identify new business opportunities.
  • Develop tools to detect new fraud patterns or spending behaviors.
  • Present analytical findings and strategic recommendations to senior management and executives.

What we're looking for

  • Bachelor's degree in a quantitative discipline or equivalent work experience in financial services.
  • 3 or more years of experience in fraud, risk, payments, or a related field.
  • Advanced proficiency in Python, SAS, and SQL.
  • Ability to query large datasets and transform raw data into actionable management information.
  • Strong analytical and problem-solving skills to identify risks and trends.
  • Experience delivering recommendations and presentations to senior management.
  • Strong communication and interpersonal skills for cross-functional collaboration.
  • Preferred experience with Machine Learning technologies and knowledge of LLMs.

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