Fraud Strategy Senior Associate — Data Analytics & Risk

JPMorgan Chase

Wilmington (DE)

On-site

USD 95,000 - 135,000

Full time

14 days+
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Job summary

JPMorgan Chase is seeking a Senior Associate in Fraud Strategy to generate insightful analytics and advise on risk criteria development, implementation, and monitoring. You will analyze data to identify fraud patterns, champion end-to-end solutions, and balance risk with revenue impact across the organization.

The role requires strong programming skills (SAS, SQL, Python), excellent communication, and the ability to work with multiple stakeholders to reduce fraud while supporting business growth.

Qualifications

  • Bachelor's degree.
  • 2+ years of risk management, analytics, or data science experience.
  • Strong knowledge of SAS, SQL, Python.
  • Strong analytical, interpretive, and problem-solving skills.
  • Proficient in Excel & PowerPoint.
  • Excellent organizational and project management skills; able to manage competing priorities under tight deadlines.
  • Proven ability to collaborate and build strong partnerships.

Responsibilities

  • Monitor fraud trends in the portfolio to develop insights and propose solutions using data from across the firm and advanced analytics.
  • Develop strategies balancing fraud losses, operating costs, and customer impact.
  • Collaborate with partners across the firm to deliver fraud defenses and protect customers.
  • Work with fraud risk technical product teams to deliver best-in-class fraud prevention capabilities.

Skills

Fraud analytics
Data analysis
Communication
Excel
PowerPoint

Education

Bachelor's degree

Tools

SAS
SQL
Python

Job description

JPMorgan Chase is seeking a Senior Associate in Fraud Strategy to generate insightful analytics and advise on risk criteria development, implementation, and monitoring. You will analyze data to identify fraud patterns, champion end-to-end solutions, and balance risk with revenue impact across the organization.

The role requires strong programming skills (SAS, SQL, Python), excellent communication, and the ability to work with multiple stakeholders to reduce fraud while supporting business growth.

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