Quant Analytics Associate Senior - Fraud Strategy

JPMorgan Chase & Co.; Kentucky; On-site; USD 95,000 - 125,000; Full time

Job summary

JPMorgan Chase & Co. in the United States seeks a Quantitative Analytics Associate II on the Point of Sale Fraud team to guide risk strategies, perform advanced analyses, and present insights to managers and executives.

You will partner across functions, own end-to-end fraud strategy initiatives, and develop detection tools while balancing customer impact.

A Bachelor's in a quantitative field and 3+ years in fraud/risk, plus Python, SAS, SQL skills, are required.

Qualifications

• Bachelor's degree in a quantitative discipline and 3+ years of fraud/risk/payments experience.
• Proficiency in Python, SAS, and SQL.
• Ability to query large data and transform into insights.
• Strong communication and cross-functional collaboration.

Responsibilities

• Interpret complex data to define risk dynamics and opportunities.
• Design and implement fraud strategies to protect the bank and improve customer experience.
• Identify risk indicators and metrics; enhance reporting.
• Provide SME on strategy implementation and risk mitigation processes.
• Collaborate with cross-functional partners across departments.
• Own fraud strategy initiatives end-to-end from problem to post-analysis.
• Conduct data analyses to uncover business opportunities and present findings to senior management.
• Support development of new fraud pattern detection tools and communicate across functions.

Skills

Analytical skills

Communication

Problem solving

Self-starter

Education

Bachelor's degree in quantitative discipline

Master's degree in quantitative discipline

Tools

Python

SAS

SQL

Job description

Drive impactful fraud prevention as a Quantitative Analytics Associate on our Point of Sale Fraud team where your advanced risk analyses and strategic insights help reduce fraud losses, protect customers, and influence key decisions across the organization.

As a Quantitative Analytics Associate II in the Point of Sale Fraud team, you will manage fraud risk strategies in the Fraud Policy area and perform complex risk analyses with the objective of reducing fraud related losses while balancing customer impact. You will frequently interact and communicate with cross-functional partners and communicate and present presentations to managers and executives.

Job responsibilities

• Interpret large amounts of complex data to formulate problem statement, concise conclusions regarding underlying risk dynamics, trends, and opportunities
• Manage, develop, communicate, and implement optimal fraud strategies (including rules, cutoffs, policies, operational flows, etc.) to protect the bank from fraud related losses and improve customer experience at Point of Sale
• Identify key risk indicators and metrics, develop key metrics, enhance reporting, and identify new areas of analytic focus to better capture fraud.
• Provide subject matter expertise on strategy implementation/testing and initiatives related to the improvement of risk mitigation processes and infrastructure
• Collaborate with cross-functional partners to understand and address key business challenges
• Own fraud strategy initiatives end-to-end—define the problem, perform analysis, support implementation, and run pre/post-performance assessments.
• Identify business opportunity by performing well thought analysis – Data mining, ensuring data integrity, synthesizing and communicating findings to senior management
• Assist team efforts in the critical development of new fraud pattern or spending pattern detection tools while providing clear/concise oral and written communication across various functions and levels, inclusive of Operations, IT, and Risk Management

Required qualifications, capabilities, and skills

• Bachelor's degree (or related work experience) in a quantitative discipline in a financial services organization, plus 3 or more years’ experience in fraud/risk/payments or related field.
• Advanced understanding of Python, SAS, and SQL.
• Ability to query large amounts of data and transform raw data into actionable management information.
• Strong analytical and problem-solving abilities.
• Experience delivering recommendations to management.
• Self-starter with the ability to drive for resolution.
• Strong communication and interpersonal skills with the ability to interact with individuals across departments/functions and with senior‑level executives.

Preferred qualifications, capabilities, and skills

• Master's degree (or related work experience) in a quantitative discipline, preferably in a financial services organization, plus 3 or more years’ experience in fraud/risk/payments or related field.
• Experience with Machine Learning technologies and knowledge of LLMs.

This role is not eligible for visa sponsorship. Sponsorship includes, but is not limited to, support for I-983 training plans, F-1/OPT or CPT, H-1B, and any other employment authorization or immigration‑related action requiring JPMorganChase sponsorship or intervention.