Quant Analytics Associate Senior - Fraud Strategy

Testing Site - JPMC; Columbus (OH); On-site; USD 110,000 - 135,000; Full time

Job summary

Testing Site - JPMC in Columbus, OH seeks a Quantitative Analytics Associate II to manage fraud risk strategies within Fraud Policy and perform advanced risk analyses to reduce losses while balancing customer impact.

You will interact with cross-functional partners and present findings to managers and executives, driving improvements in detection and mitigation across the Point of Sale Fraud team.

Qualifications

• Bachelor's degree in a quantitative discipline; 3+ years in fraud/risk/payments or related field.
• Advanced Python, SAS, and SQL are required.
• Ability to query large datasets and turn them into actionable insights.
• Strong analytical and problem-solving abilities; experience presenting to management.
• Self-starter with ability to drive for resolution and collaborate cross-functionally.

Responsibilities

• Interpret large, complex data to identify risk dynamics, trends and opportunities.
• Develop and implement fraud strategies, policies and operational workflows to reduce losses.
• Identify KPIs, enhance reporting, and explore new analytic focus areas.
• Provide SME input on strategy implementation and risk mitigation enhancements.
• Collaborate with cross-functional partners to address key business challenges.
• Conduct data mining, ensure data integrity, and present findings to senior management.
• Contribute to development of new fraud detection patterns and tools.

Skills

Python

SAS

SQL

Analytical thinking

Communication

Education

Bachelor's degree in quantitative field

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
• 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. Knowledge of LLMs.

This role is not eligible for visa sponsorship