Quant Analytics Associate Senior - Fraud Strategy

JPMorganChase; Columbus (OH); On-site; USD 70,000 - 90,000; Full time

Job summary

JPMorganChase seeks a Quantitative Analytics Associate for their Point of Sale Fraud team in Columbus, Ohio. This role involves driving impactful fraud prevention through advanced risk analysis and strategic insights that help reduce fraud losses and protect customers.

The ideal candidate will have a Bachelor's degree and 3+ years in a related field, with strong skills in Python, SAS, and SQL. Responsibilities include interpreting complex data, managing fraud strategies, and collaborating with cross-functional teams.

Qualifications

• 3+ years of experience in fraud/risk/payments or related field.
• Ability to query large amounts of data and transform it into actionable information.
• Experience delivering recommendations to management.

Responsibilities

• Interpret complex data to identify risk dynamics and opportunities.
• Manage and implement fraud strategies to protect the bank from losses.
• Collaborate with partners to address business challenges.
• Develop new fraud detection tools and communicate findings.

Skills

Python

SAS

SQL

Analytical skills

Problem-solving

Communication skills

Interpersonal skills

Education

Bachelor's degree in a quantitative discipline

Master's degree in a quantitative discipline

Job description

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.

Job Responsibilities

• Interpret large amounts of complex data to formulate problem statements and 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 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 opportunities 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 or spending pattern detection tools while providing clear and 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 of 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 of experience in fraud/risk/payments or related field.
• Experience with Machine Learning technologies. Knowledge of LLMs.

Additional Information

This role is not eligible for visa sponsorship.

Equal Opportunity Employer/Disability/Veterans