With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.

We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services.

Job Responsibilities

Analyze large and complex datasets to uncover trends and behaviors in digital fraud activity.

Develop and implement creative, data-driven strategies and business rules to reduce fraud losses.

Monitor fraud trends and proactively identify emerging risks and vulnerabilities.

Design and automate processes to improve the efficiency and effectiveness of fraud alert systems.

Collaborate with technical and business partners to develop and implement new fraud-fighting products using agile methodologies.

Communicate complex analytical findings and strategies clearly to both technical and non-technical audiences, including senior leadership.

Simplify and present data-driven insights in concise presentations and reports.

Work closely with cross-functional teams to address points of friction and enhance the customer experience.

Respond rapidly to emerging fraud issues and adapt strategies as needed.

Apply strong problem-solving skills to develop elegant and practical solutions to complex business challenges.

Maintain a strong understanding of P&L drivers and the financial impact of fraud strategies.

Required Qualifications, Capabilities, and Skills

Minimum 2 years of professional experience in analytics, risk management, or data science.

Proven ability to analyze and interpret large datasets and translate findings into actionable business strategies.

Proficiency in analytical programming languages such as Python, SAS, R, or SQL.

Advanced skills in Excel and PowerPoint for data analysis and presentation.

Strong communication skills with the ability to convey complex data and concepts clearly.

Demonstrated experience in designing and analyzing experiments.

Ability to develop concise presentations with sound business conclusions.

Strong critical thinking and intellectual curiosity.

Experience working collaboratively within teams and across functions.

Ability to manage diverse tasks and respond to rapidly changing priorities.

Passion for problem-solving and continuous improvement.

Preferred Qualifications, Capabilities, and Skills:

Experience in digital payments, fraud prevention, or financial services.

Familiarity with machine learning models and their application in fraud detection.

Experience with agile project management methodologies.

Strong understanding of drivers of profitability and P&L management.

Track record of developing and implementing new products or analytical solutions.

Experience with vendor and in-house data integration.

Ability to brainstorm and implement solutions to improve customer experience and reduce complaints.