Senior Strategic Analytics: Digital Fraud Strategy

Fairygodboss; New York (NY); On-site; USD 130,000 - 170,000; Full time

Job summary

JPMorgan Chase is seeking a Senior Associate in Strategic Analytics within the Digital Fraud Strategy team to protect customers and the firm from evolving fraud across digital payments. You will lead end-to-end fraud loss management using advanced analytics, ML, and agile methods to identify trends, reduce losses, and enhance the customer experience.

You will work with large datasets, present insights to senior leadership, and collaborate with cross-functional teams to improve fraud-fighting

Qualifications

• 5+ years of analytics, risk management, or data science experience.
• Translate large data analyses into actionable business strategies.
• Proficiency in Python, SAS, R, or SQL.
• Advanced Excel and PowerPoint skills for analysis and presentation.
• Strong communication and presentation abilities.
• Experience designing and analyzing experiments.

Responsibilities

• Analyze large and complex datasets to uncover fraud trends.
• Develop data-driven strategies to reduce fraud losses.
• Monitor trends and identify emerging risks.
• Design automated processes to improve fraud alerts.
• Collaborate with partners to build fraud-fighting products.
• Present findings to senior leadership in clear terms.
• Convey insights to both technical and non-technical audiences.
• Improve customer experience by reducing friction.
• Respond rapidly to emerging fraud issues and adapt strategies.
• Apply problem-solving to complex business challenges.
• Understand P&L drivers and financial impact.

Tools

Python

SAS

R

SQL

Excel

PowerPoint

Analytical thinking

Communication

Experiment design

Cross-functional collaboration

Job description

JPMorgan Chase is seeking a Senior Associate in Strategic Analytics within the Digital Fraud Strategy team to protect customers and the firm from evolving fraud across digital payments. You will lead end-to-end fraud loss management using advanced analytics, ML, and agile methods to identify trends, reduce losses, and enhance the customer experience.

You will work with large datasets, present insights to senior leadership, and collaborate with cross-functional teams to improve fraud-fighting