VP, Check Fraud Strategy & Risk Leadership

Testing Site - JPMC; Columbus (OH); On-site; USD 180,000 - 280,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Vice President in Fraud Strategy to lead analytics and risk management efforts. You will coordinate with fraud risk tech, product, and operations to design and implement defenses that protect customers while enabling business growth.

The role requires building and mentoring a team, delivering data-driven insights, and applying ML techniques to detect and prevent fraud across portfolios.

Qualifications

• Bachelor’s or Master’s degree required.
• 7+ years of experience in strategic analytics, risk management, or data science.
• Strong knowledge of SAS and SQL.
• Excellent analytical, written, and verbal communication; proficient in Excel & PowerPoint.

Responsibilities

• Manage a team of fraud strategy professionals to monitor fraud trends in the portfolio.
• Develop insights around potential gaps in defenses and propose solutions using data from across the firm.
• Leverage advanced machine learning models and other advanced analytics.
• Develop strategies and actions that balance fraud losses, operational expenses, and customer impacts.
• Work closely with partners across the firm to develop a joint list of projects.
• Deliver solutions that keep the firm and customers safe from fraud while supporting business growth.
• Collaborate with the fraud risk technical product team to deliver best-in-class fraud fighting capabilities.

Skills

SAS

SQL

Leadership

Data analytics

Executive communication

Excel

PowerPoint

Education

Bachelor’s or Master’s degree

Tools

SAS

SQL

Job description

JPMorgan Chase & Co. is seeking a Vice President in Fraud Strategy to lead analytics and risk management efforts. You will coordinate with fraud risk tech, product, and operations to design and implement defenses that protect customers while enabling business growth.

The role requires building and mentoring a team, delivering data-driven insights, and applying ML techniques to detect and prevent fraud across portfolios.