Quantitative Analytics Associate - Fraud Prevention Optimization Strategy

Are you interested in joining a dynamic team? Become a Quantitative Analytics Associate on our Consumer and Community Banking (CCB) Fraud Prevention Optimization Strategy team to reduce cost of fraud and improve customer experience.

The breadth of experiences, learnings, and connections in this role will enable your growth and development.

To excel, you'll be highly motivated, highly analytical, extremely detail oriented, and an exceptional problem solver who takes pride in being part of an organization that owns customer issues from beginning to end and delivers accurate, timely solutions.

As a Quantitative Analytics Associate in our Fraud Prevention Optimization team you will focus on reducing cost of fraud through complex analyses combined with business insights and collaboration. Your objective is to reduce losses and/or operating expenses while balancing customer impact through optimizing business processes and decisioning. You will frequently interact and communicate with cross‑functional partners and present complex analysis succinctly to managers and executives.

• Interpret and analyze complex data to formulate problem statement and provide concise conclusions regarding underlying risk dynamics, trends, and opportunities.
• Use advanced analytical & mathematical techniques to solve complex business problems.
• Manage, develop, communicate, and implement optimal fraud strategies to reduce fraud related losses and improve customer experience across the credit card fraud lifecycle.
• Identify key risk indicators, develop key metrics, enhance reporting, and identify new areas of analytic focus to constantly challenge current business practices.
• Provide key data insights and performance to business partners.
• Collaborate with cross‑functional partners to solve key business challenges.
• Assist team efforts in critical projects while providing clear and concise oral and written communication across various functions and levels.
• Champion the usage of latest technology and tools, such as large language models, to drive value at scale across business organizations.

• Bachelor's degree in a quantitative field or 3 years risk management or other quantitative experience.
• Background in Engineering, statistics, mathematics, or another quantitative field.
• Advanced understanding of Python, SAS, and SQL.
• Experience querying large amounts of data and transforming into actionable recommendations.
• Strong analytical and problem‑solving abilities.
• Experience delivering recommendations to leadership.
• Self‑starter with ability to execute quickly and effectively.
• Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with senior level executives.

• MS degree in a quantitative field or 4 or more years risk management or other quantitative experience.
• Hands on knowledge of AWS and Snowflake.
• Advanced analytical techniques like Machine Learning, Large Language Model Prompting or Natural Language Processing.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also provide a range of benefits and programs to meet employee needs, such as comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.