Fraud Strategy Quant Analytics Associate I

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 110,000 - 145,000; Full time

Job summary

JPMorgan Chase & Co. invites applications for a Quantitative Analytics Associate on the CCB Fraud Prevention Optimization Strategy team in Wilmington, DE.

The role focuses on reducing fraud costs and improving customer experience by applying advanced analytics and new tools like large language models. You will partner with cross-functional teams and senior leaders to deliver high-impact insights and solutions.

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• Strong background in statistics, mathematics, or engineering.
• Advanced Python, SAS, and SQL skills.
• Ability to query large data sets and derive actionable recommendations.
• Proven analytical and problem-solving abilities.
• Experience presenting recommendations to leadership.
• Self-starter with fast execution and attention to detail.
• Excellent communication across departments and with executives.

Responsibilities

• Interpret and analyze complex data to identify risk dynamics and opportunities.
• Apply advanced analytical methods to solve business problems.
• Develop and implement Fraud strategies to reduce losses and improve customer experience.
• Create key metrics, reports, and dashboards to monitor risk.
• Provide data insights and performance updates to partners.
• Collaborate with cross-functional teams to address business challenges.
• Communicate clearly across functions and levels.

Skills

Python

SAS

SQL

Analytical skills

Communication

Cross-functional

Education

Bachelor's degree in quantitative field

Tools

AWS

Snowflake

Job description

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 improving 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 Fraud Strategy Quant Analytics Associate I, you will focus on reducing cost of fraud, through complex analyses combined with business insights and collaboration. Our objective is reducing losses and / or operating expenses while balancing customer impact through optimizing business processes and decisioning. Team members will frequently interact and communicate with cross-functional partners and present complex analysis succinctly to managers and executives. This role provides an opportunity to be part of a dynamic team that is instrumental in protecting the bank by leveraging complex analytics and new tools like large language models to deliver sustainable, hard hitting business improvements.

Job Responsibilities:

• Interpret and analyze complex data to formulate problem statement, 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 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 the critical projects while providing clear/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.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in a quantitative fieldor 3years risk management or other quantitative experience
• Background in Engineering, statistics, mathematics, or another quantitative field
• Advanced understanding of Python, SAS, and SQL
• Query large amounts of data and transform 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

Preferred Qualifications, Capabilities, and Skills:

• MS degree in a quantitative fieldor 2or 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 will be an added advantage.

This role is not eligible for visa sponsorship now or in the future.Sponsorship includes, but is not limited to, support for I-983 training plans, F-1/OPT or CPT, H-1B, and any other employment authorization or immigration-related action requiring JPMorganChase sponsorship or intervention