Real job — pulled straight from JPMorgan Chase’s careers page · Verified June 18, 2026 · No reposts.
Job description
JPMorgan Chase is hiring a Quantitative Analytics Associate — a full-time, based in Wilmington, DE role. Apply directly on JPMorgan Chase's careers page below.
Quantitative Analytics Associate - Fraud Prevention Optimization Strategy
Location: Wilmington, DE, United States
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 Quant Analytics Associate I 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 reducing 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. You will be provided 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 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
- 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 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 will be an added advantage.
About Us
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 offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include 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. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. 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. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Organization
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Frequently asked questions
What skills are required for Quantitative Analytics Associate at JPMorgan Chase?
The required skills for Quantitative Analytics Associate at JPMorgan Chase include: Python, SAS, SQL, AWS, Snowflake, Machine Learning, LLM, NLP.
What is the seniority level for Quantitative Analytics Associate at JPMorgan Chase?
Quantitative Analytics Associate at JPMorgan Chase is a Entry / Mid Level level position.
How do I apply for Quantitative Analytics Associate at JPMorgan Chase?
You can view the full description and apply for Quantitative Analytics Associate at JPMorgan Chase on EchoJobs: https://echojobs.io/job/jpmorgan-chase-quantitative-analytics-associate-fraud-prevention-optimization-strategy-6cx89.