Quant Analytics Associate - Fraud Strategy
About the role
Join our Fraud Strategy team to detect emerging fraud patterns and translate complex data into strategies that prevent losses and protect customers. You'll partner across Risk, Operations, and Technology to build and test detection tools, sharpen key risk indicators, and deliver insights that drive decisions at senior levels. As a Quant Analytics Associate on the Consumer & Community Banking Fraud Strategy team, you will manage fraud risk strategies and perform complex risk analyses with the objective of reducing fraud-related losses while balancing customer impact. You will also have frequent interaction and communication with cross-functional partners and present to managers and executives.
Responsibilities
- Interpret large amounts of complex data to formulate problem statements, concise conclusions regarding underlying risk dynamics, trends, and opportunities.
- Manage, develop, communicate, and implement optimal fraud strategies (including rules, cutoffs, policies, operational flows, etc.) to protect the bank from fraud-related losses and improve customer experience at Point of Sale.
- Identify key risk indicators and metrics, develop key metrics, enhance reporting, and identify new areas of analytic focus to better capture fraud.
- Provide subject matter expertise on strategy implementation/testing and initiatives related to the improvement of risk mitigation processes and infrastructure.
- Work collaboratively with cross-functional partners to understand and address key business challenges.
- Identify business opportunities by performing well-thought-out analysis—data mining, ensuring data integrity, synthesizing, and communicating findings to senior management.
- Assist team efforts in the critical development of new fraud pattern or spending pattern detection tools.
- Provide clear and concise oral and written communication across various functions and levels, including Operations, IT, and Risk Management.
Requirements
- Bachelor's degree in a quantitative discipline.
- Relatable work experience in a financial services organization, 4 or more years' experience in fraud/risk/payments or related field.
- Proven track record in solving business problems and/or project management skills—well-organized, structured approach, ability to achieve tight timelines on complex deliverables.
- Required technical skills may include SQL, SAS, Teradata, Oracle, Alteryx, Snowflake, Python, and MS Office-related products including Excel (Pivot tables, charts/graphs, and formulas).
- Must be a team player with excellent relationship management skills.
- Self-starter with the ability to drive for resolution.
- Strong communication and interpersonal skills with the ability to interact with individuals across departments/functions and with senior-level executives.
Preferred Qualifications
- Master's degree (or related work experience) in a quantitative discipline, preferably in a financial services organization, plus 2 or more years' experience in fraud/risk/payments or related field.
Benefits
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.
About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits, and cities grow, delivering solutions to solve all their financial needs.
The Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science, and machine learning. We have a strong partnership with Technology, which provides cutting-edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.