Quant Analytics Associate - Fraud Prevention

Job Responsibilities

• Develop and maintain code-driven data and monitoring solutions using languages such as SQL, SAS, and Python, including data extraction and querying, transaction/alert/claim trend monitoring, and performance analytics to optimize tool behavior and rules strategy
• Monitor and maintain fraud authorization strategies to counter emerging attacks and trends across loss types, reduce false positives, support both card-present and card-not-present channels, and meet overall budget goals
• Collaborate closely with Operations to understand product policies and procedures and improve decision quality as needed
• Identify key drivers of customer pain points and partner with the broader Operations team to develop creative solutions
• Conduct deep dives across processes to identify gaps, efficiency opportunities, and leakage-prevention measures
• Partner with Strategy to optimize ATO, wrongdoer, and scam strategies and support controlled channel expansion (e.g., Challenge as a Service) to drive optimal outcomes across key portfolio segments and deliver profitable ROI
• Develop new model input variables and profiles, and expand the data footprint, pattern-detection techniques, and related capabilities to improve authorization decision accuracy across functions
• Partner with Claims, Recovery, and Customer Experience teams to improve recovery outcomes and reduce provisional credit theft
• Ensure compliance with the existing control framework and drive enhancements that enable successful closure of strategy audits and Matters Requiring Attention (MRAs)
• Present clear, concise narratives by translating complex data and analysis into executive-ready materials for senior leaders and influencing outcomes across forums

Required Qualifications, Capabilities And Skills

• 2 years of work experience in risk management, strategic analytics, data analytics or payments function from a banking or consulting domain
• Competent in the use of data technology to solve complex business problems, with hands-on expertise in the use of programming languages like LLM, Python/Hive, SAS, R, SQL, Unix and/or other Oracle and/or Teradata database tools
• Experience in Big Data platforms and technologies (Hadoop, Hive, Pig, Spark, etc.) & Machine learning
• Strong communication, influencing and interpersonal skills with ability to interact with individuals across departments / functions and make recommendations to Senior management
• Good multi-tasking skills with ability to manage and prioritize projects across cross-functional groups
• Ability to thrive in a dynamic and fast-paced energetic environment and can adapt to changes quickly
• Bachelor's degree or work experience equivalent

Preferred Qualifications, Capabilities And Skills

• Master's degree in relevant technical or quantitative fields (e.g. Mathematics, Engineering, Finance, Business, Statistics, Operations Research and Economics)
• Strong analytical, technical, statistical skills preferred

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. 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, 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.

About The Team

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. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. 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.