The Point of Sale Fraud Strategy team encompasses strategy managers and analysts with the responsibility of managing fraud losses across Chase Credit Card and Chase Debit Card portfolios.  We are focused on the strategic vision to drive complex quantitative and qualitative analysis of fraud trends, and the development of mitigation strategies. We are also responsible to for driving a strong culture of controls to ensure a strong operational and risk environment.

As a Quantitative Analytics Director on the Point of Sale Token Capabilities team, you will have the opportunity to lead a forward-thinking team of analysts. Your role will be pivotal in preventing token plastics fraud through innovative analytics, advanced machine learning models, and enhanced fraud decision platforms. You will collaborate with various business partners to promote benefits in all aspects of fraud prevention by advancing technology capabilities, identifying new data sources to improve fraud models, and refining analytic techniques. This role will challenge you to analyze big data, understand complex systems, identify opportunities, create solutions, and lead large-scale projects.
 

Job Responsibilities

Understand and manage the full lifecycle of tokens and tokenization, identifying improvement opportunities and executing on them Coach a small team of quantitative analysts charged with designing token-related fraud controls Partner with Product leads in Connected Commerce to drive fraud-based design in support of key projects and bank growth initiatives Identify business opportunities by performing complex analysis and data mining, while ensuring data integrity, and synthesizing and communicating findings to business partners and senior management Provide clear and concise oral and written communication across various functions and levels, inclusive of Operations, IT, and Risk Management

Required qualifications, capabilities, and skills

Bachelor's (OR related work experience) in a quantitative discipline in a financial services organization 8 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. Advanced understanding of Python, SAS, and SQL Ability to query large amounts of data and transform the raw data into actionable management information Strong communication and interpersonal skills with ability to interact with individuals across departments / functions and with senior-level executives

Preferred qualifications, capabilities, and skills

Master's degree (OR related work experience) in a quantitative discipline preferably in a financial services organization