Quantitative Analytics Director: Point of Sale Fraud Token Capabilities

Wilmington, DE, United States

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Role Details

As a Quantitative Analytics Director on the Point of Sale Token Capabilities team you will lead a forward-thinking team of analysts that seeks to prevent token plastics fraud through innovating analytics, advancing machine learning models, and enhancing fraud decision platforms.  You will work with cross line of business partners to propel benefits in all aspects of fraud prevention through advancing technology capabilities, identifying new data sources to improve fraud models, and improving analytic techniques.  The ideal candidate should be a self-driven problem solver that is capable of analyzing big data, understanding complex systems, identifying opportunities, creating solutions, and leading 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 preferably 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

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. For those in eligible roles, discretionary incentive compensation which may be 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.

Equal Opportunity Employer/Disability/Veterans

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Big Data Data Mining Machine Learning ML models Python SAS SQL

Perks/benefits: Career development Competitive pay Health care Startup environment Wellness

Region: North America
Country: United States

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