VP, Fraud Analytics and Strategy

Job Description:

Role Summary / Purpose

The role is responsible for driving analytic insights and transactional fraud initiatives for the full suite of Synchrony Financials credit products. This role will work cross functionally to identify, understand and design innovative fraud strategies to drive the success of the business. The role interacts with senior leadership and drives communication of results, initiatives, and process items across the matrixed organization.

Our Way of Working

We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. Occasionally you will be required to commute or travel for in person engagement activities such as business or team meetings, training and culture events. 

*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences. 

Essential Responsibilities:

• Develop fraud strategies in collaboration with Synchrony fraud strategy and infrastructure organizations.

• Execute, monitor, and drive process improvement of existing transactional fraud strategies

• Engage with Visa / MC networks on industry trends, score models, and evolving protection mechanisms

• Partner with modeling teams/vendors to drive advanced targeting strategies

• Partner cross-functionally on strategies across the credit I fraud lifecycle

• Drive and influence across leadership levels regards initiatives and results, as well as participate in strategizing with portfolio credit teams

• Ad hoc analytics / insights, validations, remediations

• Execute batch tests / Challenger analytics

• Responsible for process controls and maintaining regulatory review rhythm with Compliance, Legal & Fair Lending Teams

• Supports related exams, audits and business continuity planning

• Build for the future by understanding industry, economic and business needs

• Analyze and explore datasets in order to find opportunities and support fraud innovation through data analytics

• Perform other duties and/or special projects as assigned

Qualifications/Requirements

• Bachelor's degree and 7+ years of experience building analytically derived strategies within Fraud, Credit, Marketing, Risk or Collections in Financial services, or in lieu of a Bachelor's degree, 9+ years of experience building analytically derived strategies in Fraud, Marketing, Risk or Collections in Financial services.

• 3+ years Of experience working with statistical tools such as SAS, Python, Model Builder Decision Tree, Knowledge Seeker and/or others similar tools.

• Ability and flexibility to travel for business as required

Desired Characteristics:

• Financial Services / Retail Credit Card experience strongly preferred

• Natural curiosity and passion to drive change in consumer banking for the better.    

• Advanced programming with SAS, R or python

• Experience analyzing large data sets to derive strategic, segments, actionable credit insights

• Experience using multiple Fraud Decision Systems (e.g. Credit Bureaus) to make fraud strategy decisions.

• Experience developing Consumer / Commercial Fraud Strategies

• Ability to conduct advanced data analysis and complex designs algorithm

• Experience using advanced modeling & data mining techniques (e.g. Machine learning, Big Data) to develop/ optimize Fraud strategies

• Strong communication / relationship management / influencing skills / presentation skills and the ability to interact with and present to SYF senior leaders

• Leadership experience operating at a strategic level as part of a cross functional team

• Master's Degree or MBA with advanced analytic focus, or equivalent advanced degree

Grade/Level: 12

The salary range for this position is 135,000.00 - 230,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.

Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.

Salaries are adjusted according to market in CA, NY Metro and Seattle.

Eligibility Requirements:

• You must be 18 years or older

• You must have a high school diploma or equivalent

• You must be willing