Synchrony
VP, Fraud Models, Tools and Technology Leader
Synchrony, Chicago, Illinois, United States, 60290
Overview
The VP, Fraud Models, Tools & Technology Leader is responsible for the overall leadership of the support functions of the Transactional Fraud strategy organization, including Fraud mitigation (CPP, emerging threats, trend detection), new client launches, Transaction Fraud Model Governance, Strategy Governance, MIS, and Data Management. The role drives innovation through leveraging PRISM teams for new data and technology builds, and resolves unique issues and escalations. It also covers Vendor and 3rd Party Management, Supplier management, and serving as the Transactional Fraud Data thought leader. The role interfaces with PCM/clients, ops, enterprise fraud and other cross functional groups. The role reports to the VP, Account Management Fraud Strategy Leader, and currently several direct reports as well as sub-teams and dotted line leadership responsibilities in their overall organization. Our Way of Working: Synchrony offers choice and flexibility with options to work from home, near a hub, or in an office. Occasional commuting to a nearest office may be required for in-person activities. Responsibilities
Lead Transaction Fraud Strategy Platform Management, including development and new functionality of decisioning platforms, data and analytics, strategy ownership of Advanced Defense, SAS Fraud Management Platform, and alerting processes. Lead the implementation of fraud policy rules to ensure proper infrastructure for Transactional Authentication, validation, and monitoring to minimize and mitigate authentication failures. Lead the New Client integration team in delivering new clients and production readiness. Collaborate with authentication, fraud operations, special investigations, enterprise fraud, and client teams to balance fraud mitigation with customer experience. Manage partnerships with 3rd parties on breach data and compromised card signals; drive proactive fraud reissue campaigns for impacted accounts and cardholders. Manage 3rd party fraud tools to create multiple levels of fraud risk mitigation. Provide leadership in cross-functional engagements across fraud teams on projects and initiatives. Leverage fraud communication platforms and technology to drive best-in-class client cardholder experiences during transactions. Serve as the Transactional Fraud Strategy Data SME. Governance, Process & Innovation
Monitor and drive model governance for transaction fraud models, supporting existing and new model builds and vendor offerings, with ongoing monitoring and performance issue addressing per the MRM framework in partnership with modeling teams. Drive Strategy Governance and processes to ensure successful reviews by 2nd Line, 3rd Line, and regulators. Maintain process controls and regulatory review rhythm with Compliance, Legal & Fair Lending. Manage the Strategy control function for the First-line Transactional Fraud Strategy team, including in?line quality assurance of strategy changes, issue management, exam management, and management of non-model tools and EUCs. Support regulatory exams, audits, and business continuity planning. Innovation & Collaboration
Provide vision for future landscape and leverage agile teams and innovative techniques to enhance capabilities. Drive investments and development of new tools and data solutions (PRISM, new models) to inform strategy decisions. Engage with networks (e.g., Visa, Mastercard) on industry trends, score models, and evolving fraud protection mechanisms. Perform other duties and/or special projects as assigned. Qualifications / Requirements
Bachelors degree and 7+ years of experience building analytically derived strategies in Fraud, Credit, Marketing, Risk or Collections in Financial services; or 10+ years in lieu of a Bachelors degree. 5+ years experience in strategy development or related analytics-focused roles. 3+ years experience in Fraud Management within consumer lending. 3+ years of experience with data tabulation or pattern recognition software (e.g., Tableau, SAS Viya, Neo4J). Desired Characteristics
Natural curiosity and passion to drive change in consumer lending. Advanced programming with SAS, SQL, R, Python, or similar languages. Experience analyzing large data sets to derive strategic insights and actionable credit insights. Knowledge of Transaction Fraud systems (e.g., SAS FM, Advance Defense) and modeling tools. Experience developing Consumer / Commercial Fraud Strategies. Ability to conduct advanced data analysis and complex algorithm designs. Experience using advanced modeling and data mining techniques (e.g., Machine Learning, Big Data). Experience managing small to medium-sized teams. Strong communication, relationship management, influencing and presentation skills with senior leaders. Leadership experience operating at a strategic level in cross-functional teams. Masters Degree or MBA with advanced analytic focus, or equivalent. Salary & Employment Details
Grade/Level: 13 The salary range for this position is 155,000.00 - 260,000.00 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 on work experience, skill level or knowledge. Salaries are adjusted according to market in CA, NY Metro and Seattle. Eligibility & Our Commitment
You must be 18 years or older You must have a high school diploma or equivalent You must be willing to take a drug test, undergo a background investigation and submit fingerprints as part of onboarding You must meet the requirements of Section 19 of the Federal Deposit Insurance Act New hires (Level 4-7) have time-in-position requirements before posting to other roles; Level 8+ require longer time-in-position thresholds. All internal applicants must meet performance expectations and have approvals to post. Legal authorization to work in the United States is required. We do not sponsor employment visas. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Our Commitment
Were building an inclusive culture where your skills, experience, and voice are valued. We support ERGs and foster belonging. #J-18808-Ljbffr
The VP, Fraud Models, Tools & Technology Leader is responsible for the overall leadership of the support functions of the Transactional Fraud strategy organization, including Fraud mitigation (CPP, emerging threats, trend detection), new client launches, Transaction Fraud Model Governance, Strategy Governance, MIS, and Data Management. The role drives innovation through leveraging PRISM teams for new data and technology builds, and resolves unique issues and escalations. It also covers Vendor and 3rd Party Management, Supplier management, and serving as the Transactional Fraud Data thought leader. The role interfaces with PCM/clients, ops, enterprise fraud and other cross functional groups. The role reports to the VP, Account Management Fraud Strategy Leader, and currently several direct reports as well as sub-teams and dotted line leadership responsibilities in their overall organization. Our Way of Working: Synchrony offers choice and flexibility with options to work from home, near a hub, or in an office. Occasional commuting to a nearest office may be required for in-person activities. Responsibilities
Lead Transaction Fraud Strategy Platform Management, including development and new functionality of decisioning platforms, data and analytics, strategy ownership of Advanced Defense, SAS Fraud Management Platform, and alerting processes. Lead the implementation of fraud policy rules to ensure proper infrastructure for Transactional Authentication, validation, and monitoring to minimize and mitigate authentication failures. Lead the New Client integration team in delivering new clients and production readiness. Collaborate with authentication, fraud operations, special investigations, enterprise fraud, and client teams to balance fraud mitigation with customer experience. Manage partnerships with 3rd parties on breach data and compromised card signals; drive proactive fraud reissue campaigns for impacted accounts and cardholders. Manage 3rd party fraud tools to create multiple levels of fraud risk mitigation. Provide leadership in cross-functional engagements across fraud teams on projects and initiatives. Leverage fraud communication platforms and technology to drive best-in-class client cardholder experiences during transactions. Serve as the Transactional Fraud Strategy Data SME. Governance, Process & Innovation
Monitor and drive model governance for transaction fraud models, supporting existing and new model builds and vendor offerings, with ongoing monitoring and performance issue addressing per the MRM framework in partnership with modeling teams. Drive Strategy Governance and processes to ensure successful reviews by 2nd Line, 3rd Line, and regulators. Maintain process controls and regulatory review rhythm with Compliance, Legal & Fair Lending. Manage the Strategy control function for the First-line Transactional Fraud Strategy team, including in?line quality assurance of strategy changes, issue management, exam management, and management of non-model tools and EUCs. Support regulatory exams, audits, and business continuity planning. Innovation & Collaboration
Provide vision for future landscape and leverage agile teams and innovative techniques to enhance capabilities. Drive investments and development of new tools and data solutions (PRISM, new models) to inform strategy decisions. Engage with networks (e.g., Visa, Mastercard) on industry trends, score models, and evolving fraud protection mechanisms. Perform other duties and/or special projects as assigned. Qualifications / Requirements
Bachelors degree and 7+ years of experience building analytically derived strategies in Fraud, Credit, Marketing, Risk or Collections in Financial services; or 10+ years in lieu of a Bachelors degree. 5+ years experience in strategy development or related analytics-focused roles. 3+ years experience in Fraud Management within consumer lending. 3+ years of experience with data tabulation or pattern recognition software (e.g., Tableau, SAS Viya, Neo4J). Desired Characteristics
Natural curiosity and passion to drive change in consumer lending. Advanced programming with SAS, SQL, R, Python, or similar languages. Experience analyzing large data sets to derive strategic insights and actionable credit insights. Knowledge of Transaction Fraud systems (e.g., SAS FM, Advance Defense) and modeling tools. Experience developing Consumer / Commercial Fraud Strategies. Ability to conduct advanced data analysis and complex algorithm designs. Experience using advanced modeling and data mining techniques (e.g., Machine Learning, Big Data). Experience managing small to medium-sized teams. Strong communication, relationship management, influencing and presentation skills with senior leaders. Leadership experience operating at a strategic level in cross-functional teams. Masters Degree or MBA with advanced analytic focus, or equivalent. Salary & Employment Details
Grade/Level: 13 The salary range for this position is 155,000.00 - 260,000.00 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 on work experience, skill level or knowledge. Salaries are adjusted according to market in CA, NY Metro and Seattle. Eligibility & Our Commitment
You must be 18 years or older You must have a high school diploma or equivalent You must be willing to take a drug test, undergo a background investigation and submit fingerprints as part of onboarding You must meet the requirements of Section 19 of the Federal Deposit Insurance Act New hires (Level 4-7) have time-in-position requirements before posting to other roles; Level 8+ require longer time-in-position thresholds. All internal applicants must meet performance expectations and have approvals to post. Legal authorization to work in the United States is required. We do not sponsor employment visas. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Our Commitment
Were building an inclusive culture where your skills, experience, and voice are valued. We support ERGs and foster belonging. #J-18808-Ljbffr