AVP, Acquisition Fraud Strategy and Model Governance (L10)

Role Title:AVP, Acquisition Fraud Strategy and Model Governance (L10)

Company Overview:

Synchrony (NYSE: SYF) is a leading consumer financing company that has been at the heart of American commerce and opportunity for nearly a century. Synchrony delivers credit and banking products that empower tens of millions of consumers to improve their financial lives and access what matters most. Leveraging innovative solutions that are shaping the future of retail commerce, Synchrony supports the growth and success of some of the nation’s most respected brands, alongside hundreds of thousands of small and midsize businesses, including health and wellness providers. Committed to excellence in service and culture, Synchrony is proud to be named as #3 as a Great Place to Work® in India and is honored to be ranked the #1 Best Company to Work For® in the U.S. by Fortune magazine and Great Place to Work®. For more information, visit www.synchrony.com.

Organizational Overview:

Credit Team decisions credit actions across the lifecycle of a customer – from acquisition to account management to collections and recover – we work towards managing credit and fraud losses and elevating customer experience through powerful and proprietary insights on customer risk and credit behaviors. The actionable insights are driven by access to numerous alternative data sources, new age technologies, focused strategies, emerging algorithms, and predictive precision. Spread across 10 pillars the credit team in India caters to the entire gamut of decision sciences, from data management to model development to strategy design, and bringing it all to life through technology, and managing within the guardrails of our regulatory requirements. As part of the team, you will have access to some unique product propositions, functional and leadership training, interaction with executive leadership team and a myriad of diverse perspectives.

Role Summary/Purpose:

The AVP, Acquisition Fraud Strategy and Model Monitoring, is a multi-functional role within credit fraud acquisitions strategy team. The primary responsibilities include overseeing the performance of fraud models and conducting in-depth data analytics to identify underlying model performance issues and developing action plans for deteriorating models. The role will work closely with the Acquisition Fraud Strategy Model Developers as well as the Credit Strategy Validation team to work on model driven strategies and also to create remediation plans when models used in Credit strategies are not performing as expected. Additional responsibilities include supporting the evaluation of new fraud models, fraud and technology tools, developing enhanced ongoing monitoring reporting as well as documentation of model development, model development testing and audit responsibilities to ensure proper model implementation.

Key Responsibilities:

• As part of on-going model monitoring, work closely with on-shore counterpart to perform deep dives and root cause analysis when models used in the Acquisition fraud strategies have red segments to determine the impact on fraud strategies.
• Provide support for Model Swaps / Use and Performance in Strategies / Model and Tool Innovation / Model and Strategy Analytics/Model implementation validations and ensure strategies have the use of the best available tools and scores. Support to assess and evaluate potential new models and tools that can be leveraged in acquisitions, payments, and merchant underwriting to determine their suitability, and subsequently onboard them into existing systems or workflows.
• Create a comprehensive playbook and detailed action plans to effectively address any issues related to models and MRA’s and develop detailed documentation to support the strategy team’s model development process to ensure consistency, transparency, and alignment with organizational goals.
• Author narratives for on-going model monitoring executive summaries explaining technical concepts in easily understood language
• Develop enhanced reporting to support fraud model performance monitoring
• Partner with advanced modeling teams to drive targeting/treatment solutions that meet business objectives
• Collaborate with 2nd / 3rd line to ensure strong governance, safety & soundness of strategies. Fully support regulatory requests, internal reviews, audits and business continuity planning
• Assist in the development of robust fraud prevention strategies and conduct in-depth analytics to identify trends, risks, and vulnerabilities to enhance detection and mitigation efforts as well as managing few critical process. Work closely with implementation team to ensure that Acquisition Fraud Strategic goals are met and remove obstacles to meeting those goals. Support the ideation, analysis, evaluation and integration new data and scores into the strategy framework
• Support the creation processes & controls to ensure that data, analyses, strategies, and recommendations are accurate. Perform ad hoc analytics, validations, remediations as required

Required Skills/Knowledge:

• Bachelor's degree with quantitative underpinning (i.e., Risk, Economics, Finance, Mathematics,  Statistics, Engineering) with minimum 4 & above years' in building analytically derived strategies within Credit, Marketing, Risk or Collections in Financial services, or in lieu of a degree 6 & above years' of relevant experience in an analytical/quantitative role related to consumer lending.
• 4+ years of experience working with statistical tools such as SAS, Python, Model Builder Decision Tree, Knowledge Seeker or others.
• Expert level proficiency with Excel
• Excellent temperament and ability to work through uncertainty, collaborate respectfully across functions & teams, and find solutions to issues

Desired Skills/Knowledge:

• Experience operating at a strategic level as part of a cross functional team
• Experience analyzing large data sets to derive strategies, segmentations, actionable insights
• Ability to conduct advanced data extraction, data merging and data analysis using large datasets and complex algorithms
• Experience using advanced modeling & data mining techniques (e.g. decision trees, logistic regression) to develop/ optimize fraud strategies. Strong understanding of model evaluation metrics such as precision, recall, F1
• Understanding of fraud models and their use in fraud strategies
• Understanding of the Lines of Defense (2nd Line Strategy Validation and 3rd Line Internal Audit)
• Familiarity with consumer and commercial lending products and practices
• Good communication & presentation skills and the ability to effectively provide insights, solicit feedback and problem solve with peers. Experience working alongside and in unison with off-shore teams
• Experience with model governance processes and model validation.

Eligibility Criteria:

• Bachelor's degree with quantitative underpinning (i.e., Risk, Economics, Finance, Mathematics,  Statistics, Engineering) with minimum 4 & above years' in building analytically derived strategies within Credit, Marketing, Risk or Collections in Financial services, or in lieu of a degree 6 & above years' of relevant experience in an analytical/quantitative role related to consumer lending.

Work Timings:2:00 PM to 11:00Pm IST

This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs)
We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR.
Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in person engagement activities such as business or team meetings, trainings, and culture events.

For Internal Applicants:

• Understand the criteria or mandatory skills required for the role, before applying
• Inform your manager and HRM before applying for any role on Workday
• Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)
• Must not be any corrective action plan (Formal/Final Formal)
• L8+ Employees who have completed 18 months in the organization and 12 months in their current role and level are only eligible.
• Employees at L8+ can only apply for this opportunity.

Grade/Level: 10

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