AVP, Transaction Fraud Strategy and Model Governance (L10)

Job Description:

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

Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.

• We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.

• Synchrony celebrates ~52% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members.

• We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.

• We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles

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 behaviours. 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, Transaction Fraud Strategy and Model Governance is a multifunctional role within Transactional fraud strategy team with several key responsibilities.  The primary responsibility is to perform analytic deep dives and root cause analysis to diagnose the impact of transactional fraud model scores performance on transactional fraud strategies.  The role will work closely with the Model Developers as well as the Fraud Strategy team to create remediation plans when models used in fraud strategies are not performing as expected.  Additional responsibilities will include development of action plans and playbook to address Model issues and MRA’s.  Documentation of model development, model development testing and audit responsibilities to ensure proper model implementation in Advance Defense, SAS FM, RAMS, etc. This role will utilize advanced analytical tools to investigate strategy performance and to build new Fraud strategies.

This position is remote, where you have the option to work from home. On occasion we may request for you to commute to our nearest office for in person engagement activities such as team meetings, training and culture events. We’re proud to offer you choice and flexibility

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 transactional 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 to determine their suitability, and subsequently onboard them into existing systems or workflows (Visa Compromise Score, VDA, MC Card Disruptor, Signifyd etc..)

• 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.

• 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 Transactional 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 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) to develop/ optimize fraud strategies

• Understanding of credit and 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 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.

• Experience using advanced modeling & data mining techniques required.

• 4+ years of experience working with statistical tools such as SAS, Python, Model Builder Decision Tree, Knowledge Seeker or others.

Work Timings: 2PM - 11PM IST

This role qualifies for Enhanced Flexibility and Choice 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. Please discuss this with the hiring manager for more details. 

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 (First Formal/Final Formal, PIP)

• L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.

• L08+ Employees can apply

Grade/Level: 10

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