Synchrony - Manager - Credit Forecasting & Analytics

Company Overview :

Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industrys 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 #5 among Indias Best Companies to Work for 2023, #21 under LinkedIn Top companies in India list, and received Top 25 BFSI recognition from Great Place To Work India. We have been ranked Top 5 among Indias Best Workplaces in Diversity, Equity, and Inclusion, and Top 10 among Indias Best Workplaces for Women in 2022. We offer 100% Work from Home flexibility for all our Functional employees and provide some of the best-in-class Employee Benefits and Programs catering to work-life balance and overall wellbeing. In addition to this, we also have Regional Engagement Hubs across India and a co-working space in Bangalore.

Organizational Overview :

Credit Team decisions credit actions across the lifecycle of a customer. Spread across 10 pillars the team caters to data management, model development, strategy design and bringing it all to life through technology. This team enables powerful and proprietary insights on customer risk and credit behaviours. The insights are driven by access to numerous alternative data sources, new age technologies, focused strategies, emerging algorithms, and predictive precision. You will have access to some unique product propositions, functional and leadership training, senior leadership teams.

Role Summary/Purpose :

Synchrony's Credit and Capital Management group is looking for a data scientist / credit risk modeling

professional responsible for executing, maintaining and developing models under the relevant regulatory

guidance (SR 11-7 / OCC 2011-12, CECL, CCAR, DFAST). This role is part of Credit and Capital Management, in the Credit Forecasting & Advanced Analytics team. The role requires experience with big data, statistical analysis and model development, as well as programming skills (Python/Pandas, Spark, Hadoop, SQL, SAS)

The primary focus of this role is the model execution supporting the quarterly reserve development process, and models underpinning the loss forecasting estimate projections. A secondary focus area is to support the model development team with model builds, enhancements and remediation's as needed, also support Fraud and Reserves Forecasting processes when needed.

The role is responsible for executing critical credit estimation models on a quarterly basis, providing analytical input to development of estimates of Credit and Fraud Losses by executing complex statistical, trend-based models with forward looking features. This role analyses trends and drivers of changes across the entire Synchrony portfolio and all products. The role will collaborate across different functions in Credit & Capital Management, with IT and model development to manage model enhancements and big data processing. The person will use their model knowledge, business analysis and process experience to ensure business intent is matched with sound estimates, and communicate with peers and functional leaders, as well as document assumptions and methods to meet accounting rules and model risk management guidelines. In addition to responsibilities on scheduled quarterly cycles involving forecasting models, this role will be expected to work on ad-hoc projects as needed such as in Stress Testing models and enhancements to existing model and occasionally, new development initiatives.

This is a great opportunity for a modeler / statistician / data analyst / programmer with experience in consumer credit analysis. We offer a dynamic, collaborative team environment with a strong credit risk management culture, and exposure to new technology and data platforms. A successful candidate must have strong programing skills to execute and troubleshoot data / modeling nuances, design and develop new processes as part of new model implementation(s) and drive process efficiency. This role works closely with process/model owners, and model development in testing of models, supports validation efforts as well as provides audit support. This position is open to all India SYF hybrid, hoteling, and virtual hub locations.

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. To ensure the safety of our colleagues and communities, we require employees who come together in person to be fully vaccinated. Were proud to offer you choice and flexibility

Key Responsibilities :

- Plan and execute models in the production Reserves and Loss Forecasting process with a focus on CECL,

as well as allied quantitative estimates such as recoveries and scenario management and stress testing

- Maintain model data input monitoring, production controls and output analytics including results analysis along with robust documentation of key facets

- Support quarterly review process and quarter closing activities, as well as contribute to effective process controls as peer reviewer

- Visualize insights, performance, and trends in inputs/outputs for effective communication and decisioning

- Drive understanding of drivers and providing narrative support for the assumptions, rationale, and

projections to model owners and sponsors

- Assist with responding to model validation, regulatory or other oversight requests, including exam

findings or issues. Adhere to and follow model governance standards

- Support the development of new models or enhancements to existing models

- Aid management of models through their lifecycle, from development phase through to implementation

into production and outline enhancements for evaluation and future model releases. Meet project timelines, engage in ongoing analysis, find performance thresholds, manage model version control, performance assessments, seek out opportunities for process and model improvements, collaborate on model re-calibrations, and re-fits when business dynamics change

- Collaborate with other cross functional teams Forecasting an, Reserve and Stress Testing/Capital

Management teams, Model Development, Data Governance, Finance, Collections and Controllership

- Perform other duties and/or special projects as assigned

Required Skills/Knowledge :

- Strong programing skills in Python/Spark is mandatory, in addition to proven hands-on experience

utilizing using SQL, SAS to perform statistical analysis, query relational databases, and manage large

amounts of data

- 2+ years of experience in credit loss modeling in areas such as Loss Forecasting, Allowance, Stress

Testing, or other areas with consumer credit estimation

Desired Skills/Knowledge :

- Excellent time management with ability to manage multiple competing initiatives and deliver results

within deadlines with accuracy and attention to detail

- Experience in process improvement, project management or change management

- Familiarity with Model Governance trends/developments across the banking sector, especially as related

to credit card or consumer lending (SR11-7)

- Strong communication skills to facilitate complex discussions in productive and collaborative manner

- Positive mindset under tight timelines and critical deliverables

- Experience with Linux, HDFS and AWS to collaborate and operate in a cloud computing environment

Eligibility Criteria : Bachelor's degree with quantitative underpinning (i.e., Data Science, Computer Science, Risk, Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering) with 3+ years of experience in Programming / Analytics ideally in support of Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience or in Lieu of degree 5+years of experience in Programming / Analytics ideally in support of Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience

Work Timings :

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