Senior Analyst, Credit Modeling Operations

Job Description:

Role Summary/Purpose:

The Senior Analyst, Credit Operations Modeling role is a data scientist / credit risk modeling professional experienced with executing and maintaining models under the relevant regulatory guidance (SR 11-7 / OCC 2011-12, CECL, CCAR, DFAST). This role is part of Credit organization in the Reserves & Loss Forecasting team. The role requires demonstrated expertise with data, statistical analysis, and programming skills (Python/Pandas, Spark, Hadoop, SQL, Linux).

The primary focus of this role is on the quarterly reserve development process, as well as planning sessions involving loss forecast and reserve estimate projections. This 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. In addition, robust collateral is required to be produced in support of process risk controls and related documentation as part of effective governance, as well as internal and external review.

The Senior Analyst, Credit Operations Modeling will collaborate across different functions in Credit 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 assessment 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.

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.

Our Way of Working

We’re proud to offer you choice and 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 may be required to commute to our nearest office for in person engagement activities such as business or team meetings, training and culture events.

Essential 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 Controll