My client is looking to fill an AVP role focused on executing, maintaining and developing models under the relevant regulatory guidance. You will be responsible for executing critical credit estimation models on a quarterly basis and providing analytical input to development of estimates of Credit and Fraud Losses by executing complex statistical, trend-based models with forward looking features. 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.
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
Qualifications:
- 5+ years of relevant analytics experience, preferably in risk/credit
- Experience in credit loss modeling in areas such as Loss Forecasting, Allowance, Stress Testing, or other areas with consumer credit estimation
- Proven hands-on experience using in SQL/Python/Spark/Linux to perform statistical analysis, query relational databases, and manage large amounts of data
