Sr. Director, Loss Forecasting

  •  

Newark, DE

Industry: Financial Services

  •  

11 - 15 years

Posted 288 days ago

This job is no longer available.

Sallie Mae is a company created with great purpose. We make the dream of higher education a reality. We do it by being a resource for families who want to save, plan, and pay for college. Our vision, to be a trusted financial partner, inspires us to explore new ways to serve our customers every day. No matter what position you hold at Sallie Mae, you'll have a role in moving us toward that vision.

Over the last 40 years, Sallie Mae has helped more than 34 million Americans pay for college. The same passion we have for helping customers is applied to helping our employees achieve professional and personal growth. With a wide range of opportunities available, we invite you to join our growing team and help students make their dreams of higher education a reality.

Position Summary:

This position will report to the Vice President of Loss Forecasting and Modeling and it a highly visible role which must interact with business partners in risk, finance and accounting. This position requires in depth knowledge of loss forecasting, advanced modeling techniques and coding languages such as SAS, SQL and R.

Sallie Mae is seeking a Senior Director of Loss Forecasting to lead the development of statistical models that assess the credit risk of Sallie Mae products (including but not limited to private studentloans and personal loans) and develop forward looking views of loss expectations. This individual will lead the Loss Forecasting team which will be responsible for building and perform qualitative and quantitative analysis on all credit portfolios in support of the bank's transition to CECL (Current Expected Credit Loss).

Key Responsibilities: 

Lead the Loss Forecasting Team and Development of CECL Models - 30%

  • Manage and provide thought leadership to the loss forecasting team. 
  • Interact with risk partners, auditors, validators and regulators to address model issues and remediation efforts.
  • Ensure model documentation adheres to internal and regulatory standards.
  • Manage the implementation of loss forecasting models, monitoring of model performance and evaluate the CECL impact to our financial results.

Development of CECL Models - 50%

  • Lead the development of CECL compliant loss forecasting models such as vintage level econometric models, PD/LGD models, conditional transition matrix models and survival/hazard models. 
  • Analyze and determine the appropriate modeling methodology to employ by product. 
  • Manage the model testing, model implementation and model monitoring efforts of the Loss Forecasting team. 
  • Ensure model documentation adheres to internal and regulatory standards.
  • Participate in all stages of model development from model methodology and framework design, data preparation, segmentation, model development, model testing and calibration.
  • Manage model validations, internal and external audits and regulatory reviews.

Adhoc Business Support - 20%

  • Work on various ad hoc quantitative, modeling, and programming assignments.

RExperience:

Must Have:

  • 10+ years of experience in Credit Risk Management, Forecasting, Marketing Analytics, or comparable experience 
  • 7+ years of experience building statistically based models using SAS, SQL, R or comparable coding language 
  • 5+ years of experience in management
  • 1+ years of experience with CECL, DFAST, CCAR or IFRS 9 model development
  • In depth knowledge of loss forecasting, statistical models and data mining techniques
  • The ability to understand generally accepted accounting principles
  • Strong oral and written communication skills required to effectively and concisely present key findings to senior management is a must
  • Strong working knowledge in presenting quantitative data via PowerPoint, Excel, Word, etc.
  • Solid knowledge of financial services industry and the products and services offered

Knowledge, Skills and Abilities:

  • Ability to consistently meet expected deadlines
  • Excellent written and verbal communication skills
  • Ability to simultaneously manage and organize multiple projects
  • Ability to recognize/analyze/resolve system and procedural problems
  • Ability to lead and coordinate activities of a project group
  • Ability to perform well under pressure and to work independently with high levels of initiative
  • Excellent organizational skills.