A leading financial services company is currently seeking a VP Quantitative Analytics to grow their consumer credit risk modeling team as part of an expansion initiative due to ambitious growth plans and strong earnings results. The VP Quantitative Analytics would be responsible for developing PD/LGD models for their consumer credit portfolio. This will be a crucial hire for the team as this person would act as the "go-to" and lead individual for consumer credit risk modeling for the firm. This firm is known for excellent work life balance and the VP Quantitative Analytics will be fast-tracked into a managerial role.
The VP Quantitative Analytics will be responsible forโฆ
- Participating in the full life cycle development of credit risk models
- Providing support to internal team, regulators, and clients
- Develop PD/LGD/EAD and loss forecasting models for the firm's consumer portfolio
- Research innovative modeling techniques and devise ways to implement cutting-edge technologies and strategies into future models
- Strategize with senior management regarding models results and how the risk exposures in the portfolio could change based on microeconomic and macroeconomic factors
- Coach and mentor junior members of the team
The VP Quantitative Analytics should have the following qualificationsโฆ
- 5+ years of quantitative experience, ideally within financial services
- Experience developing or validating mortgage credit risk models
- Experience with PD, LGD and loss forecasting models
- Master's degree or PhD in Mathematics, Statistics, Economics or a similar quantitative discipline
- Ability to work independently, as well as collaborate with others in a team environment
- Proficient in programming languages SAS, R and/or Python is preferred
- Strong analytical and problem-solving skills