Vice President - Financial Modeling - Financial Firm

Job Description :

We are a team of statisticians, economists, and other analytics professionals, focused on statistical modeling within Finance in the retail banking division of company. We answer complex quantitative questions, using a wide variety of analytical techniques and leveraging one of the world's largest data warehouse implementations. We do this in close tandem with our partners throughout the Finance organization at company, to help them make, execute, and assess critical business decisions.

This position will build models and manage other modelers to answer questions and create forecasts for groups across Finance.

Key responsibilities of the position will include:

- Building statistical or econometric models for budgeting, financial analysis, or to satisfy regulatory requirements (CCAR/DFAST)

- Identifying data anomalies and other cases when more investigation is required as part of the model-building process

- Communicating results across a wide variety of audiences, including Finance partners, modeling teams in Risk, and Model Governance

- Performing ad hoc statistical analysis to answer immediate business questions

- Hiring and developing a team of modelers to build models, communicate results, and perform other statistical analysis

Sample projects include:

- Budget and regulatory (CCAR) models for deposit growth, fee revenue, or other business drivers

- Forecasting the performance of branches or bankers, in order to optimize the branch network and staffing

- Creating price elasticity models to optimize deposit and loan pricing

Qualifications : 

As technical background, you should have a Masters degree in Statics or Economics, with a sound foundation in one or more of the following analytical disciplines:

- Linear and non-linear statistical modeling

- Time series and forecasting

- Panel (longitudinal) data analysis

- Bayesian methods

- Non-parametric methods

You should also be comfortable manipulating data and building models using a statistical computing language, such as R, SAS, Python, Matlab, or Stata.

In addition, the following non-technical skills are required:

- Excellent communication skills, with the ability to explain technical ideas to non-technical people and present to senior leaders in Finance

- The ability to identify and hire modelers with strong technical and communication skills

- The insight to help modelers develop their technical and non-technical skills