VP - Financial Modeling - BFSI

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 PhD in a quantitative field of study, such as statistics 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