VP - Model Development - Corporate Financial Planning and Analysis

Salary: $150,000 to $170,000 per annum

Location: New York/Remote (Hybrid working)

The Role:

· Developing, implementing, and maintain the models that support our clients Balance Sheet and Income Statement forecasting

· These models are used by the Business and Finance teams to support their Planning processes, and are used directly as forecasting tools for the bank's CCAR PPNR processes

· These models are used by the Interest Rate Risk Management function, including supporting the Funds Transfer Pricing framework, in the management of the bank's interest rate risk

· The common structure of these models is that they translate projections of economic environment scenarios into forecasts for their Balance Sheet and Income Statement

· In addition, the team supports broader Treasury ALM quantitative analytical needs

Responsibilities include:

· Develop statistical models for the forecasting of the Balance Sheet and Income Statement, for use in the business planning processes, risk management processes, and for regulatory-based stress testing processes

· Develop models such that the model can translate macroeconomic and financial market indicators into scenario-based forecasts

· Fully document all developed models for use during reviews with senior management, model validation, business and functional teams, internal/external audit, and regulatory agencies (e.g., Fed, OCC, FDIC)

· Partner with business leaders such that the development, implementation, and use of developed forecasting models, ensures the appropriate design and use

· Partner with the Operations and Technology team to ensure timely, efficient, and accurate implementation of developed models

Qualifications Required:

· Minimum 3 years of experience in developing advanced statistical models for use in a financial institution setting

· Advanced degree in quantitative discipline (e.g., Statistics, Economics, Finance), Ph.D. preferred

· Proven track record of successful independent model development, with proven track record of successful interaction with business stakeholders, internal model risk management and audit, and external regulators

· Experience participating in complex end-to-end model development projects (business requirements, data capture, model design, build, validation, implementation, and use)

· Eagerness to learn about the relationship between the economic environment and the balance sheet/income statement

· Expert programming skills to develop statistical models, with expert capabilities in statistical software packages such as SAS, R, or Python preferred.

· Experience utilizing a Oracle database platform, including SQL scripting, preferred

· Experience developing models in a regulated environment (e.g., Fed, OCC, FDIC) preferred

· Excellent communication and interpersonal skills to allow collaboration with colleagues

· Proven track record of successfully migrating models from development through production implementation