| Job Description: | Responsibilities:
Conduct analyses of origination, financial, demographic, behavioral, market, and economic data.
Interpret results, present findings and recommendations to senior management.
Create credit risk models for the prediction and forecasting of expected loss within the Business Banking portfolio.
Create Basel II compliant models for the Probability of Default (PD), Loss Given Default (LGD) and Loan Equivalency (LEQ).
Determine optimum origination strategies based on profit, expected loss, elasticity of demand, fixed and variable costs, and capital requirements.
Define, develop, and implement strategies for underwriting to include policies for automated decisioning of credit requests.
Partner with the business to identify opportunities for process efficiency gains through the use of empirically-based decision strategies for credit and marketing activities.
Ability to develop ad hoc processes to address efficiency gains, and translate into repeatable procedures.
Interface with a wide range of end-client personnel to explain the benefits, limitations, assumptions, requirements for proposed scorecards, solutions, and strategies.
Documentation and validation of results and processes.
Significant interaction with Senior Management, Business Banking, external consultants, vendors, and peer banks.
Basic Qualifications:
Bachelor’s degree in Quantitative Finance, Econometrics, Statistics, Mathematics, or other related discipline
Minimum 5 years experience in quantitative analysis, preferably in the financial services industry with an emphasis in the area of risk management
Demonstrated technical ability to obtain information from disparate sources, including production and ad hoc systems, linking and analyzing the information, performing data integrity checks and exploratory data analysis
5 years experience preparing written documentation and/or papers/publications
Technical experience in Mainframe and/or PC environments
Ability to apply technical skills to solve business process problems
Experience with SAS or other modeling or statistical software Ideal Qualifications:
Master’s degree in Quantitative Finance, Econometrics, Statistics, Mathematics, or other related discipline
|
Send to friend
Make an appointment