Position Responsibilities:• Conduct analyses of origination, financial, demographic, behavioral, market, and economic date. Interpret results, present findings and recommendations to senior management.• Create credit risk models for the prediction and forecasting of expected loss within the Consumer portfolios.• Define, develop and implement strategies for underwriting to include policies for automated decision 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.• Interaction with Senior Management, Consumer Product Management, external consultants, vendors, and peer banks.
Basic Qualifications:
• Bachelor’s Degree in Quantitative Finance, Econometrics, Statistics, Mathematics, or other related discipline required. Equivalent experience in risk quantitative position will be considered.• Minimum two to four 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.• Two to four years experience in preparing written documentation and/ or papers/ publications.• Technical experience in Mainframe and/ or PC environments. Ability to apply technical skills to sold 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.• Two to four years experience with SAS or other modeling or statistical software.
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