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SAS Platform Credit Risk Quantitative Modeler

Company Name:
Analytiks International
SAS Platform Credit Risk Quantitative Modeler
Financial Services Company
On-Site: Buffalo, NY
Contract Duration: 3-6 Months with possible extension
Start Date: ASAP

Skill Set and Job Requirements
Statistician / Modeler needed to support the analytical, reporting and data needs of the Retail Credit Risk Group. Support the business unit and overall bank strategic initiative relating to Retail Credit Risk Management. The candidate will be responsible for identifying and integrating new sources of data to drive stronger, industry leading credit analytics. This candidate will leverage data to implement controls, determine accountability and identify corrective action through analytics. A thorough understanding of the credit lifecycle is critical to the success of this individual, along with a strong data and math background.

The candidate will be required to use data mining, predictive modeling and statistical techniques to solve business problems.
The candidate will be required to mentor/supervise the work of junior team members in order to develop their statistical modeling skills in areas such as segmentation analysis, logistic regression, decision trees, and multivariate analysis
Ability to use analytics in a collaborative effort across functions to derive optimum solutions to business problems.
Demonstrated problem solving skills
Demonstrated ability to effectively communicate (written and verbal) technical and analytical information to a variety of interested parties at all levels.
2 years proven experience with SAS, SAS Enterprise Miner, or other statistical modeling software is required.
Experience data mining large databases
Assist in establishing, monitoring, evaluating, developing and implementing strategies for all aspects of risk management.
Extensive knowledge of credit risk databases to provide data and analytical support to senior management team.
Perform analysis of data using statistical analysis tools including SQL, SAS, and Excel, and present results and recommendations to management.
Track actual portfolio performance and credit risk management strategy results.
Identify deviations from forecast/expectations and explain variances. Identify risk and/or opportunities.
Prepare exhibits and supporting materials and develop recommendations for credit policy, and provides loss forecasts, demographic and credit limit utilization analysis.
Provide financial analysis and data support to other groups/departments including Finance, Marketing, Funding, Collections, and Corporate Development as needed.
Perform portfolio management campaign tracking and analysis
Identify opportunities to leverage statistical solutions to business problems
Specify and model the relationship between appropriate macroeconomic factors and credit risk outcomes such as losses and delinquencies.
Enterprise Miner/Data Mining Certificate Required

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