Job Description:
• Perform advanced data and statistical analysis in support of the creation and maintenance of statistical models, including Regression and Multivariate models.
• Lead Quantitative Analysts in establishing, monitoring, evaluating and interpreting data with a risk management focus with an understanding of business strategy.
• Mentor and supervise the work of junior team members and assist in the development of their statistical modeling acumen.
• Demonstrated working knowledge of Credit Risk databases to provide data and analytical support to Senior Management.
• Perform data manipulation and analysis using SQL, SAS and Microsoft Excel and present results and recommendations to Credit Risk Management.
• Track portfolio performance and risk strategy results.
• Provide guidance and direction to lower level analysts regarding all aspects of data analysis and the construction of predictive statistical models.
• Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite.
• Identify risk-related issues needing escalation to management.
Requirements:
• Bachelor degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, OR in lieu of degree, A combined minimum of 9 years higher education and/or work experience to include a minimum of 5 years relevant experience.
• Master’s degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, with minimum of 3 years relevant experience, OR in lieu of degree, A combined minimum of 9 years higher education and/or work experience to include a minimum of 3 years relevant experience
• Minimum of 5 years relevant experience Banking or Financial Services experience.
• Experience with SAS, SAS Enterprise Miner and other Statistical Software Packages.
• Advanced Knowledge of SQL and Microsoft Office.
• Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions.
• Demonstrated ability to communicate complex concepts.
• Demonstrated ability to manipulate and analyze data across large databases.
Benefits:
• Health insurance
• Retirement plans
• Paid volunteer time
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