Fair Lending Quantitative Risk Analyst Lead

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 Apply tot his job