Title: Treasury Quantitative Expert Job Location: 850 Main Street, Bridgeport, CT 06604. Telecommuting permitted up to 40% of the week. Job Description: Research and develop quantitative and qualitative models used for credit risk, interest rate risk, and liquidity risk management, as well as balance sheet, capital planning and loss forecasting, including but not limited to, loan delinquency, default and loss models, loan prepayment and utilization models, deposit attrition models, and financial instrument valuation methods within a variety of risk frameworks. Lead the execution, maintenance of above-mentioned models in production environment using internal/external data/environment, advanced technologies and agile modeling principles; communicate analytical results to appropriate stakeholders, track portfolio performance, model performance, campaign tracking and risk strategy results; work with a wide range of internal / external customers, including executive management, regulators to explain the benefits, limitations, assumptions and requirements for the above mentioned proposed models and forecasts. Perform conceptual and statistical soundness testing of the above-mentioned models as part of validation and internal and external audit within the model risk management (MRM) practice following regulatory guidelines and covering a variety of functional areas including model monitoring, assist in implementation of the models, regulatory and internal stress testing, allowance estimation within different risk frameworks, credit scoring, capital management etc. Lead the projects focusing on the development, validation and audit of the above-mentioned models (including assist in budgeting, staffing, performance appraisal, coaching of resources, and delivery to the end client). Minimum requirements: Bachelor's degree, or foreign equivalent, in Statistics, Mathematics, Economics, Computer Science, Finance, Risk Management or a related technical field plus six (6) years of experience in the job offered or as a Quantitative Risk Modeler or related occupation OR eight (8) years of experience in the job offered or as a Quantitative Risk Modeler or related occupation with no degree. Requires six (6) years of experience with each of the following: Quantitative risk model development, review, and validation; Model Risk Management Practices; Statistical and Econometric Modeling; Programming within SAS, SQL, Python, and VBA in Excel; Stress Testing; Project and People management; Databased experience with SQL server, Teradata, and Azure Cloud. Salary: $184,625.00 - $194,625.00 per year Location Bridgeport, Connecticut, United States of America Great companies have an enduring sense of purpose. At M&T, our purpose is a simple one: make a difference in people’s lives and uplift the communities we serve. M&T Bank Corporation is a financial holding company headquartered in Buffalo, New York. M&T’s affiliates offer advice, guidance, expertise and solutions across the entire financial spectrum, combining M&T Bank’s traditional banking services with the wealth management and institutional capabilities offered by Wilmington Trust. M&T Bank has a network of over 1,000 branches and 2,200 ATMs that span 12 states from Maine to Virginia and Washington, D.C. For more than 165 years, M&T has strived to take an active role in our communities and build long-lasting relationships with our customers. We are a bank for communities—combining the capabilities of a large bank with the care of a locally focused institution. As an employer of choice, we are proud to offer competitive benefits ranging from medical and retirement to forty hours of paid volunteer time, each year. Our core values – integrity, ownership, collaboration, curiosity, and candor – drive the work we do. We seek to further build upon our record of success by bringing in top talent and fresh skill sets while continuing to support the growth and development of all our team members. View M&T’s Human Capital Report to learn more. Ready to join our team? Submit your application today! If you are unable to apply through this site due to technical issues or need an accommodation to apply, please contact us at
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