Credit Modeling Quantitative Analyst II (Hybrid - See potential locations in job description)

M&T Bank • Iselin, NJ

135d • $70,023 - $116,706

About The Position

This is a hybrid position requiring in-office work three (3) days every week and it will be based in an M&T Office in either Buffalo, NY, Iseline, NJ, NYC, NY, or Bridgeport, CT. The position provides experienced support in the development and analysis of quantitative/econometric behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning. The role supports more experienced analysts and management in data analysis, model development efforts and ad-hoc analysis as needed, while also providing guidance and direction to less experienced personnel.

Requirements

• Bachelor’s degree and a minimum of 1 years’ proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 5 years’ higher education and/or work experience.
• Minimum of 1 years’ on-the-job experience with pertinent statistical software packages (SAS, Python, Stata, R), especially SAS & Python.
• Credit Risk Modeling experience.
• Logistic regression in credit risk modeling experience.
• Time Series Analysis & Monte Carlo simulation experience.
• Minimum of 1 years’ on-the-job experience with data management environment, such as SQL Server Management Studio.
• Minimum of 1 years’ experience in managing and analyzing large data sets.

Nice To Haves

• Masters’ of Science or Doctorate degree in Statistics, Economics, Finance or related field.
• Minimum of 2 years’ statistical analysis programming experience.
• Financial Risk Manager (FRM) or Chartered Financial Analyst (CFA) designation.
• Fluency and high proficiency in econometric/statistical techniques.
• Experience in balance sheet management and mathematical modeling of financial instruments.
• Knowledge and familiarity with key aspects of model risk management and model validation.

Responsibilities

• Assist in researching and developing quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management.
• Prepare, manage and analyze large customer loan, deposit and/or financial data sets for statistical analysis in SQL or similar tools.
• Run regressions, programming routines and other econometric analyses to specify models using appropriate statistical software.
• Communicate results to team members, Treasury management and Bank-wide stakeholders.
• Execute models in production environment and communicate analytical results.
• Track portfolio performance, model performance, campaign tracking and risk strategy results.
• Incorporate observations and data into existing models to improve predictive results.
• Develop and maintain satisfactory model documentation.
• Provide financial analysis and data support to other groups/departments across the Bank.
• Support engagements with colleagues in Model Risk Management for model validation exercises.
• Conduct business in compliance with regulatory guidance and adhere to applicable compliance/operational/model risk controls.

Benefits

• Competitive benefits ranging from medical and retirement to forty hours of paid volunteer time each year.

What This Job Offers

• Education Level: Bachelor's degree