M&T Bank

Credit Modeling Quantitative Analyst I

M&T Bank

full-time

Posted on:

Origin:  • 🇺🇸 United States

Visit company website
✨ AI Apply
Manual Apply

Salary

💰 $72,262 - $120,436 per year

Job Level

Junior

Tech Stack

PythonSQL

About the role

  • Assist in development and analysis of quantitative/econometric behavioral models for credit risk, interest rate risk and liquidity risk management
  • Prepare, manage and analyze large customer loans and deposit data sets using SQL or similar tools
  • Specify and estimate econometric models; run regressions (time series, logistic), programming routines and other econometric analyses
  • Communicate results with graphics and tables to Treasury management, business lines and Risk Management
  • Execute models in production and track portfolio and model performance
  • Incorporate observations to improve predictive results and identify deviations and risks/opportunities
  • Support development and maintenance of model documentation, process procedures and performance monitoring guidelines
  • Engage with Model Risk Management for validation exercises and comply with regulatory guidance and internal controls
  • Provide financial analysis and data support across the Bank and complete other related duties as assigned

Requirements

  • Bachelor's degree from accredited four year institution or in lieu of a degree, a combined minimum of 4 years’ higher education and/or work experience
  • Proven experience in analyzing data sets and explaining results through concise written and verbal communication and charts/graphs
  • Minimum of 1 years' statistical analysis programming experience
  • Minimum of 1 years' proven quantitative or data-oriented experience, including on-the-job use of statistical data analysis and data management environment such as SQL
  • Experience with statistical software such as SAS, Stata, R or Python (especially SAS)
  • Credit risk modeling experience; logistic regression in credit risk modeling experience
  • Fluency and high proficiency in econometric/statistical techniques, especially time-series analysis and logistic regression
  • Monte Carlo simulation experience
  • Prior experience in banking and financial services industry (preferred)
  • Advanced knowledge of spreadsheet, word processing and presentation software
  • Proven track record for being able to work autonomously and within a team; demonstrated leadership and desire to learn