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Treasury Quantitative Analyst I at m&t in Buffalo, New York

Posted in Other 30+ days ago.

Job Description:

Assists in 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. Supports senior analysts, lead analysts and M&T management in data analysis, model development efforts and ad hoc analysis as needed.

  • Assist in researching and developing quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning, including but not limited to, loan delinquency, default and loss models, loan prepayment and utilization models, deposit attrition models and financial instrument valuation methods.
  • Prepare, manage and analyze large customer loans and deposit data sets for statistical analysis in Structured Query Language (SQL) or similar toll to properly specify and estimate econometric models to understand customer or Bank behavior for purposes of interest rate, liquidity or stressed capital risk. Understand the context of the Bank's data and businesses to ensure properly developed models.
  • Produce and run regressions (including time series and logistic regression), programming routines and other econometric analyses to specify models using statistical software (e.g. such as SAS, Stata, R or Python); communicate results, including graphic and tabular forms of model development activities to fellow team members, Treasury management and Bank-wide stakeholders, including the business lines and Risk Management colleagues to demonstrate key risk drivers and dynamics of model output.
  • Execute models in production environment; communicate analytical results to Bank-wide stakeholders. Track portfolio performance, model performance, campaign tracking and risk strategy results. Incorporate observations and data in to existing models to improve predictive results.
  • Support the development and maintenance of satisfactory model documentation, including process procedures and performance monitoring guidelines to serve as reference source.
  • Provide financial analysis and data support to other groups/departments across the Bank as required, including Finance, Credit, Marketing, business product lines and Customer Asset Management
  • Engage with colleagues in Model Risk Management for model validation exercises.
    Conduct business in compliance with regulatory guidance including SR (Supervision and Regulation Letters) 10-1, SR 10-6, SR 11-7, Enhanced Prudential Standards, etc.
  • Adhere to applicable compliance/operational risk/model controls and other second line of defense policies and regulatory standards, policies and procedures.
  • 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.
  • Promote an environment that supports diversity and reflects the M&T Bank brand.
  • Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
  • Complete other related duties as assigned.

Required Qualifications:
  • Bachelor's degree, or in lieu of a degree, a combined minimum of 4 years' higher education and/or work experience
  • Proven ability to analyze data sets and explain results of analysis through concise written and verbal communication as well as charts/graphs

Preferred Qualifications:
  • Bachelor's degree in statistics, economics, mathematics, finance or related field in the quantitative social, physical, natural or engineering sciences, inclusive of proven coursework proficiency in statistics, econometrics, economics, computer science, finance or risk management
  • Minimum 1 year statistical analysis programming experience
  • Prior experience in banking and financial services industry
  • Experience with pertinent statistical software packages such as SAS, Stata R or Python
  • Fluency and high proficiency in econometric/statistical techniques, especially time-series analysis and logistic regression
  • Proven track record for being able to work autonomously, within a team environment, exhibiting demonstrated leadership and a strong desire to learn and contribute to a group
  • Minimum 2 years' proven quantitative or data-oriented experience, including on-the-job use of statistical data analysis and data management environment such as SQL
  • Advanced knowledge of pertinent spreadsheet, word processing and presentation software

We encourage candidates with relevant military experience to apply