Senior Quantitative Risk Analyst

Role Overview

• Perform advanced credit risk data analysis in support of the consumer deposit overdrafts to identify areas of risk
• Evaluate the risk of proposed product, process, policy, and model changes
• Provide ongoing monitoring of credit metrics
• Forecast overdraft charge-off losses for capital adequacy planning and the annual operating plan
• Ensure compliance with internal governance processes and external regulatory requirements
• Provide expertise and guidance to first-line partners
• Support additional consumer unsecured products as needed
• Assist in establishing, monitoring, evaluating and interpreting data with a risk management focus with an understanding of business strategy
• Demonstrated working knowledge of relevant databases to provide data and credit risk 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
• Incorporate observations and data into existing models to improve predictive results
• Identify deviations from forecast/expectations and explain variances
• Identify risk and/or opportunities
• 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
• Promote an environment that supports belonging 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.

Requirements

• Bachelor degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, OR in lieu of degree, A combined minimum of 7 years higher education and/or work experience to include a minimum of 3 years relevant experience
• Master’s degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, with minimum of 1 year relevant experience, OR in lieu of degree, A combined minimum of 7 years higher education and/or work experience to include a minimum of 1 year relevant experience
• Minimum of 3 years relevant experience Banking or Financial Services experience
• Credit Analysis experience preferred
• 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.

Tech Stack

• SQL

Benefits

• health insurance
• retirement plans
• forty hours of paid volunteer time each year