M&T Bank is looking for a Quantitative Risk Analyst to join our Consumer Credit Risk Management team. In this hybrid role, you will leverage large datasets to drive data-informed decisions and manage credit risk, translating analytical insights into actionable business strategies.

What You'll Do

Establish, monitor, evaluate, and interpret data with a credit risk management focus.
Translate analytical insights into actionable business strategies.
Develop analytical and business acumen for supported product lines.
Perform data manipulation and analysis using SAS, Python, SQL, and Microsoft Office.
Present results and recommendations to various stakeholders.
Track portfolio performance and risk strategy results.
Incorporate observations and data into existing processes and models to improve predictive results.
Identify deviations from forecast/expectations and explain variances.
Identify risk and/or opportunities.
Understand and adhere to the company’s risk governance and regulatory standards, policies, and controls.
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 risk governance standards.
Complete other related duties as assigned.

What We're Looking For

A Bachelor degree in Mathematics, Statistics, Quantitative Analysis, or another technical discipline, OR a combined minimum of 6 years higher education and/or work experience including a minimum of 2 years relevant experience.
Minimum of 2 years relevant experience.
Banking or Financial Services experience.
Advanced knowledge of SQL and Microsoft Office.
Ability to utilize analytics collaboratively across business functions and product lines to derive optimum solutions.
Demonstrated ability to communicate complex concepts.