Data Quantitative Analyst - Credit Risk (Hybrid - Buffalo, NY)

About the position OVERVIEW: Explores and manipulates data, builds models, and employs other statistical methods to conduct advanced analysis to understand/predict relationships between variables and provide data driven insights to guide strategic business decisions. Responsible for monitoring, evaluating, and interpreting data on the Bank’s Commercial Loan portfolio as it relates to the Credit Risk Rating Framework including preparation of trend analysis, exposure limits and various risk identification reports. Develop tools allowing for the monitoring of movements in the portfolio, identify emerging risks and make recommendations to management. Leverage risk experience and business knowledge to assist in planning initiatives to accomplish enterprise-wide goals around the Commercial Portfolio. POSITION RESPONSIBILITIES: Contribute to the effective management of commercial credit risk by supporting the Risk Rating Framework through analytical practices, adherence to regulatory guidance, and understanding of M&T Credit Culture. Assist with the review of the Probability of Default and Loss Given Default Masterscales, and the use of scorecards to assign credit risk ratings. Recommend improvements to Credit Risk Management. Support the PD and LGD Masterscales through large commercial datasets using statistical analysis in Statistical Analysis System (SAS), PYTHON or similar tool to properly compare estimates to historical performance. Communicate analytical results to Bank-wide stakeholders. Collaborate with Model Risk Management to ensure compliance with model governance requirements, including documentation updates, performance monitoring and validation support for department-owned models. Provide financial analysis and data support to other groups/departments across the Bank as required. Develop Knowledge around various Banking Regulatory requirements. Regularly present portfolio risk summaries and dashboards to management and governance committees. Lead special projects as requested by Management. Leadership/mentor junior staff. Adhere to applicable compliance/operational risk controls in accordance with Company or regulatory standards and policies. 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.

Responsibilities

• Contribute to the effective management of commercial credit risk by supporting the Risk Rating Framework through analytical practices, adherence to regulatory guidance, and understanding of M&T Credit Culture.
• Assist with the review of the Probability of Default and Loss Given Default Masterscales, and the use of scorecards to assign credit risk ratings.
• Recommend improvements to Credit Risk Management.
• Support the PD and LGD Masterscales through large commercial datasets using statistical analysis in Statistical Analysis System (SAS), PYTHON or similar tool to properly compare estimates to historical performance.
• Communicate analytical results to Bank-wide stakeholders.
• Collaborate with Model Risk Management to ensure compliance with model governance requirements, including documentation updates, performance monitoring and validation support for department-owned models.
• Provide financial analysis and data support to other groups/departments across the Bank as required.
• Develop Knowledge around various Banking Regulatory requirements.
• Regularly present portfolio risk summaries and dashboards to management and governance committees.
• Lead special projects as requested by Management.
• Leadership/mentor junior staff.
• Adhere to applicable compliance/operational risk controls in accordance with Company or regulatory standards and policies.
• 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’s degree and a minimum of 3 years of related experience, or in lieu of a degree, a combined minimum of 7 years higher education and/ or work experience, including a minimum of 3 years related experience
• Intermediate skills in programming languages such as SQL, SAS, Python or similar
• Experience working in large databases

Nice-to-haves

• 4 or more years related work experience in data analysis
• Experience working with a statistical analysis software package
• Experience with developing statistical models.

Benefits

• As an employer of choice, we are proud to offer competitive benefits ranging from medical and retirement to forty hours of paid volunteer time, each year.

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