Data Quantitative Analyst - Credit Risk

mtb; Buffalo (NY); On-site; USD 86,000 - 143,000; Full time

Job summary

M&T Bank in Buffalo, NY is seeking a data analyst to monitor and interpret the Commercial Loan Portfolio and Credit Risk Rating Framework. The role conducts advanced quantitative analysis, data exploration, and statistical techniques to identify trends, assess portfolio risk, and support risk reporting.

Responsibilities include supporting the PD and LGD Masterscales, constructing visualizations, ensuring model governance compliance, and collaborating with various teams on risk identification and

Qualifications

• Bachelor's degree and a minimum of 3 years of related experience
• Familiarity with a common programming language
• Experience working in large databases

Responsibilities

• Support the Risk Rating Framework through analytical practices, regulatory alignment and understanding of culture
• Assist with review of PD and LGD Masterscales and use scorecards to assign risk ratings
• Support PD and LGD Masterscales using large datasets and SAS/Python analyses and communicate results
• Compile and analyze data from multiple sources to identify trends and explain variances for risk reporting
• Collaborate with Model Risk Management to ensure governance, documentation, monitoring, and validation support
• Provide financial analysis and data support to other groups across the Bank as needed
• Develop clear visualizations and reporting to explain analytical findings and portfolio trends
• Provide guidance to junior analysts
• Adhere to risk and regulatory standards and escalate issues appropriately
• Design and maintain internal controls to mitigate risk with ongoing improvements
• Maintain internal controls and address audit and regulator points

Skills

SQL

Python

SAS

Statistical analysis

Education

Bachelor's degree

3+ years related experience

Tools

Julia

Java

Job description

OVERVIEW:

Responsible for monitoring, evaluating, and interpreting data related to the Bank's Commercial Loan Portfolio and Credit Risk Rating Framework. Performs advanced quantitative analysis, data exploration, and statistical techniques to identify trends, assess portfolio risk, monitor exposure limits, and produce risk identification reporting. Provides data-driven insights that support risk management, strategic decision-making, and the ongoing effectiveness of the Bank's credit risk rating processes.

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 using large commercial datasets and statistical analysis in Statistical Analysis System (SAS), Python, or similar tools to compare estimates to historical performance and communicate analytical results to Bank-wide stakeholders.
• Compile, combine, profile, and analyze data from multiple sources to identify trends, monitor portfolio performance, explain variances, and support risk identification reporting.
• 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 and departments across the Bank as required.
• Develop clear visualizations and reporting to explain analytical findings, portfolio trends, and risk-related insights.
• Provide guidance to junior analysts.
• 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.
• Design, implement, maintain, and enhance internal controls to mitigate risk on an ongoing basis.
• 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.
• Promote an environment that supports belonging and reflects the M&T Bank brand.

MINIMUM QUALIFICATIONS REQUIRED:

• 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
• Familiarity with a common programming language
• Experience working in large databases

IDEAL QUALIFICATIONS PREFERRED:

• 4 or more years related work experience in data analysis
• Intermediate skills in programming languages such as SQL, SAS, Python, Julia or Java
• Experience working with a statistical analysis software package
• Experience with one or more cloud databases.
• Experience working within an agile environment

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $85,800.00 - $143,000.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.

Location

Buffalo, New York, United States of America