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Quantitative Risk Analyst Jobs in Buffalo, NY (NOW HIRING)

M&T Bank

Model Risk Analyst-Validation

Buffalo, NY · On-site

$91K - $101K/yr

Title: Model Risk Analyst - Validation Job Location: One M&T Plaza, Buffalo, NY 14203. Ensure the ... Perform validation and analysis of expert judgment or qualitative factors that augment quantitative ...

M&T Bank

Model Risk Analyst-Validation

Buffalo, NY · On-site

$91K - $101K/yr

Title: Model Risk Analyst - Validation Job Location: One M&T Plaza, Buffalo, NY 14203. Ensure the ... Perform validation and analysis of expert judgment or qualitative factors that augment quantitative ...

Citigroup, Inc.

Credit Risk Officer

Getzville, NY · On-site

Assess analyst work and creditworthiness as a senior on the team and assign appropriate credit ... both quantitative and qualitative factors to perform reviews/renewals for new and existing ...

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Quantitative Risk Analyst information

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$54.7K

$129.7K

$232.5K

How much do quantitative risk analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for quantitative risk analyst in Buffalo, NY is $129,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $140,900.00 per year, depending on experience, location, and employer.

What are some common challenges a Quantitative Risk Analyst faces when integrating new data sources into risk models?

Quantitative Risk Analysts often encounter challenges related to data quality, consistency, and compatibility when integrating new data sources into risk models. Ensuring that the data is accurate, timely, and relevant requires rigorous validation and sometimes complex data cleaning processes. Additionally, analysts must adapt existing risk models to accommodate new variables, which may involve re-calibrating parameters or even restructuring parts of the model. Effective collaboration with IT and data engineering teams is essential to streamline data integration and maintain model reliability.

What are the key skills and qualifications needed to thrive as a Quantitative Risk Analyst, and why are they important?

To thrive as a Quantitative Risk Analyst, you need strong analytical and mathematical skills, experience with statistical modeling, and typically a degree in finance, mathematics, statistics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with risk management systems and financial databases are important technical requirements. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for explaining complex analyses to stakeholders. These skills are crucial for accurately identifying, measuring, and mitigating financial risks in dynamic market environments.

What is the difference between Quantitative Risk Analyst vs Credit Risk Analyst?

AspectQuantitative Risk AnalystCredit Risk Analyst
Required CredentialsDegree in finance, economics, or mathematics; certifications like FRM or CFADegree in finance, economics, or related; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, investment firms, risk management departmentsBanks, lending institutions, credit agencies
Employer & Industry UsageUsed across finance sectors for risk modeling and analysisPrimarily in banking and lending for assessing creditworthiness
Comparison Search IntentUnderstanding differences in risk analysis rolesDistinguishing credit-specific risk roles from broader risk analysis

While both roles involve risk assessment and require similar credentials, a Quantitative Risk Analyst focuses on modeling and analyzing various financial risks using quantitative methods across multiple risk types. In contrast, a Credit Risk Analyst specializes in evaluating creditworthiness and managing credit risk specifically within lending and banking sectors.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a professional who uses mathematical models, statistical techniques, and data analysis to assess and manage financial risks within an organization. They typically evaluate potential losses from market movements, credit defaults, or operational failures and help develop strategies to mitigate those risks. Their work is crucial in industries such as banking, investment, insurance, and asset management, where understanding and controlling risk is essential for financial stability and compliance. Quantitative Risk Analysts often work with complex financial instruments and large datasets, requiring strong analytical and programming skills.
What are the most commonly searched types of Quantitative Risk Analyst jobs in Buffalo, NY? The most popular types of Quantitative Risk Analyst jobs in Buffalo, NY are:
What are popular job titles related to Quantitative Risk Analyst jobs in Buffalo, NY? For Quantitative Risk Analyst jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst jobs in Buffalo, NY look for? The top searched job categories for Quantitative Risk Analyst jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Quantitative Risk Analyst jobs? Cities near Buffalo, NY with the most Quantitative Risk Analyst job openings:
Quantitative Risk Analyst jobs near you
Infographic showing various Quantitative Risk Analyst job openings in Buffalo, NY as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $129,682 per year, or $62.3 per hour.
Indirect Lending Quantitative Risk Analyst Lead

Indirect Lending Quantitative Risk Analyst Lead

M&T Bank

Buffalo, NY

$103K - $171K/yr

Full-time

Posted 3 days ago

M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 185 frontline employees who took The Breakroom Quiz

88th of 170 rated banks

Job description

Overview:

Perform advanced data and credit risk analysis to identify and quantify risks in M&T's $19B Indirect lending portfolios. Support unit (dept.) in data analysis, portfolio deep dives, and loss estimation activities. Provide oversight and credit risk expertise during effective challenge efforts.

Primary Responsibilities:
  • Lead Retail Quantitative Analysts in performing portfolio deep dives, asset quality monitoring, and interpreting data with a risk management focus with an understanding of business strategy.
  • Mentor and supervise the work of junior team members and assist in the development of their analytics acumen in areas such as segmentation analysis, logistic regression, decision trees and data visualization.
  • Demonstrated working knowledge of Credit Risk databases to provide data and 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 in to existing models to improve predictive results.
  • 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.
Education and Experience Required:

Bachelor degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline,
OR in lieu of degree,
A combined minimum of 9 years higher education and/or work experience to include a minimum of 5 years relevant experience.
-OR-
Master's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, with minimum of 3 years relevant experience,
OR in lieu of degree,
A combined minimum of 9 years higher education and/or work experience to include a minimum of 3 years relevant experience
Minimum of 5 years relevant experience
Banking or Financial Services experience.
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.

Education and Experience Preferred:

Credit Analysis experience

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $103,000.00 - $171,600.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.LocationBuffalo, New York, United States of America

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