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$28.3K

$102.1K

$168.3K

How much do business risk manager jobs pay per year?

As of Sep 1, 2026, the average yearly pay for business risk manager in Buffalo, NY is $102,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,568.00 and $117,873.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a business risk manager?

To thrive as a Business Risk Manager, you need strong analytical skills, risk assessment expertise, and a background in finance, business, or a related field, often backed by a bachelor's degree or higher. Familiarity with risk management frameworks, regulatory compliance systems, and certifications like FRM (Financial Risk Manager) or CRM (Certified Risk Manager) is typically required. Exceptional communication, problem-solving, and stakeholder management skills help you effectively identify, mitigate, and communicate risks across an organization. These competencies are crucial for proactively managing threats, ensuring regulatory compliance, and supporting the long-term stability and success of the business.

How does a business risk manager typically collaborate with other departments to address organizational risks?

As a Business Risk Manager, cross-functional collaboration is a key part of the role. You’ll regularly work with departments such as finance, compliance, operations, and IT to identify potential risks, assess their impact, and develop mitigation strategies. This often involves facilitating risk assessment workshops, sharing reports, and ensuring that risk controls are integrated into business processes. Effective communication and relationship-building skills are essential, as you’ll act as a bridge between senior management and operational teams to align risk management efforts with organizational goals.

What is the difference between Business Risk Manager vs Risk Analyst?

AspectBusiness Risk ManagerRisk Analyst
CredentialsCertifications like CRM, FRM, or CRC; bachelor's degree in business, finance, or related fieldCertifications such as FRM or CRM; bachelor's degree in finance, economics, or related field
Work EnvironmentStrategic planning, risk assessment, and policy development in corporate settingsData analysis, risk modeling, and reporting in finance or insurance firms
Employer & IndustryCorporations, financial institutions, insurance companiesFinancial services, consulting firms, insurance companies

The Business Risk Manager focuses on developing risk strategies and policies at a strategic level, while the Risk Analyst primarily conducts data analysis and risk assessments. Both roles require similar certifications and often work within the same industries, but their responsibilities differ in scope and focus.

Do business risk managers make good money?

Business risk managers typically earn a competitive salary that varies based on experience, industry, and location. According to industry data, median annual salaries range from $80,000 to over $120,000, with higher earnings possible for those with advanced certifications or in senior roles. The profession often requires strong analytical skills and knowledge of risk assessment tools.

How much do business risk managers make?

Business risk managers typically earn a median annual salary of around $100,000, with salaries ranging from approximately $70,000 to over $140,000 depending on experience, industry, and location. Advanced certifications and strong analytical skills can lead to higher compensation in this role.

What does a business risk manager do?

A business risk manager identifies, assesses, and develops strategies to mitigate potential risks that could impact an organization's operations, financial health, or reputation. They analyze data, implement risk management frameworks, and work with various departments to ensure compliance and resilience. Strong analytical skills and knowledge of industry regulations are essential for this role.

What are popular job titles related to Business Risk Manager jobs in Buffalo, NY?

For Business Risk Manager jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Business Risk Manager jobs in Buffalo, NY look for?

The top searched job categories for Business Risk Manager jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Business Risk Manager jobs?

Cities near Buffalo, NY with the most Business Risk Manager job openings:

Business Risk Manager jobs near you

Credit Risk Model Development Quantitative Analyst II - Consumer Portfolio (Hybrid - see job descrip

M&T Bank

Buffalo, NY • On-site

Full-time

Re-posted 8 days ago

M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 187 frontline employees who took The Breakroom Quiz

79th of 174 rated banks

Job description

** Work Location/Arrangement: This is a hybrid position requiring in-office work four (4) days every week at an M&T office in Buffalo, NY, Bridgeport, CT, Wilmington, DE, Baltimore, MD, Washington, DC, or possibly NY, NY.
**If the final candidate is not near one of the above referenced locations, there might be a possibility for a remote arrangement.
Overview:
Provides experienced support in the development and analysis of quantitative/econometric behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning. Supports more experienced analysts and management in data analysis, model development efforts and ad-hoc analysis as needed. Provides guidance and direction to less experienced personnel as needed.
Primary Responsibilities:
  • With experienced skillset, assist in researching and developing quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning, including but not limited to, loan delinquency, default and loss models, loan prepayment and utilization models, deposit attrition models and financial instrument valuation methods.
  • Prepare, manage and analyze large customer loan, deposit and/or financial data sets for statistical analysis in Structured Query Language (SQL) or similar tool to properly specify and estimate econometric models to understand customer or Bank behavior for purposes of credit, interest rate, liquidity or stressed capital risk management. Understand the context of the Bank's data and businesses to ensure properly developed models.
  • Run regressions (including time series and logistic regression), programming routines and other econometric analyses to specify models using appropriate statistical software; communicate results, including graphic and tabular forms, to fellow team members, Treasury management and Bank-wide stakeholders, including the business lines and Risk Management colleagues to demonstrate key risk drivers and dynamics of model output.
  • Execute models in production environment; communicate analytical results to Bank-wide stakeholders.
  • Track portfolio performance, model performance, campaign tracking 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.
  • Develop and maintain satisfactory model documentation, including process narratives and performance monitoring guidelines to serve as reference source.
  • Provide financial analysis and data support to other groups/departments across the Bank as required. Support engagements with colleagues in Model Risk Management for model validation exercises.
  • Provide guidance and direction to less experienced personnel regarding all aspects of data and financial analysis and development and management of predictive statistical models.
  • Conduct business in compliance with regulatory guidance including SR (Supervision and Regulation Letters) 10-1, SR 10-6, SR 11-7, Enhanced Prudential Standards, etc. Adhere to applicable compliance/operational/model risk controls and other second line of defense and regulatory standards, policies and procedures.
  • 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.

Scope of Responsibilities:
The position serves as an experienced analyst in the use of statistical programming languages to analyze Bank datasets and development, implementation and maintenance of behavioral models. It is important for the position to communicate with clear narratives, compelling data visualization and technical precision, both in-person and in writing, to enable audiences to understand the analyses and forecasts. The position partners and collaborates with colleagues in related functions, including Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management and business lines to implement and understand models for Bank use. This role is highly technical in nature and requires demonstrated attention to detail, execution and follow-up on multiple initiatives with Treasury and across the Bank. The ability to identify, analyze, rationalize and communicate complex business, data and statistical problems and recommend corresponding solutions is a key factor of success in this role.
Supervisory/Managerial Responsibilities:
Not Applicable
Education and Experience Required:
  • Bachelor's degree and a minimum of 1 years' proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 5 years' higher education and/or work experience, including a minimum of 1 years' proven quantitative behavior modeling experience
  • Minimum of 1 years' on-the-job experience with pertinent statistical software packages (SAS, Python, Stata, R)
  • Strong Python skills required
  • Model development experience required, including familiarity with logistic regression and linear regression
  • Minimum of 1 years' on-the-job experience with data management environment, such as SQL Server Management Studio
  • Minimum of 1 years' experience in managing and analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs

Education and Experience Preferred:
  • Masters' of Science or Doctorate degree in Statistics, Economics, Finance or related field in the quantitative social, physical, or engineering sciences, with proven coursework proficiency in statistics, econometrics, economics, computer science, finance or risk management
  • Minimum of 2 years' statistical analysis programming experience
  • Credit model development experience; Consumer portfolio model development experience highly preferred
  • One (1) or more years of on-the-job Python programming experience
  • Fluency and high proficiency in econometric/statistical techniques, especially time-series analysis, panel data methods and logistic regression
  • Experience in balance sheet management and mathematical modeling of financial instruments offered by banks
  • Knowledge and familiarity with key aspects of model risk management and model validation, including SR-11-7 guidance on model risk management
  • Proven track record for being able to work autonomously and within a team environment
  • Demonstrated leadership skills
  • Strong desire to learn and contribute to a group

Physical Requirements:
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $71,600.00 - $119,300.00 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

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