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Manager Risk Analytics Jobs in Buffalo, NY (NOW HIRING)

TriOptus LLC

Project Manager-Credit Risk

Buffalo, NY · On-site

Develop qualitative and quantitative analysis; produce summary documents for agenda driven meetings ... Credit Risk management and/or audit, regulatory or QA experience; strong understanding of risk ...

Anthropic

Insider Risk Investigator

Boston, NY

Perform technical analysis of logs from SIEM, DLP, UEBA systems * Leverage AI tools (Claude, Claude ... Demonstrated ability to operate independently with minimal oversight while managing sensitive cases ...

M&T Bank

Engineering Analytics Lead

Buffalo, NY

Leads the collection, integration, analysis, and predictive modeling of data across the Software ... Identify risk-related issues requiring escalation to management. * Promote an environment that ...

M&T Bank

Engineering Analytics Lead

Buffalo, NY · On-site

Leads the collection, integration, analysis, and predictive modeling of data across the Software ... Identify risk-related issues requiring escalation to management. * Promote an environment that ...

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All JobsRisk Analytics JobsManager Risk Analytics JobsManager Risk Analytics Jobs in Buffalo, NY

Manager Risk Analytics information

See Buffalo, NY salary details

$49.9K

$108.1K

$164.7K

How much do manager risk analytics jobs pay per year?

As of Aug 11, 2026, the average yearly pay for manager risk analytics in Buffalo, NY is $108,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $125,000.00 per year, depending on experience, location, and employer.

Is a Manager Risk Analytics a good career?

A Manager Risk Analytics role is a strong career choice for those interested in assessing and managing financial or operational risks using data analysis and statistical tools. It often requires expertise in risk modeling, programming, and industry regulations, and offers opportunities for advancement into senior management or specialized risk functions.

How does a manager risk analytics typically collaborate with other departments within an organization?

A Manager of Risk Analytics works closely with teams across the organization, such as finance, compliance, operations, and IT, to identify and mitigate potential risks. This role involves communicating complex analytical findings in an understandable way to non-technical stakeholders and supporting informed decision-making. Regular collaboration ensures that risk models and strategies align with business objectives and regulatory requirements. Effective teamwork and cross-departmental communication are essential to implementing robust risk management solutions.

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

AspectManager Risk AnalyticsRisk Analyst
CredentialsBachelor's or Master’s in Finance, Economics, or related field; professional certifications like FRM or CFABachelor's degree in Finance, Economics, or related field; some certifications preferred
Work EnvironmentLeads teams, manages risk projects, strategic planningAnalyzes data, prepares reports, supports risk management processes
Industry UsageUsed across banking, insurance, investment firmsCommon in financial services, corporate risk departments

The main difference is that a Manager Risk Analytics oversees risk teams and strategic initiatives, while a Risk Analyst focuses on data analysis and reporting. Both roles require similar credentials and are integral to risk management, but the manager has additional leadership responsibilities.

What does a manager risk analytics do?

A Manager of Risk Analytics leads a team responsible for analyzing data to identify, assess, and mitigate risks within an organization. They develop risk models, oversee the implementation of analytics tools, and provide insights that help guide business decisions. Their work helps organizations manage financial, operational, and strategic risks more effectively. Additionally, they often collaborate with other departments to ensure risk management strategies align with overall business goals.

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

To thrive as a Manager Risk Analytics, you need strong quantitative analysis skills, expertise in risk modeling, and a background in finance, statistics, or a related field—often supported by an advanced degree. Proficiency with statistical software (such as SAS, R, or Python), risk management systems, and relevant certifications like FRM or CFA is typically required. Exceptional leadership, communication, and problem-solving skills help you guide teams and translate complex data into actionable insights for stakeholders. These abilities are critical for accurately assessing risks, informing business decisions, and ensuring regulatory compliance.
What are popular job titles related to Manager Risk Analytics jobs in Buffalo, NY? For Manager Risk Analytics jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Manager Risk Analytics jobs in Buffalo, NY look for? The top searched job categories for Manager Risk Analytics jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Manager Risk Analytics jobs? Cities near Buffalo, NY with the most Manager Risk Analytics job openings:
Manager Risk Analytics jobs near you

Senior Quantitative Risk Analyst - BSA/AML (Hybrid - see job descriptions for potential work loca...

M&T Bank

Buffalo, NY • Hybrid

$85K - $143K/yr

Full-time

Posted 5 days ago

M&T Bank rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

78th of 171 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, Baltimore, MD, Timonium, MD, Wilmington, DE or New York, NY.

Overview

This position supports the development of statistical and machine learning models within a regulated environment. The role contributes to key components of the model development lifecycle-including data preparation, model development, testing/validation support, implementation, and monitoring-while working closely with senior modelers to deliver analytically sound and well-documented solutions. Development work is performed using both Python and SAS.

Primary Responsibilities

  • Support the design, development, testing, implementation, and monitoring of statistical and machine learning models
  • Prepare, transform, and analyze large datasets (e.g., transactions, customer behavior, entity data)
  • Partner with senior team members to translate business problems into analytical approaches
  • Contribute to model documentation, including methodology, assumptions, and monitoring frameworks
  • Develop and maintain analytical code using Python and/or SAS
  • Assist in model performance monitoring and identification of model issues or limitations
  • Support model validation, audit, and regulatory review processes
  • Collaborate with stakeholders across EDD, FIU, Technology, and Model Risk Management
  • Ensure adherence to internal controls and regulatory expectations
  • Provide guidance to junior analysts where appropriate
  • 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

Works under general guidance from more senior quantitative risk managers. Responsible for independent execution of defined analytical tasks and contributing to model development efforts. Builds technical expertise in AML modeling and governance.

Education and Experience Required

  • Bachelor degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline,
  • OR in lieu of degree A combined minimum of 7 years higher education and/or work experience to include a minimum of 3 years relevant experience.
    -OR-
  • Master's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, with minimum of 1 year relevant experience,
    OR in lieu of degree,
  • A combined minimum of 7 years higher education and/or work experience to include a minimum of 1 year relevant experience.
  • Minimum of 3 years relevant experience, Banking or Financial Services experience.

Preferred

  • Master's degree in a quantitative discipline
  • Experience in banking, financial services, or AML/BSA
  • Exposure to model validation or model risk management
  • Familiarity with machine learning techniques
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.LocationBuffalo, New York, United States of America

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