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Quantitative Risk Cyber Fair Jobs (NOW HIRING)

Pavago

Risk Analyst

This role is responsible for building risk frameworks, conducting quantitative analysis, monitoring ... operational, compliance, cyber, and strategic risk categories • Identify emerging risks ...

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Senior Security Analyst

Overland Park, KS · On-site

$93K - $122K/yr

Develop and perform quantitative cyber risk assessments using models such as FAIR to estimate loss exposure, probability of threat events, and financial impact across critical assets and business ...

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Senior Security Analyst

Leawood, KS · On-site

$93K - $122K/yr

Develop and perform quantitative cyber risk assessments using models such as FAIR to estimate loss exposure, probability of threat events, and financial impact across critical assets and business ...

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Quantitative Risk Cyber Fair information

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$31K

$90.6K

$146K

How much do quantitative risk cyber fair jobs pay per year?

As of Jun 7, 2026, the average yearly pay for quantitative risk cyber fair in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What is the difference between Quantitative Risk Cyber Fair vs Cyber Risk Analyst?

AspectQuantitative Risk Cyber FairCyber Risk Analyst
CertificationsFRM, CFA, CISSPCISSP, CISA, CRISC
Work EnvironmentFinancial institutions, consulting firmsFinancial services, tech companies
Primary FocusQuantitative modeling of cyber risksRisk assessment and mitigation strategies
Common UsageRisk quantification, data analysisRisk reporting, policy development

While both roles involve managing cyber risks, Quantitative Risk Cyber Fair focuses on advanced data analysis and modeling to quantify cyber threats, often requiring strong quantitative credentials. Cyber Risk Analysts typically assess and develop strategies to mitigate risks, emphasizing risk management and communication skills. The roles overlap in industry and certifications but differ in their core responsibilities and focus areas.

What types of teams do Quantitative Risk professionals typically collaborate with in a cyber risk fair environment?

Quantitative Risk professionals in cyber risk fair environments often work closely with cybersecurity teams, IT departments, and business stakeholders. They collaborate to gather relevant data, assess potential risks, and translate technical cyber threats into quantifiable financial impacts. This cross-functional teamwork is essential for developing effective risk models and strategies that align with organizational goals. Regular communication ensures that risk assessments are both technically accurate and practically useful for decision-making.

What is a Quantitative Risk Cyber Fair?

A Quantitative Risk Cyber Fair is an event or program where professionals and organizations showcase their approaches to evaluating and managing cyber risks using quantitative methods. These fairs often include presentations, workshops, and networking opportunities focused on using data, statistics, and modeling to measure and mitigate cybersecurity threats. Attendees learn about the latest tools, frameworks, and industry best practices in cyber risk quantification, helping organizations make informed decisions about cybersecurity investments. The event is valuable for cybersecurity professionals, risk managers, and executives looking to improve their risk assessment capabilities.

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

To excel as a Quantitative Risk Cyber Fair professional, you need strong analytical skills, expertise in cybersecurity principles, and a solid background in statistics or mathematics, often backed by relevant degrees or certifications such as CISSP or FRM. Familiarity with risk modeling tools, programming languages like Python or R, and cybersecurity frameworks such as NIST or ISO 27001 is crucial. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this field. These competencies are vital for accurately assessing cyber risks, developing mitigation strategies, and effectively communicating risk insights to stakeholders.
Infographic showing various Quantitative Risk Cyber Fair job openings in the United States as of May 2026, with employment types broken down into 84% Full Time, 3% Part Time, 3% Temporary, 9% Contract, and 1% Nights. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.
Senior Quantitative Risk Manager - BSA/AML

Senior Quantitative Risk Manager - BSA/AML

M&T Bank

Buffalo, NY • On-site

$148K - $247K/yr

Full-time

Posted 19 days ago

M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 180 frontline employees who took The Breakroom Quiz

66th of 141 rated banks

Job description

Overview:

This position requiresexpertisein statistical and machine learning model development within a regulated environment. The role manages the full model development lifecycle-including requirements gathering, development, testing/validation, implementation, and ongoing monitoring-and partners closely with business and compliance stakeholders to deliver analytically sound, well-documented solutions. Development work is performed using both Python and SAS.

Primary Responsibilities:

  • Design, develop, test/validate, implement, andmonitorstatistical and machine learning models across the full model development lifecycle.

  • Partner with internal business stakeholders to define modeling requirements and translate them into scalable analytical solutions.

  • Analyze large, complex datasets (e.g., transaction data, customer/entity attributes, behavioral and demographic data) and present insights to senior management.

  • Produce clear, defensible model documentation and support governance, validation, and regulatory activities (MRM, audit, regulatory review).

  • Develop andmaintainproduction-quality analytics using Python and SAS.

  • Collaborate with internal and external partners tooptimizethe risk/reward equation and maximize profitability.

  • Serve as a liaison for Quantitative Risk Management initiatives across business areas, consultants, vendors, and peer banks.

  • Manage and develop Quantitative Analysts and Modelers, including performance and skills development.

  • Ensure adherence to risk management frameworks, regulatory standards, and internal controls.

  • Exercise managerial authority related to staffing, performance, and compensation decisions.

  • Promote an inclusive environment that reflects the M&T Bank brand.

Education and Experience Required:

Bachelors' degree,
OR in lieu of a degree,
A combined minimum of 14 years' higher education and/or work experience, including a minimum of 10 years' related experience (inclusive of 4 years supervisory/management experience)
-OR-
Master's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline and a minimum of 8 years' related experience (inclusive of 4 years supervisory/management experience),
OR in lieu of a degree,
A combined minimum of 14 years' higher education and/or work experience, including a minimum of 8 years' related experience and/or (inclusive of 4 years supervisory/management experience).
Minimum of 10 years' related experience (inclusive of 4 years supervisory/management 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:

  • Extensive experience with statistical and machinelearningmodel development and ongoing monitoring.

  • Demonstrated experience leading models from concept through production.

  • Strongproficiencyin both Python and SAS.

#LI-RS1

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $148,300.00 - $247,100.00 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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