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Quantitative Risk Manager Jobs in Delaware (NOW HIRING)

Td

Credit Risk Strategy Manager I (US)

Wilmington, DE · On-site

$120K - $145K/yr

Creates reports on the results of implemented strategies, using all appropriate quantitative methods and MIS, and makes recommendations to increase efficiencies and revenue while managing credit risk ...

Sallie_mae

Manager, Model Risk

Newark, DE · On-site

May manage a Model Risk team and provide guidance, support, and mentorship to team members ... Strong knowledge of quantitative analysis, statistical techniques, and risk assessment ...

Sallie Mae

Manager, Model Risk

Newark, DE · On-site

May manage a Model Risk team and provide guidance, support, and mentorship to team members ... Strong knowledge of quantitative analysis, statistical techniques, and risk assessment ...

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All JobsQuantitative Risk JobsQuantitative Risk Manager JobsQuantitative Risk Manager Jobs in Delaware

Quantitative Risk Manager information

See Delaware salary details

$51.5K

$111.7K

$170.1K

How much do quantitative risk manager jobs pay per year?

As of Aug 26, 2026, the average yearly pay for quantitative risk manager in Delaware is $111,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,100.00 and $129,100.00 per year, depending on experience, location, and employer.

What is a quantitative risk manager?

A Quantitative Risk Manager is a professional who uses mathematical models, statistical analysis, and quantitative techniques to identify, measure, and manage financial risks within an organization. They often work in banks, investment firms, or insurance companies to analyze market, credit, and operational risks. Their responsibilities include developing risk models, monitoring risk exposures, and advising senior management on risk mitigation strategies. They play a key role in ensuring that organizations make informed decisions and comply with regulatory requirements.

How does a quantitative risk manager typically collaborate with other departments within a financial institution?

Quantitative Risk Managers work closely with teams such as trading, compliance, IT, and senior management to identify, measure, and mitigate financial risks. They often translate complex quantitative models into actionable insights for non-technical stakeholders and facilitate the integration of risk metrics into daily decision-making processes. Collaboration is essential for ensuring that risk assessments align with business objectives and regulatory requirements, often requiring regular cross-functional meetings and clear communication.

What are the key skills and qualifications needed to thrive as a quantitative risk manager, and why are they important?

To thrive as a Quantitative Risk Manager, you need strong analytical abilities, a deep understanding of statistics and financial mathematics, and typically an advanced degree in finance, mathematics, or a related field. Proficiency in programming languages like Python or R, experience with risk modeling software, and certifications such as FRM or CFA are highly valuable. Exceptional problem-solving, communication, and collaboration skills help you convey complex risk metrics to stakeholders and work effectively in cross-functional teams. These skills ensure accurate risk assessments, regulatory compliance, and informed decision-making in dynamic financial environments.

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

AspectQuantitative Risk ManagerQuantitative Analyst
Primary FocusAssessing and managing risk exposure across financial portfoliosDeveloping models and algorithms for investment strategies
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like FRM or CFADegrees in finance, mathematics, or statistics; often pursuing CFA or similar
Work EnvironmentFinancial institutions, risk management departmentsInvestment firms, hedge funds, banks
Key SkillsRisk assessment, regulatory knowledge, quantitative modelingData analysis, programming, financial modeling

While both roles involve quantitative skills and financial knowledge, Quantitative Risk Managers focus on identifying and mitigating risks within organizations, whereas Quantitative Analysts primarily develop models to inform investment decisions. Understanding these differences helps professionals choose the right career path or job search focus.

What are popular job titles related to Quantitative Risk Manager jobs in Delaware?

For Quantitative Risk Manager jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Quantitative Risk Manager jobs in Delaware look for?

The top searched job categories for Quantitative Risk Manager jobs in Delaware are:

Quantitative Risk Manager jobs near you
Infographic showing various Quantitative Risk Manager job openings in Delaware as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $111,652 per year, or $53.7 per hour.

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

Wilmington, DE • Hybrid

M&T Bank
Finance and Insurance • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 187 frontline employees who took The Breakroom Quiz

79th of 172 rated banks

Good employer

Recommended by parents

Respectful managers

Learn more about M&T Bankexternal

$148K - $247K/yr

Full-time

Posted 20 days ago

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 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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