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Quantitative Risk Manager Jobs in Baltimore, MD (NOW HIRING)

Morgan Stanley

Model Risk Control Specialist

Baltimore, MD · On-site

$70K - $125K/yr

... partnering with quantitative analysts and subject matter experts > Support model tuning and ... At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their ...

Deloitte

Financial Risk Senior Consultant

Baltimore, MD · On-site

$115K/yr

Support management of workstreams on complex engagements, partnering with client counterparts and ... Advanced degree and/or certification (e.g., Quant MS, MBA, FRM, CFA, CRCM, CPA, PMP). * Expertise ...

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Quantitative Risk Manager information

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$51.2K

$110.8K

$168.9K

How much do quantitative risk manager jobs pay per year?

As of Jul 13, 2026, the average yearly pay for quantitative risk manager in Baltimore, MD is $110,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $128,200.00 per year, depending on experience, location, and employer.

What can I do with a quantitative risk management degree?

A degree in quantitative risk management prepares individuals for roles such as risk analyst, risk manager, or quantitative analyst in finance, insurance, or consulting firms. These roles involve assessing and modeling financial risks using statistical tools, programming languages like Python or R, and risk management frameworks. Professionals in this field often work with regulatory compliance and may pursue certifications like FRM or PRM.

What is the salary of a quant risk manager?

A quantitative risk manager's salary typically ranges from $100,000 to $200,000 annually, with higher compensation often associated with experience, advanced degrees, and certifications such as FRM or CFA. In addition to base salary, bonuses and performance incentives can significantly increase total compensation in this role.

What does a quantitative risk manager do?

A quantitative risk manager analyzes financial data and models to identify, measure, and manage risks within an organization. They use statistical techniques, programming skills, and risk management tools to develop strategies that minimize potential losses and ensure regulatory compliance.

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.

How much do quant risk managers make?

Quantitative risk managers typically earn between $100,000 and $200,000 annually, with senior roles and those in major financial centers earning higher salaries. Compensation often includes bonuses and benefits, and strong skills in mathematics, programming, and risk modeling are essential for higher-paying positions.

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.

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 Baltimore, MD? For Quantitative Risk Manager jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Manager jobs in Baltimore, MD look for? The top searched job categories for Quantitative Risk Manager jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Quantitative Risk Manager jobs? Cities near Baltimore, MD with the most Quantitative Risk Manager job openings:
Quantitative Risk Manager jobs near you
Model Risk Senior Analyst - Validation (AI, Cyber, Technology)

Model Risk Senior Analyst - Validation (AI, Cyber, Technology)

M&T Bank

Baltimore, MD

$113K - $188K/yr

Full-time

Re-posted 6 days ago

M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 183 frontline employees who took The Breakroom Quiz

76th of 149 rated banks

Job description

Overview: The Senior Model Validation Analyst is responsible for executing robust, independent validations of quantitative and qualitative models across the enterprise. This role serves as a key control function within Model Risk Management (MRM), ensuring models are conceptually sound, empirically validated, and compliant with regulatory and internal standards.

Primary Responsibilities:
  • Lead end-to-end validation of several model families including Consumer CCAR and CECL credit risk models, AI/ML models, Cybersecurity and Technology models.
  • Conduct the validation and analysis of expert judgment or qualitative factors that augment quantitative models; review to confirm proper controls and adequate documentation are in place
  • Perform independent challenge of model methodologies, benchmarking, back-testing, sensitivity analysis, and stress testing
  • Maintain high-quality documentation of validation work, findings, and conclusions to withstand internal audit and regulatory scrutiny.
  • 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
  • Support remediation of validation, audit, and regulatory findings.
  • Partner with model developers, business stakeholders, and risk managers to communicate validation outcomes, challenge assumptions, and recommend improvements.
Scope of Responsibilities:

Independently manage multiple validation projects.
Partner with business lines including Credit Risk, Finance, Technology, and Wealth.
Balance regulatory expectations with business objectives.
Contribute to continuous improvement of validation practices and governance.

Supervisory/Managerial Responsibilities:

Individual contributor with opportunities to mentor junior analysts and provide technical guidance.

Education and Experience Required:

Master's or Doctoral Degree in Mathematics, Statistics, Business Engineering, Econometrics, or Science-based discipline,

Plus 4 years' experience in model development or validation, with a combined minimum of >5 years' higher education and relevant work experience.

Technical knowledge of advanced software packages used in analytics.

Education and Experience Preferred:

Master's or PhD in a quantitative discipline (Finance, Economics, Statistics, Mathematics, Engineering).
7-10+ years in model validation, development, or quantitative analytics.
Strong knowledge of model risk, SR 11-07, SR 26-2, and regulatory expectations.
Proficiency in Python, SAS, R, or similar tools.
Strong analytical, communication, and stakeholder management skills.

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $113,300.00 - $188,800.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.LocationBaltimore, Maryland, United States of America

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