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Senior Quantitative Risk Analyst Jobs in Maryland

Crisis24

Senior Business Risk Analyst

Annapolis, MD · On-site

... a Senior Business Risk Analyst to assess corporate and financial risk. In this role, you will ... quantitative risk assessment, to evaluate likelihood, impact, and business and financial ...

T. Rowe Price

Senior Equity Risk Manager

Baltimore, MD · On-site

$133 - $227/hr

Role Summary The Senior Equity Risk Manager position is an important role within Investment Risk at ... Perform quantitative analyses in response to requests from investment management, portfolio ...

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Senior Quantitative Risk Analyst information

See Maryland salary details

$51.9K

$106.6K

$138.3K

How much do senior quantitative risk analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior quantitative risk analyst in Maryland is $106,610.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $133,000.00 per year, depending on experience, location, and employer.

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

AspectSenior Quantitative Risk AnalystQuantitative Risk Analyst
Required CredentialsBachelor's or Master's in Finance, Mathematics, or related field; often with certifications like FRM or CFABachelor's or Master's in relevant fields; certifications like FRM or CFA are common but less mandatory
Work EnvironmentTypically in financial institutions, risk management teams, or investment firmsSimilar environments, often in banks, asset managers, or insurance companies
Job ResponsibilitiesLeading risk modeling, analyzing complex data, mentoring junior staffSupporting risk assessments, data analysis, and model development

The main difference lies in experience and responsibility. Senior Quantitative Risk Analysts often lead projects, mentor teams, and handle complex modeling, while Quantitative Risk Analysts focus on supporting risk analysis and data work. Both roles require similar credentials and work in comparable environments, but the senior role involves more leadership and strategic input.

What are some typical challenges faced by senior quantitative risk analysts when developing risk models, and how are they addressed within teams?

Senior Quantitative Risk Analysts often encounter challenges such as managing large, complex datasets, ensuring model accuracy, and staying compliant with evolving regulatory standards. To address these, teams typically collaborate closely, leveraging peer reviews, regular validation processes, and ongoing communication with IT and compliance departments. Additionally, senior analysts mentor junior team members and encourage a culture of continuous learning to keep up with the latest quantitative methods and regulatory requirements.

What are the key skills and qualifications needed to thrive as a senior quantitative risk analyst?

To thrive as a Senior Quantitative Risk Analyst, you need advanced quantitative analysis skills, a strong background in statistics, mathematics, or finance, and typically a relevant graduate degree. Proficiency in programming languages such as Python, R, or SAS, as well as experience with risk modeling software and financial databases, is crucial. Outstanding problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are essential for accurately assessing financial risks, developing robust models, and clearly conveying complex findings to stakeholders.

What is a senior quantitative risk analyst?

Senior Quantitative Risk Analysts are experienced professionals who use mathematical models and statistical techniques to identify, measure, and manage financial risks within an organization. They typically work in banks, investment firms, or other financial institutions, and play a key role in developing risk assessment tools, interpreting data, and advising on strategies to mitigate potential losses. In addition to their technical expertise, they often lead teams, guide junior analysts, and collaborate with other departments to ensure comprehensive risk management. Their work helps organizations make informed decisions and comply with regulatory requirements.
What are popular job titles related to Senior Quantitative Risk Analyst jobs in Maryland? For Senior Quantitative Risk Analyst jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Senior Quantitative Risk Analyst jobs in Maryland look for? The top searched job categories for Senior Quantitative Risk Analyst jobs in Maryland are:
What cities in Maryland are hiring for Senior Quantitative Risk Analyst jobs? Cities in Maryland with the most Senior Quantitative Risk Analyst job openings:
Senior Quantitative Risk Analyst jobs near you
Infographic showing various Senior Quantitative Risk Analyst job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $106,610 per year, or $51.3 per hour.

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

M&T Bank

Timonium, MD • 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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