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Quantitative Risk Analyst Jobs in Philadelphia, PA

Conducts risk monitoring activities, that can include complex or elevated risk firms with ... Intermediate-to-Advanced quantitative, analytical, problem solving skills, including the ability to ...

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Quantitative Risk Analyst information

See Philadelphia, PA salary details

$57K

$135.1K

$242.2K

How much do quantitative risk analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for quantitative risk analyst in Philadelphia, PA is $135,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $146,800.00 per year, depending on experience, location, and employer.

What is a quantitative risk analyst?

A Quantitative Risk Analyst is a professional who uses mathematical models, statistical techniques, and data analysis to assess and manage financial risks within an organization. They typically evaluate potential losses from market movements, credit defaults, or operational failures and help develop strategies to mitigate those risks. Their work is crucial in industries such as banking, investment, insurance, and asset management, where understanding and controlling risk is essential for financial stability and compliance. Quantitative Risk Analysts often work with complex financial instruments and large datasets, requiring strong analytical and programming skills.

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

To thrive as a Quantitative Risk Analyst, you need strong analytical and mathematical skills, experience with statistical modeling, and typically a degree in finance, mathematics, statistics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with risk management systems and financial databases are important technical requirements. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for explaining complex analyses to stakeholders. These skills are crucial for accurately identifying, measuring, and mitigating financial risks in dynamic market environments.

What are some common challenges a quantitative risk analyst faces when integrating new data sources into risk models?

Quantitative Risk Analysts often encounter challenges related to data quality, consistency, and compatibility when integrating new data sources into risk models. Ensuring that the data is accurate, timely, and relevant requires rigorous validation and sometimes complex data cleaning processes. Additionally, analysts must adapt existing risk models to accommodate new variables, which may involve re-calibrating parameters or even restructuring parts of the model. Effective collaboration with IT and data engineering teams is essential to streamline data integration and maintain model reliability.

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

AspectQuantitative Risk AnalystCredit Risk Analyst
Required CredentialsDegree in finance, economics, or mathematics; certifications like FRM or CFADegree in finance, economics, or related; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, investment firms, risk management departmentsBanks, lending institutions, credit agencies
Employer & Industry UsageUsed across finance sectors for risk modeling and analysisPrimarily in banking and lending for assessing creditworthiness
Comparison Search IntentUnderstanding differences in risk analysis rolesDistinguishing credit-specific risk roles from broader risk analysis

While both roles involve risk assessment and require similar credentials, a Quantitative Risk Analyst focuses on modeling and analyzing various financial risks using quantitative methods across multiple risk types. In contrast, a Credit Risk Analyst specializes in evaluating creditworthiness and managing credit risk specifically within lending and banking sectors.

What are the most commonly searched types of Quantitative Risk Analyst jobs in Philadelphia, PA?

The most popular types of Quantitative Risk Analyst jobs in Philadelphia, PA are:

What are popular job titles related to Quantitative Risk Analyst jobs in Philadelphia, PA?

For Quantitative Risk Analyst jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Quantitative Risk Analyst jobs in Philadelphia, PA look for?

The top searched job categories for Quantitative Risk Analyst jobs in Philadelphia, PA are:

Infographic showing various Quantitative Risk Analyst job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $135,094 per year, or $64.9 per hour.

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

M&T Bank

Wilmington, DE

$113K - $188K/yr

Full-time

Re-posted 27 days ago


M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 187 frontline employees who took The Breakroom Quiz

77th of 174 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.LocationWilmington, Delaware, United States of America

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