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Quantitative Model Validation Analyst Jobs in Raleigh, NC

Quantitative Associate

Durham, NC ยท On-site

$125K - $140K/yr

Analyze and model portfolio exposures, performance, and risk across a diverse range of asset classes. * Develop quantitative models to assess investment manager factor exposures and identify drivers ...

Quantitative Associate

Durham, NC ยท On-site

$125K - $140K/yr

Analyze and model portfolio exposures, performance, and risk across a diverse range of asset classes. * Develop quantitative models to assess investment manager factor exposures and identify drivers ...

This position will support the development, monitoring, and testing of quantitative models to ... This position supports executive decision making with regard to scenario analysis, risk appetite ...

Business Analyst

Raleigh, NC ยท On-site

$50/hr

Analytics & Data Modeling: 6+ years of hands-on professional experience with SQL, Tableau, and Python to perform data-rich exploratory analysis, build complex quantitative models, and deliver ...

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Quantitative Model Validation Analyst information

See Raleigh, NC salary details

$54.9K

$130.1K

$233.3K

How much do quantitative model validation analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for quantitative model validation analyst in Raleigh, NC is $130,132.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $141,400.00 per year, depending on experience, location, and employer.

What is a quantitative model validation analyst?

Quantitative Model Validation Analysts are professionals who assess and validate financial models used by banks and financial institutions. They ensure that these models are accurate, reliable, and comply with regulatory standards. Their work involves testing model assumptions, reviewing model methodologies, and analyzing model outputs to identify potential risks or weaknesses. By providing an independent review, they help organizations maintain the integrity and performance of their risk management and financial forecasting tools.

What are some typical challenges faced by quantitative model validation analysts when assessing complex financial models?

Quantitative Model Validation Analysts often encounter challenges such as interpreting intricate model methodologies, ensuring data integrity, and effectively communicating technical findings to stakeholders who may not have a quantitative background. Additionally, staying current with evolving regulatory requirements and industry standards can be demanding. Collaborating closely with model developers, risk managers, and auditors is crucial to address model limitations and propose actionable improvements, making strong communication and analytical skills essential for success in this role.

What are the key skills and qualifications needed to thrive as a quantitative model validation analyst, and why are they important?

To thrive as a Quantitative Model Validation Analyst, you need a strong background in quantitative finance, statistics, and programming, typically supported by a degree in mathematics, finance, or a related field. Familiarity with statistical software such as Python, R, MATLAB, and model risk management frameworks is essential, and certifications like FRM or CFA are advantageous. Analytical thinking, attention to detail, and effective communication skills set top performers apart by enabling them to explain complex model risks and recommendations clearly. These skills and qualities are vital for ensuring the accuracy, reliability, and regulatory compliance of financial models within an organization.

What is the difference between Quantitative Model Validation Analyst vs Quantitative Risk Analyst?

AspectQuantitative Model Validation AnalystQuantitative Risk Analyst
CredentialsTypically requires a degree in finance, mathematics, or statistics; certifications like CFA or FRM are commonSimilar credentials; often holds CFA, FRM, or related certifications
Work EnvironmentFocuses on validating models used in risk management, trading, or credit scoring within financial institutionsAnalyzes and manages financial risk, including market, credit, and operational risks in banking or investment firms
Industry UsageCommonly employed in banking, asset management, and insurance sectorsWidely used in banking, hedge funds, and financial services

The main difference is that Quantitative Model Validation Analysts focus on testing and validating models to ensure accuracy and compliance, while Quantitative Risk Analysts assess and manage overall financial risks. Both roles require strong quantitative skills and often overlap in credentials and work environments, but their core responsibilities differ in scope and focus.

What are popular job titles related to Quantitative Model Validation Analyst jobs in Raleigh, NC?

For Quantitative Model Validation Analyst jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Quantitative Model Validation Analyst jobs in Raleigh, NC look for?

The top searched job categories for Quantitative Model Validation Analyst jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Quantitative Model Validation Analyst jobs?

Cities near Raleigh, NC with the most Quantitative Model Validation Analyst job openings:

Infographic showing various Quantitative Model Validation Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 81% In-person, 12% Hybrid, and 7% Remote job distribution, with an average salary of $130,132 per year, or $62.6 per hour.

Oliver Wyman - Analyst - Financial Services Quantitative Analytics (FSQA)

Marsh & McLennan Companies, Inc.

Raleigh, NC โ€ข On-site

Full-time

Re-posted 14 days ago


Job description

Company:
Oliver Wyman
Description:
Job title: Analyst - Financial Services Quantitative Analytics (FSQA)
Office/region: Raleigh, NC
Eligibility: Class of 2026; Permanent US work authorization or students eligible under STEM OPT extension (up to 3 years)
About Oliver Wyman
Oliver Wyman is a global leader in management consulting. With offices in 60 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 7,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a wholly owned subsidiary of Marsh & McLennan Companies [NYSE: MMC]. For more information, visit www.oliverwyman.com
Team overview:
Oliver Wyman's Financial Services Quantitative Analysis (FSQA) team is a dynamic, fast-growing team of quantitative analytics specialists. We bring sophisticated analytics capabilities including machine learning and generative AI to bear on business-critical problems for our clients predominantly in the financial services industry.
Clients hire us for our depth of insight and expertise; expertise that comes from a combination of specialized domain knowledge and deep data science and engineering capabilities. The current focus area for our Raleigh team is on solving quantitative problems for the Financial Services industry, but there are also opportunities to serve clients in other industries on topics like Supply Chain Management analytics.
We combine analytical rigor with a relentless focus on client impact. We are passionate about developing our people and support your career progression, including a path to Partner. We are looking for candidates who are excited to work in an entrepreneurial environment, focused on delivering impact through analytics.
The role:
Working with us offers excellent career and growth opportunities for highly motivated college graduates from quantitative disciplines with some exposure to data analytics and model development.
This is a client-facing, project-based analytics role, and some travel to client sites is to be expected as part of building client relationships and setting projects on a solid foundation, but most of our work can be conducted from Raleigh. We will make flexible working hours and market leading work life balance a priority considering your individual needs.
The ideal candidates will possess strong technical skills, capability to work in teams, deliver pieces of work efficiently and under high quality standards and have an open and flexible mindset.
Responsibilities will include:
  • You will work as part of our small, fast-growing team, in coordination with other Oliver Wyman teams and clients across the globe
  • You will work with large and complex data sets producing customized analyses and advanced models using statistical techniques for the client's needs
  • You will be given ownership of the model development from start to finish with guidance from experienced managers
  • You will work on summarizing, presenting and documenting the performed analyses and features of the developed solutions in client-ready formats

Required skills and experience:
  • Working towards a Bachelor's or Master's degree in a quantitative discipline, e.g. Mathematics, Statistics, Physics, Economics, Data Science, Computer Science or Engineering
  • Strong analytics and communication skills
  • Strong coding skills in one or several common languages, i.e. Python, SQL, R
  • Experience in advanced analytics and data manipulation
  • Familiarity with generative AI models
  • Experience working effectively and collaboratively in a team, while being sufficiently self-directed to meet deadlines and produce high-quality output when working independently
  • Be able to find innovative, practical and flexible solutions to business issues
  • Excellent command of English language (verbal and written)

The ideal candidate will also have some previous specific experience (through internships or course work) in one or more of our current domain focus areas:
  • Financial services: e.g. credit risk measurement, market risk measurement, liquidity management, stress testing, financial modelling, model validation, derivatives pricing
  • Supply Chain analytics: e.g. demand forecasting, network optimization, operations planning

This role is located in Raleigh, NC. Our other office locations are not options for this role.
*Please note: Earliest start dates for this role will range from mid-summer to late fall of 2026. Start dates are assigned based on business need.
Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman.
With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.
Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.
Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.
Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.