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Quantitative Analyst Jobs in Raleigh, NC (NOW HIRING)

Quantitative Associate

Durham, NC · 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 ...

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 will include reviewing full or targeted scope validation assessments the TAS quantitative analytics team to ensure conclusions are consistent with the goals of the planned assessment and ...

The Category Specialist supports the team by delivering financial reporting, insightful quantitative analysis, and effective project execution. This role enables data‑driven category decisions by ...

The Category Specialist supports the team by delivering financial reporting, insightful quantitative analysis, and effective project execution. This role enables datadriven category decisions by ...

The Category Specialist supports the team by delivering financial reporting, insightful quantitative analysis, and effective project execution. This role enables data‑driven category decisions by ...

The Category Specialist supports the team by delivering financial reporting, insightful quantitative analysis, and effective project execution. This role enables datadriven category decisions by ...

The Category Specialist supports the team by delivering financial reporting, insightful quantitative analysis, and effective project execution. This role enables data‑driven category decisions by ...

The Category Specialist supports the team by delivering financial reporting, insightful quantitative analysis, and effective project execution. This role enables data‑driven category decisions by ...

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Showing results 1-20

Quantitative Analyst information

See Raleigh, NC salary details

$54.9K

$130.1K

$233.3K

How much do quantitative analyst jobs pay per year?

As of Jul 7, 2026, the average yearly pay for quantitative 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 are the key skills and qualifications needed to thrive as a Quantitative Analyst, and why are they important?

To thrive as a Quantitative Analyst, you need a strong background in mathematics, statistics, computer science, and finance, often supported by an advanced degree such as a master's or PhD. Expertise in programming languages like Python, R, or MATLAB, as well as familiarity with financial modeling tools and statistical software, is typically required. Analytical thinking, problem-solving abilities, and clear communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for developing accurate financial models, managing risk, and enabling data-driven decision-making in competitive financial environments.

What Does a Quantitative Analyst Do?

The responsibilities of quantitative analysts, or quants, include using mathematical models and statistics to analyze data to assess risks and develop solutions for business issues. In this role, you can work in a variety of industries, from production to finance to insurance. You typically gather and interpret data to help an organization implement a solution for maintaining its fiscal health. Duties vary with the industry. Some positions focus on collecting information from the general public or consumers of particular products through the use of polls and surveys to improve their design and marketing. Other quants work alongside researchers in the health care field to test treatments and medical equipment design.

Is a quant analyst high paying?

Quantitative analysts typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes base salary, bonuses, and profit-sharing, especially in financial firms and hedge funds. Experience, education, and technical proficiency influence earning potential significantly.

How does a Quantitative Analyst typically collaborate with other departments within a financial organization?

Quantitative Analysts frequently work closely with traders, portfolio managers, risk managers, and IT professionals to develop, test, and implement financial models. Effective communication is essential, as they must translate complex quantitative findings into actionable insights for decision-makers. It's common to participate in cross-functional meetings, provide model validation support, and help interpret results for non-technical stakeholders. This collaborative environment fosters both technical skill development and a deeper understanding of the business, which can open doors to broader career opportunities.

What are Quantitative Analysts?

Quantitative Analysts, often called 'quants,' are professionals who use mathematical models, statistics, and computer programming to analyze financial data and support decision-making in finance. They develop and implement complex models to assess risk, value financial securities, and identify profitable investment opportunities. Quants are commonly employed by investment banks, hedge funds, asset management companies, and other financial institutions. Their work helps optimize trading strategies, manage risk, and improve financial performance.

Do JP Morgan hire quants?

JP Morgan hires quantitative analysts, often called quants, to develop models for trading, risk management, and investment strategies. Candidates typically need strong backgrounds in mathematics, programming, and finance, with skills in tools like Python, R, or MATLAB. The firm offers roles across various divisions, including investment banking and asset management.

What do you do as a quantitative analyst?

A quantitative analyst, or quant, develops mathematical models to analyze financial data and inform investment decisions. They use programming languages like Python or R, and tools such as Excel and statistical software, to identify trends, assess risks, and optimize portfolios in finance or trading environments.

What is the difference between Quantitative Analyst vs Data Scientist?

AspectQuantitative AnalystData Scientist
Required CredentialsDegree in finance, mathematics, or statistics; often certifications like CFADegree in computer science, statistics, or related fields; certifications like CAP or data science certifications
Work EnvironmentFinancial firms, investment banks, hedge fundsTech companies, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in finance and investment sectorsAcross multiple industries including tech, healthcare, and retail
Common Search & Comparison IntentUnderstanding roles in finance and investment analysisExploring data analysis and machine learning roles

While both roles involve data analysis and statistical skills, Quantitative Analysts focus on financial modeling and investment strategies within finance firms. Data Scientists have a broader scope, applying data analysis across various industries, often with programming and machine learning expertise.

Will AI replace quant analysts?

AI is transforming quantitative analysis by automating data processing and modeling tasks, but it is unlikely to fully replace quant analysts. Instead, AI tools are expected to augment their work, requiring analysts to develop skills in programming, machine learning, and data interpretation to stay relevant in the evolving field.
What are the most commonly searched types of Quantitative Analyst jobs in Raleigh, NC? The most popular types of Quantitative Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Quantitative Analyst jobs? Cities near Raleigh, NC with the most Quantitative Analyst job openings:
Infographic showing various Quantitative Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 92% In-person, and 8% 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)

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

Marsh & McLennan Companies, Inc.

Raleigh, NC • On-site

Full-time

Posted 12 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.