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Quantitative Analytics Jobs in Raleigh, NC (NOW HIRING)

Quantitative Developer

Durham, NC · On-site

$82K - $96K/yr

They spend effort ensuring data and analytics flowing into reports are of the highest quality. The Quantitative Developer may also be called upon leverage their quantitative finance knowledge to ...

Quantitative Developer

Durham, NC · On-site

$82K - $96K/yr

They spend effort ensuring data and analytics flowing into reports are of the highest quality. The Quantitative Developer may also be called upon leverage their quantitative finance knowledge to ...

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 ...

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 ...

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 ...

You will be using quantitative methods to assess the impact of offline and digital marketing. You will be interacting with the client. You will be providing analyses, recommendations, presentations ...

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Showing results 1-20

Quantitative Analytics information

See Raleigh, NC salary details

$54.9K

$130.1K

$233.3K

How much do quantitative analytics jobs pay per year?

As of Jun 13, 2026, the average yearly pay for quantitative analytics 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 jobs use quantitative analysis?

Quantitative analysts, often called quants, work in finance, investment banking, risk management, and data science to develop mathematical models for decision-making. These roles require strong skills in mathematics, programming, and statistical analysis, often using tools like Python, R, or MATLAB.

Is a quant analyst high paying?

Quantitative analysts typically earn high salaries due to their specialized skills in mathematics, programming, and financial modeling. Compensation often includes base salary, bonuses, and incentives, especially in finance and investment firms, making it a lucrative career for those with advanced quantitative expertise.

What is a quantitative analytics job?

A quantitative analytics job involves using mathematical models, statistical techniques, and data analysis to evaluate financial, business, or operational data. Professionals in this role often work with tools like Excel, SQL, or programming languages such as Python or R to develop insights and support decision-making. Strong analytical skills and knowledge of finance or economics are typically required.

What is quantitative analytics?

Quantitative analytics is the practice of using mathematical models, statistical techniques, and computational tools to analyze data and make informed decisions, typically in finance, business, or risk management. Quantitative analysts, often called 'quants,' use these methods to develop trading strategies, assess risk, value financial instruments, and optimize investment portfolios. Their work combines expertise in mathematics, programming, and finance to solve complex problems and provide actionable insights for organizations.

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 strong mathematical, statistical, and programming skills, typically supported by a degree in finance, mathematics, statistics, or a related field. Familiarity with technical tools such as Python, R, MATLAB, SQL, and financial modeling software is commonly required. Analytical thinking, attention to detail, and effective communication help distinguish top performers in this role. These skills and qualities are crucial for developing accurate financial models and providing actionable insights that drive data-informed decision-making.

What are some common challenges faced by professionals in Quantitative Analytics, and how can they be addressed?

Professionals in Quantitative Analytics often face challenges such as managing large and complex data sets, staying updated with rapidly evolving analytical tools, and effectively communicating technical results to non-technical stakeholders. Addressing these challenges involves continual learning, collaborating closely with IT and data engineering teams, and developing strong presentation skills to translate quantitative findings into actionable business insights. Embracing cross-functional teamwork and ongoing professional development can help quantitative analysts thrive in their roles.

What jobs pay 500,000 a year in the US?

In quantitative analytics, senior roles such as Quantitative Research Directors, Chief Investment Officers, or Portfolio Managers at hedge funds and investment firms can earn $500,000 or more annually, often including bonuses and profit sharing. These positions typically require advanced degrees, extensive experience, and strong skills in programming, statistical analysis, and financial modeling.

What is the difference between Quantitative Analytics vs Data Analyst?

AspectQuantitative AnalyticsData Analyst
Required CredentialsDegree in Mathematics, Statistics, or related fields; often advanced certificationsBachelor's degree in Data Science, Statistics, or related fields; certifications like SQL or Excel skills
Work EnvironmentFinancial firms, investment banks, hedge funds, or tech companies focusing on complex data modelingBusiness, marketing, healthcare, or retail sectors analyzing data trends and reporting
Employer & Industry UsageUsed in finance, trading, risk management, and quantitative researchUsed across various industries for reporting, visualization, and basic data analysis

Quantitative Analysts focus on developing complex mathematical models to inform investment decisions and risk management, often requiring advanced degrees and specialized skills. Data Analysts typically handle data collection, cleaning, and basic analysis to generate reports and insights for business decisions. While both roles work with data, Quantitative Analytics involves more advanced statistical modeling and programming, primarily in finance and tech sectors, whereas Data Analysts focus on descriptive analytics across diverse industries.

What are the most commonly searched types of Quantitative Analytics jobs in Raleigh, NC? The most popular types of Quantitative Analytics jobs in Raleigh, NC are:
What are popular job titles related to Quantitative Analytics jobs in Raleigh, NC? For Quantitative Analytics jobs in Raleigh, NC, the most frequently searched job titles are:
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 18 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.