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Quant 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 ...

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 ...

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 ...

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 ...

Quant Audit Manager

Raleigh, NC

$101K - $132K/yr

... Quantitative or Financial ... Analytics. 2. 6+ years of technical model experience, which could include working on a model ...

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

Quant Analytics information

See Raleigh, NC salary details

$51K

$115.8K

$191K

How much do quant analytics jobs pay per year?

As of Jun 10, 2026, the average yearly pay for quant analytics in Raleigh, NC is $115,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,300.00 and $148,200.00 per year, depending on experience, location, and employer.

What is the difference between Quant Analytics vs Data Analyst?

AspectQuant AnalyticsData Analyst
Required CredentialsDegree in finance, mathematics, or related fields; often requires programming skillsDegree in statistics, business, or related fields; may require basic programming knowledge
Work EnvironmentFinancial firms, hedge funds, investment banksCorporate, marketing, healthcare, and other industries
Job FocusDeveloping complex models for trading and risk managementInterpreting data to inform business decisions and reporting

Quant Analytics professionals focus on building advanced financial models and algorithms primarily in finance and trading environments. Data Analysts interpret and visualize data to support business strategies across various industries. While both roles involve data handling, Quant Analytics emphasizes quantitative modeling and programming, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Quant Analytics professional, and why are they important?

To thrive in Quant Analytics, you need strong quantitative skills, advanced knowledge of mathematics and statistics, and often a degree in fields like mathematics, physics, engineering, or finance. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and financial modeling software, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and conveying insights to stakeholders. These skills and qualities are vital for developing robust quantitative models that support informed decision-making in fast-paced financial environments.

What are Quant Analytics?

Quant Analytics, short for quantitative analytics, refers to the use of mathematical models, statistical methods, and computational techniques to analyze financial data and inform investment decisions. Professionals in this field, known as quantitative analysts or 'quants,' develop and implement algorithms for risk management, pricing, trading strategies, and portfolio management. Quant Analytics is widely used in banks, hedge funds, and investment firms to gain insights from large data sets and optimize financial performance. The role typically requires strong skills in mathematics, programming, and finance.

How do Quant Analytics professionals typically collaborate with other teams within a financial institution?

Quant Analytics professionals often work closely with traders, risk managers, and software engineers to develop, implement, and refine quantitative models. They translate complex data into actionable insights, which may influence trading strategies or risk assessment. Effective communication and teamwork are essential, as quants must present their findings in a way that is understandable and useful to non-technical stakeholders. Collaboration is usually facilitated through regular meetings, code reviews, and joint problem-solving sessions.
What are popular job titles related to Quant Analytics jobs in Raleigh, NC? For Quant Analytics jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Quant Analytics jobs? Cities near Raleigh, NC with the most Quant Analytics job openings:
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 15 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.