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Quantitative Analyst I Jobs in Raleigh, NC (NOW HIRING)

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 ...

Sr. Data Analyst

Raleigh, NC ยท On-site +1

$83K - $105K/yr

Completed Bachelor's and/or Master's degree, ideally in a technical or quantitative field * 4+ ... I don't know", and we actively seek feedback. * Desire to learn - You'll often be answering ...

Sr. Data Analyst

Raleigh, NC ยท On-site +1

$83K - $105K/yr

Completed Bachelor's and/or Master's degree, ideally in a technical or quantitative field * 4+ ... I don't know", and we actively seek feedback. * Desire to learn - You'll often be answering ...

Sr. Data Analyst

Raleigh, NC ยท On-site

$83K - $105K/yr

Completed Bachelor's and/or Master's degree, ideally in a technical or quantitative field * 4+ ... I don't know", and we actively seek feedback. * Desire to learn - You'll often be answering ...

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Showing results 1-20

Quantitative Analyst I information

See Raleigh, NC salary details

$54.9K

$130.1K

$233.3K

How much do quantitative analyst i jobs pay per year?

As of Jul 31, 2026, the average yearly pay for quantitative analyst i 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 does a Quantitative Analyst I do?

A Quantitative Analyst I, often called a 'quant,' applies mathematical and statistical methods to analyze financial data and develop models for investment strategies, risk management, and pricing securities. They typically work with large datasets, use programming languages like Python or R, and collaborate with traders and portfolio managers. Entry-level quants focus on data cleaning, running simulations, and building foundational analytical tools under the guidance of senior analysts, gaining valuable experience in the finance industry.

What are some common challenges faced by entry-level Quantitative Analysts when transitioning from academia to a finance-focused work environment?

One of the main challenges for new Quantitative Analysts is adapting theoretical knowledge to practical, real-time financial problems. Unlike academic settings, the finance industry demands quick, actionable insights and often requires balancing precision with speed. Additionally, Quantitative Analysts frequently collaborate with traders, risk managers, and software developers, so strong communication skills are crucial for explaining complex models to non-technical team members. Gaining fluency with industry-standard tools and understanding market dynamics are also key hurdles in the early stages of the role.

What is the difference between Quantitative Analyst I vs Quantitative Analyst II?

AspectQuantitative Analyst IQuantitative Analyst II
Required CredentialsBachelor's degree in finance, mathematics, or related field; some roles may require an internship or entry-level certificationBachelor's or master's degree; more advanced certifications like CFA or FRM may be preferred
Work EnvironmentEntry-level position in finance firms, banks, or asset management companies; supervised tasksMore independent responsibilities; involvement in complex modeling and analysis
Employer & Industry UsageCommon in investment banks, hedge funds, asset managersSimilar industries, often with increased expectations and scope

In summary, Quantitative Analyst I is an entry-level role focusing on basic analysis and modeling, while Quantitative Analyst II involves more complex tasks and greater independence. Both roles are common in finance and investment sectors, with the II position requiring more experience and advanced certifications.

What are the key skills and qualifications needed to thrive as a Quantitative Analyst I, and why are they important?

To thrive as a Quantitative Analyst I, you need strong analytical skills, proficiency in statistics, and a bachelor's degree in mathematics, finance, economics, or a related field. Familiarity with programming languages such as Python, R, or MATLAB and experience with data analysis tools and financial modeling software are typically required. Attention to detail, problem-solving abilities, and clear communication help you interpret data accurately and present complex findings to stakeholders. These skills are crucial for delivering actionable insights and supporting data-driven decision-making in financial and business environments.
What are popular job titles related to Quantitative Analyst I jobs in Raleigh, NC? For Quantitative Analyst I jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Quantitative Analyst I jobs in Raleigh, NC look for? The top searched job categories for Quantitative Analyst I jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Quantitative Analyst I jobs? Cities near Raleigh, NC with the most Quantitative Analyst I job openings:
Infographic showing various Quantitative Analyst I job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% 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 6 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.