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Quant Analytics Jobs in Raleigh, NC (NOW HIRING)

NC SECU

Model Risk Analyst

Raleigh, NC · Hybrid

Bachelors in a quantitative discipline (Economics, statistics, finance, data science or analytics, math, physics, or related field) * 3+ years of experience in modeling or analytics * Ability to ...

gpec

Marketing Reporting Specialist

Raleigh, NC · On-site

Forecast future sales and market trends using quantitative analysis * Evaluate effectiveness of current market strategies and identify improvement opportunities * Perform statistical analysis to ...

gpec

Marketing Reporting Specialist

Raleigh, NC

Forecast future sales and market trends using quantitative analysis * Evaluate effectiveness of current market strategies and identify improvement opportunities * Perform statistical analysis to ...

gpec

Marketing Reporting Specialist

Raleigh, NC

Forecast future sales and market trends using quantitative analysis * Evaluate effectiveness of current market strategies and identify improvement opportunities * Perform statistical analysis to ...

Duke University

Data Analytics Fellow

Durham, NC · On-site

S. in Mathematics, Computer Science, or another quantitative field. • Proficiency with data analysis in Python or R, and SQL. • Experience with creating dashboards or other data visualizations ...

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All JobsQuant Analytics JobsQuant Analytics Jobs in Raleigh, NC

Quant Analytics information

See Raleigh, NC salary details

$51K

$115.8K

$191K

How much do quant analytics jobs pay per year?

As of Jul 7, 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.

Is a quant analyst high paying?

Quant analysts typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes bonuses and incentives, especially in financial firms or hedge funds, making it a lucrative career path for those with advanced quantitative expertise.

What is quant analytics salary?

The salary for a quant analyst typically ranges from $80,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those at top financial firms can earn over $200,000, often supplemented with bonuses and performance incentives. Skills in programming, statistical analysis, and financial modeling are highly valued in this field.

What does a quant analyst do?

A quant analyst uses mathematical models and statistical techniques to analyze financial data and develop trading strategies. They often work with programming languages like Python or R and tools such as Excel or MATLAB to identify market opportunities and manage risk. Their work supports investment decisions and requires strong analytical skills and knowledge of finance and mathematics.

What is a quantitative analytics job?

A quantitative analytics job involves using mathematical models, statistical techniques, and programming skills to analyze financial data, identify trends, and support decision-making. Professionals in this field often work with tools like Python, R, or SQL and require strong analytical and problem-solving abilities. The role is common in finance, investment firms, and risk management environments.

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 job categories do people searching Quant Analytics jobs in Raleigh, NC look for? The top searched job categories for Quant Analytics jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Quant Analytics jobs? Cities near Raleigh, NC with the most Quant Analytics job openings:
Quant Analytics jobs near you
Senior Consultant - Commercial Operations & Analytics

Senior Consultant - Commercial Operations & Analytics

Beghou Consulting

Durham, NC

Full-time

Posted 10 days ago

Job description

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.

Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.

This role supports the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries. As a subject matter expert, you will drive innovation and creative solutions within various work streams and provide thought leadership. You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success.
We'll trust you to:
  • Lead cross-functional project teams in the design and development of high-quality deliverables for clients.
  • Provide strategic advice on project direction, resource management, and timelines, while assuming responsibility for key data analytics tasks to support internal teams and clients.
  • Collaborate with leadership to define project scope, approach, and development strategies.
  • Analyze data, synthesize findings, and develop actionable insights, communicating results to both internal and external teams.
  • Independently manage projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight.
  • Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting.
  • Coordinate with global and diverse teams to ensure seamless project execution.
  • Engage in business development activities and contribute to internal firm initiatives to drive organizational growth.
  • Provide mentorship and guidance to junior team members, overseeing their professional development and encouraging continuous improvement and innovation within the team.
You will need to have:
  • Bachelor’s or advanced degree with at least 4 years of relevant professional experience, preferably in the pharmaceutical or life sciences industry.
  • Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel.
  • Good understanding of Pharmaceutical commercial functions, including Data Management, Sales Operations, Commercial Analytics, and BI/Reporting.
  • Knowledge of coding languages (SAS, Python, R, VBA, etc.) and experience with data visualization software (Tableau, Power BI) is highly preferred.
  • Excellent analytical and quantitative skills, with a proven ability to solve complex problems.
  • Exceptional communication skills, both written and verbal.
  • Demonstrated organizational, time management, and project management skills, with the ability to lead teams and manage multiple projects simultaneously.
  • Strong ability to collaborate, adapt quickly, and work effectively in a fast-paced environment.
  • Familiarity with industry best practices in data analytics within the pharmaceutical sector.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Beghou, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $100,000 to $150,000.
 
We are currently unable to consider candidates who require, or will require in the future, sponsorship for work authorization . Applicants must be authorized to work in the US on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization.

At Beghou, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact!

Compensation and Benefits:
Beghou Consulting offers a competitive compensation package and a full complement of benefits, including the following:

Health & Wellness
We provide comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account to help you feel your best.

Work-Life Balance
Our generous PTO, company holidays, and paid parental & bonding leave help you recharge and be present where it matters most. With a flexible hybrid work policy, you’ll enjoy the balance of in-person collaboration and remote flexibility.

Financial Wellness
We invest in your future with a 401(k) and employer match, tax-free commuter, health, and childcare accounts, and performance bonuses. You’ll also receive a monthly phone stipend and access to an employee discount program.

Growth & Giving Back
Through mentorship, training, and tuition reimbursement, we help you grow your career while supporting causes you care about with a charitable donation match.

Culture & Values
Collaboration, innovation, and inclusion define us. Here, you’ll join a community that values your ideas and celebrates your impact. 

Equal Opportunity Employer
We are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view. We seek candidates who will add to our culture and support the company’s vision of a diverse, equitable, inclusive, and collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. We are proud to be an equal-opportunity employer. If you are excited about this role but do not meet 100% of the qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles.

Must be legally authorized to work in the United States.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.