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Quantitative Trading Jobs in Raleigh, NC (NOW HIRING)

Well

Data Engineer

Chapel Hill, NC · On-site

$115K - $145K/yr

Good understanding of general engineering principles, trade-offs, and systems design * Robust ... Degree and/or background in a related field such as Computer Science, Engineering or a quantitative ...

Deloitte

Financial Risk Senior Consultant

Raleigh, NC · On-site

$113K/yr

Engage with industry trends by participating in discussions with clients, industry peers, trade ... Advanced degree and/or certification (e.g., Quant MS, MBA, FRM, CFA, CRCM, CPA, PMP). * Expertise ...

SAS

Software Developer (Emerging Careers)

Cary, NC · Hybrid

Bachelor's degree in Computer Science or related quantitative field with a minimum of 3 years of ... SAS collects this information solely for trade law compliance purposes and does not use it to ...

SAS

Software Developer (Emerging Careers)

Cary, NC · On-site

Bachelor's degree in Computer Science or related quantitative field with a minimum of 3 years of ... SAS collects this information solely for trade law compliance purposes and does not use it to ...

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Showing results 41-60

All JobsQuantitative Trading JobsQuantitative Trading Jobs in Raleigh, NC

Quantitative Trading information

See Raleigh, NC salary details

$95.3K

$165K

$252.3K

How much do quantitative trading jobs pay per year?

As of Aug 8, 2026, the average yearly pay for quantitative trading in Raleigh, NC is $164,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,700.00 and $193,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a quantitative trader, and why are they important?

To thrive as a Quantitative Trader, you need a strong background in mathematics, statistics, and financial theory, typically supported by a degree in a quantitative field such as mathematics, physics, computer science, or engineering. Expertise in programming languages like Python, C++, and R, as well as familiarity with trading platforms and statistical analysis tools, is essential. Critical thinking, attention to detail, and the ability to work under pressure are standout soft skills in this role. These skills are crucial for developing, testing, and executing profitable trading strategies in fast-moving financial markets.

What is the difference between Quantitative Trading vs Quantitative Research?

AspectQuantitative TradingQuantitative Research
Primary FocusDeveloping and executing trading strategies to generate profitsCreating models and theories to understand markets and inform trading
Work EnvironmentFast-paced, real-time decision making in trading firms or hedge fundsResearch-oriented, often academic or laboratory setting
Required CredentialsStrong quantitative skills, programming, finance knowledge; often degrees in math, finance, or engineeringAdvanced degrees (Masters/PhD) in math, physics, or related fields; research experience

Quantitative Trading focuses on applying quantitative models to make trading decisions and generate profits in real-time markets. Quantitative Research emphasizes developing and testing models to understand market behavior, often serving as a foundation for trading strategies. While both roles require strong quantitative skills and programming, trading roles are more execution-focused, whereas research roles are more theoretical and exploratory.

What is quantitative trading?

Quantitative trading refers to the use of mathematical models, algorithms, and statistical techniques to identify and execute trading opportunities in financial markets. Quantitative traders, often called 'quants,' analyze large datasets to develop strategies that can be automated for buying and selling securities. This approach relies heavily on computer programming, data analysis, and financial theory to make systematic, data-driven trading decisions. Quantitative trading is commonly used by hedge funds, investment banks, and proprietary trading firms to gain an edge in the markets.

How does a quantitative trader typically collaborate with software engineers and data scientists within a trading firm?

Quantitative traders work closely with software engineers and data scientists to develop, test, and optimize trading algorithms. Traders often define the strategy and specify the data requirements, while engineers build and maintain the trading infrastructure, and data scientists assist with advanced statistical analysis and machine learning models. Effective communication and a collaborative approach are crucial, as these teams must integrate their expertise to ensure strategies are both profitable and technically robust. Regular meetings, code reviews, and joint problem-solving sessions are common practices in this collaborative environment.
What are the most commonly searched types of Quantitative Trading jobs in Raleigh, NC? The most popular types of Quantitative Trading jobs in Raleigh, NC are:
What are popular job titles related to Quantitative Trading jobs in Raleigh, NC? For Quantitative Trading jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Quantitative Trading jobs in Raleigh, NC look for? The top searched job categories for Quantitative Trading jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Quantitative Trading jobs? Cities near Raleigh, NC with the most Quantitative Trading job openings:
Quantitative Trading jobs near you
Infographic showing various Quantitative Trading job openings in Raleigh, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $164,990 per year, or $79.3 per hour.

Data Engineer

Well

Chapel Hill, NC • On-site

$115K - $145K/yr

Full-time

Posted 17 days ago

Job description

Description
Company: The mission of Well (https://www.well.co/) is to transform healthcare through our unique impact on our members' health and happiness. We do this through our differentiated consumer experience and world-class data and analytics engine that drive engagement and behavior change. Our product - a consumer health engagement platform - integrates concierge services, behavioral health, telemedicine, care management and wellness services to drive sustained engagement, lower costs and improve the health of members. In addition to our product, we know our team makes us unique. We're a highly diverse and engaged organization whose employees are passionate about the mission of the company and whose management is passionate about the employees. We promote an employee- and member-centric culture with generous benefits, which you can learn more about here: https://www.well.co/careers.
Position Title: Data Engineer
Reporting To: Manager, Data Engineering
Location: Chapel Hill, NC; Minneapolis, MN; Boston, MA (Newton); New York, NY; Remote in approved locations
Salary: This role can be hired for at either the Data Engineer 1 ($115,000-$135,000) or Data Engineer 2 ($125,000-$145,000), depending on qualifications, plus bonus potential and benefits
Position Summary:
Well is seeking an experienced and self-motivated data engineer to help build the next generation of our data pipelines and data tooling. You will be creating new services, interfaces, data pipelines and cloud infrastructure to support the transfer, ingestion, monitoring and integration of large amounts of data: thousands of files, millions of events, and billions of rows in our data lake. We are in the process of scaling our data infrastructure and driving mission critical AI features for our products. Come join us, it's a pivotal time to be at Well and you'll make a real difference.
Responsibilities:
  • Contribute to the design and implementation of a robust ETL process, managing file ingestion from external parties to AWS, GCP, and BigQuery with a focus on scalability and reliability.
  • Configure, maintain, and extend core data platform and internal data administration tools.
  • Monitor ETL processes with internal and external partners, and respond to events and/or data processing errors.
  • Collaborate with a team of experienced software engineers, DevOps engineers and data scientists to create and deliver a seamless, tailored experience for data team stakeholders.
  • Achieve operational excellence in software development by participating in and leading code reviews, quality assurance, and production monitoring
  • Take personal responsibility for keeping all Well systems and data, including sensitive member data, secure and safe, according to Well data and security policies and HIPAA guidelines

Requirements
  • Experience in delivery of software utilizing Node.js, Python, SQL, and Terraform
  • 3+ years of software development experience using cloud providers (AWS and/or GCP)
  • Good understanding of general engineering principles, trade-offs, and systems design
  • Robust coding abilities and demonstrated ability to resolve complex technical challenges
  • Experience with test driven development, an understanding of microservices and big data patterns with insight into choices and tradeoffs involved
  • Degree and/or background in a related field such as Computer Science, Engineering or a quantitative discipline with strong demonstrated practical experience
  • Willingness to learn new patterns, languages, technologies and methodologies, aligning both with our Engineering culture and continuously evolving technology environment
  • Experience working with healthcare data such as insurance claims, electronic health records, and wearables a plus

Apply