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Quantitative Trading Jobs in Raleigh, NC (NOW HIRING)

Fidelity Investments

Senior Data Engineer - PL/SQL

Durham, NC · On-site

$102K - $139K/yr

Strong data modeling skills using Quantitative and Multi-Dimensional Analysis * In-depth knowledge ... Trading, and Investment Operations departments at Fidelity. Our team develops top-tier data ...

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 ...

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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 10, 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.

Senior Data Engineer - PL/SQL

Fidelity Investments

Durham, NC • On-site

$102K - $139K/yr

Full-time

Re-posted 1 hour ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services

Job description


Note: Fidelity will not provide immigration sponsorship for this position.
The Role
Join a skilled Fidelity's Asset Management Technology team to develop advanced data engineering solutions that power critical investment decisions. This role involves developing scalable data processing solutions, designing robust data models and ETL pipelines, and applying modern DevOps and Agile practices. Ideal candidate is deeply enthusiastic about innovation in financial technology, with extensive proficiency in Oracle PL/SQL, AutoSys, data warehousing.
The Expertise and Skills You Bring
You bring a wealth of experience and skills that are critical to our success. These include:
  • Years of demonstrated expertise in crafting high-quality data engineering solutions
  • Strong software development background in the Financial Industry
  • Expertise in Oracle PL/SQL development, SQL Scripting, and database performance tuning
  • Proven understanding of ETL tools like Informatica and Data Warehousing platforms such as Snowflake
  • A passionfor learning new technologies and analyzing data to identify gaps and build solutions
  • The ability to independently address technical challenges and develop innovative solutions
  • Strong data modeling skills using Quantitative and Multi-Dimensional Analysis
  • In-depth knowledge of data composition concepts including Transactional, Data Mart, and Data Warehouse structures
  • Basic proficiency in Java, Python, REST API, and AWS is advantageous
  • A dedication to delivering high-quality software using DevOps, Continuous Integration, and Continuous Delivery practices (Maven, Jenkins, Git, Docker)
  • Experience with Agile methodologies (Kanban and SCRUM) is a plus
  • Strong analytical and problem-solving skills
  • Excellent written and oral communication skills

Note: This position requires participation in an after-hours, on-call rotation to provide production support, including troubleshooting, incident response, and maintaining the stability of production systems.
The Team
Asset Management Technology (AMT) offers global technology and assistance to the Investment Management, Research, Trading, and Investment Operations departments at Fidelity. Our team develops top-tier data solutions for Fidelity Strategic Advisor Inc.'s managed account offerings. We are responsible for a multi-terabyte data platform that underpins crucial investment management functions for Fidelity's leading wealth management services. Our platform caters to investment professionals and clients who regularly engage in significant market investment decisions.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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