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Quant Engineer Jobs in Raleigh, NC (NOW HIRING)

Windrose Staffing

PROJECT ENGINEER

Raleigh, NC · On-site

PROJECT ENGINEER in RALEIGH NC AREA NEW OPPORTUNITY for an experienced Project Engineer! Searching ... or quantitative productivity standards. * Ability to maintain regular, punctual attendance ...

Windrose Staffing

PROJECT ENGINEER

Raleigh, NC

Project Engineers help manage a project's planning and processes to ensure it is completed ... or quantitative productivity standards. * Ability to maintain regular, punctual attendance ...

SAS

Software Development Engineer in Test (C)

Cary, NC · On-site

$46.75 - $60.25/hr

Bachelor's degree in Computer Science or related quantitative field. * Minimum of 5 years experience testing software and writing and automating tests * Advanced C or C++ programming skills and/or ...

SAS

Software Development Engineer in Test (C)

Cary, NC · On-site

$46.75 - $60.25/hr

Bachelor's degree in Computer Science or related quantitative field. * Minimum of 5 years experience testing software and writing and automating tests * Advanced C or C++ programming skills and/or ...

Fidelity Investments

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

Strong data modeling skills using Quantitative and Multi-Dimensional Analysis * In-depth knowledge ... A dedication to delivering high-quality software using DevOps, Continuous Integration, and ...

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All JobsQuant Engineer JobsQuant Engineer Jobs in Raleigh, NC

Quant Engineer information

See Raleigh, NC salary details

$36.9K

$88K

$146.3K

How much do quant engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for quant engineer in Raleigh, NC is $88,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $97,200.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Quantitative engineers, or quants, working in finance or hedge funds with extensive experience, advanced degrees, and strong programming skills can earn $500,000 or more annually through base salary, bonuses, and profit sharing. Such compensation typically requires expertise in mathematics, programming languages like Python or C++, and a deep understanding of financial markets. These roles are often located in major financial hubs and demand high levels of performance and specialization.

How much do quants get paid?

Quantitative analysts, or quants, typically earn between $100,000 and $200,000 annually at entry to mid-level positions, with senior roles often exceeding $300,000 including bonuses. Compensation varies based on experience, location, firm size, and performance, with many quants also receiving performance-based bonuses and benefits. Strong skills in mathematics, programming, and finance are essential for higher salaries in this field.

What engineers make $300,000 a year?

Senior quantitative engineers, often called quant researchers or quant developers, can earn $300,000 or more annually, especially with experience, advanced degrees, and expertise in programming languages like Python or C++, as well as knowledge of financial markets and risk management. Compensation typically includes base salary, bonuses, and profit sharing, particularly in hedge funds, investment banks, and proprietary trading firms.

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

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What are Quant Engineers?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

Do I need a PhD to be a quant?

A PhD is not strictly required to become a quantitative engineer, but many roles prefer candidates with advanced degrees in fields like mathematics, physics, or engineering. Strong programming skills, proficiency in tools like Python or C++, and solid quantitative knowledge are essential for success in the field.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

How do Quant Engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.
What are popular job titles related to Quant Engineer jobs in Raleigh, NC? For Quant Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Quant Engineer jobs in Raleigh, NC look for? The top searched job categories for Quant Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Quant Engineer jobs? Cities near Raleigh, NC with the most Quant Engineer job openings:
Quant Engineer jobs near you
LLM Alignment Specialist - Engineering

LLM Alignment Specialist - Engineering

micro1 AI

Raleigh, NC • Remote

$80 - $90/hr

Part-time

Posted 18 days ago

Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions

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