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Quantitative Trading Developer Jobs in Raleigh, NC

Deloitte

ServiceNow Developer - Senior Consultant

Raleigh, NC · On-site

$52.50 - $72.25/hr

Evaluating technical trade-offs and making design recommendations that balance client requirements ... quantitative return on investment, program and target operating model, data strategy & governance ...

Lucid Software

Product Manager

Raleigh, NC · On-site +1

Conduct effective qualitative and quantitative research to become the primary advocate for user ... Engineers to navigate complex technical trade-offs. Requirements: * Education & Experience:

Lucid Software

Product Manager

Raleigh, NC · On-site

Conduct effective qualitative and quantitative research to become the primary advocate for user ... Engineers to navigate complex technical trade-offs. Requirements: * Education & Experience:

Samet Corporation

Senior Project Manager

Raleigh, NC

... trade partner solicitation and quantitative take-offs * Manage designers and design/procurement ... Mentor and provide guidance to lower-tier Project Managers, Engineers, and Administrators * Manage ...

Samet

Senior Project Manager

Raleigh, NC

... trade partner solicitation and quantitative take-offs * Manage designers and design/procurement ... Mentor and provide guidance to lower-tier Project Managers, Engineers, and Administrators * Manage ...

Clever Devices Ltd.

Product Specialist

Apex, NC · On-site

$70K - $120K/yr

... quantitative data to real event data * Prepares all materials to be needed at trade shows ... Bachelor's Degree in engineering or equivalent, computer engineering, computer science or ...

Samet

Senior Project Manager

Raleigh, NC · On-site

... trade partner solicitation and quantitative take-offs * Manage designers and design/procurement ... Mentor and provide guidance to lower-tier Project Managers, Engineers, and Administrators * Manage ...

Samet

MEP Estimator

Raleigh, NC

... Trade Contractor(s). Candidate should be a seasoned MEP Estimator with abilities at conceptual ... cost estimates, quantitative surveys, life cycle cost analysis studies and value engineering ...

Samet Corporation

MEP Estimator

Raleigh, NC

... Trade Contractor(s). Candidate should be a seasoned MEP Estimator with abilities at conceptual ... cost estimates, quantitative surveys, life cycle cost analysis studies and value engineering ...

Samet

MEP Estimator

Raleigh, NC · On-site

... Trade Contractor(s). Candidate should be a seasoned MEP Estimator with abilities at conceptual ... cost estimates, quantitative surveys, life cycle cost analysis studies and value engineering ...

Fusion HCR

Senior Estimator

Raleigh, NC · On-site

... studies for all assigned trades and building systems Provide pricing for value engineering ... and quantitative analysis of the documents. Must be able to multitask and meet established ...

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Quantitative Trading Developer information

See Raleigh, NC salary details

$95.3K

$165K

$252.3K

How much do quantitative trading developer jobs pay per year?

As of May 31, 2026, the average yearly pay for quantitative trading developer 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 Trading Developer, and why are they important?

To thrive as a Quantitative Trading Developer, you need strong programming skills (especially in Python, C++, or Java), a solid background in mathematics or statistics, and typically a degree in computer science, engineering, or a related quantitative field. Familiarity with trading platforms, financial data APIs, version control systems like Git, and experience with low-latency systems or high-frequency trading infrastructure is highly valued. Analytical thinking, problem-solving, and effective teamwork are crucial soft skills for building robust and innovative trading solutions. These skills and qualities are vital for developing, testing, and deploying algorithms that perform efficiently and reliably in fast-paced financial markets.

What are some common challenges faced by Quantitative Trading Developers when implementing trading algorithms in a live environment?

Quantitative Trading Developers often face challenges such as managing latency, ensuring data integrity, and handling real-time risk management when deploying algorithms in live markets. Transitioning from a simulation or backtest to a live trading environment can reveal issues like unexpected market conditions, slippage, or connectivity problems that may not have been apparent during development. Collaboration with traders, system engineers, and risk managers is essential to quickly diagnose and resolve production issues, making adaptability and strong communication skills crucial for success in this role.

What is a Quantitative Trading Developer?

A Quantitative Trading Developer is a professional who designs, develops, and implements automated trading strategies using mathematical models, statistical analysis, and programming skills. They work closely with quantitative analysts and traders to transform trading ideas into code that can execute trades in financial markets. These developers typically use programming languages like Python, C++, or Java to build high-performance trading systems that can handle large volumes of market data and execute trades with minimal latency. Their role is crucial in leveraging technology to gain a competitive edge in financial markets.

What is the difference between Quantitative Trading Developer vs Quantitative Analyst?

AspectQuantitative Trading DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, Mathematics; strong analytical skills
Work EnvironmentCollaborates with traders and developers; focuses on building trading systemsAnalyzes market data; develops models for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, proprietary trading firmsInvestment banks, asset management firms, hedge funds

In summary, Quantitative Trading Developers primarily focus on building and maintaining trading systems using programming skills, while Quantitative Analysts concentrate on developing models and analyzing data to inform trading decisions. Both roles are essential in quantitative finance but differ in their core responsibilities and skill sets.

What are popular job titles related to Quantitative Trading Developer jobs in Raleigh, NC? For Quantitative Trading Developer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Quantitative Trading Developer jobs in Raleigh, NC look for? The top searched job categories for Quantitative Trading Developer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Quantitative Trading Developer jobs? Cities near Raleigh, NC with the most Quantitative Trading Developer job openings:
Quantitative Trading Developer jobs near you

Senior Quant Engineer (Open to Remote)

Archgroup

Raleigh, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

About the Role

Design and build quantitative technology solutions powering a systematic, data-driven investment platform for a $46bn global investment management function. Focused primarily on fixed income and credit markets while also supporting alternative investment strategies across the platform. Partner closely with portfolio managers, traders, quantitative researchers, risk managers, and investment operations teams to design and implement scalable tools for portfolio construction, trading, analytics, and investment decision-making. Role demands a highly hands-on senior engineer who can develop robust data pipelines, analytics frameworks, and front-oce workflows, consistently with best-practices across analytics teams at Arch. Contribute to the ongoing development of AIM's internal investment platform, including backend services and APIs supporting AIMI Native - the firm's internal web-based investment management interface. Reporting directly to the Head of Quant Engineering, with close collaboration across engineering and technology partners at AIM.

It is preferred, but not required, that candidates are willing and open to relocation to Bermuda. If not, this role is can sit remotely in the US, but candidates must be EST time zone based.

Job Responsibilities

  • Design and build front-oce quantitative tools and infrastructure supporting portfolio managers, traders, and alternative asset managers across fixed income and credit strategies

  • Develop and maintain data ingestion and processing pipelines integrating data from major financial vendors (ICE, Bloomberg, FactSet, Kamakura, LSEG, and others)

  • Build and enhance portfolio analytics, optimization frameworks, and simulation environments for portfolio construction, risk analysis, and strategy implementation

  • Design and implement daily trading order generation and portfolio management workflows, integrating quantitative tools with front-oce systems to streamline the investment process

  • Partner with portfolio managers and traders to translate investment workflows and business requirements into scalable technical solutions

  • Develop backend services and API interfaces for the AIMI internal investment platform, enabling seamless interaction between analytics systems and front-oce applications

  • Build scalable, maintainable Python-based analytics libraries and services following software engineering and quantitative development best practices

  • Ensure data quality, integrity, and consistency across all datasets used for portfolio construction, risk analysis, and trading decisions

  • Collaborate with quant researchers, risk, IT, and operations teams to deliver robust and scalable quantitative infrastructure across the investment platform

  • Contribute to building a best-in-class, data-driven investment technology platform supporting both fixed income and alternative strategies

  • Support the production environment of quantitative tools used by the investment team, ensuring reliability, transparency, and operational eciency

Skills and Qualifications

  • 10+ years of experience in quantitative engineering, financial engineering, or front-oce technology within asset management, hedge funds, financial institutions or other similarly data-driven entity

  • Strong hands-on Python programming skills, including production-quality analytics and data processing frameworks

  • Experience working with financial market data vendors such as Bloomberg, ICE, FactSet, Kamakura, LSEG, or similar large financial datasets

  • Deep experience in data ingestion, normalization, and large-scale data processing, preferably in financial markets environments

  • Solid understanding of fixed income and credit markets, including bonds, credit risk metrics, and portfolio analytics preferred

  • Experience designing and implementing portfolio optimization or simulation frameworks preferred

  • Track record building front-oce quantitative tools used by portfolio managers or traders

  • Familiarity with REST APIs and backend service development for internal applications and analytics platforms

  • Proven ability to collaborate with quant researchers, portfolio managers, risk teams, and technology groups in complex data-rich environments

  • Strong analytical, problem-solving, and engineering skills with the ability to translate business requirements into scalable technical solutions

  • Excellent communication skills - able to convey complex quantitative and technical concepts to investment professionals

  • Strong team player comfortable working across investment, research, and technology teams in a fast-paced environment

Education

  • Master's or Ph.D., or equivalent work experience, in a quantitative discipline: e.g., economics, finance, statistics, science, engineering

#LI-remote

#LI-AT1

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$234,090 - $316,710/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

10200 Arch Capital Services LLC

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