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Trading Developer Jobs (NOW HIRING)

Valkyrie Trading

Trade Support Engineer

Chicago, IL · On-site

$145K - $177K/yr

As a Trade Support Engineer, you'll sit on the front line of our trading operations, working ... Monitor the production trading environment and respond to alerts in real time. * Triage, resolve ...

Valkyrie Trading

Trade Support Engineer

Chicago, IL · On-site

$145K - $177K/yr

As a Trade Support Engineer, you'll sit on the front line of our trading operations, working ... Monitor the production trading environment and respond to alerts in real time. * Triage, resolve ...

Edgehog Trading

Senior Options Pricing Developer

Chicago, IL · On-site

$56.25 - $74.25/hr

About us Edgehog Trading is a proprietary trading firm specializing in electronic options market ... Our team spans trading, engineering, and business operations, working together to build and support ...

Edgehog Trading

Senior Mid-Office Analyst

Chicago, IL · On-site

$90K - $120K/yr

Our team spans trading, engineering, and business operations, working together to build and support the systems that power the firm. We emphasize data-driven decision making, rigorous problem solving ...

SecondTalent

Gleam Developer

Phoenix, AZ · On-site

$100K - $140K/yr

Senior Gleam Developer: $200,000 - $280,000 Demand is concentrated at BEAM‑friendly SaaS companies, at early‑stage startups shipping reliability‑critical services, at fintech and trading shops ...

Alpaca

Director of Engineering, Trading

Reporting to the CPO/CTO/OCTO [TBD] , you will build and scale a focused engineering organization responsible for institutional trading capabilities across multiple asset classes. You will work ...

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Trading Developer information

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$15

$60

$75

How much do trading developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for trading developer in the United States is $60.02, according to ZipRecruiter salary data. Most workers in this role earn between $54.57 and $71.15 per hour, depending on experience, location, and employer.

What is a trading developer?

Trading Developers are software engineers who design, build, and maintain technology systems used by trading firms, banks, or hedge funds to execute financial trades. They work closely with traders and quantitative analysts to develop algorithms, automate trading strategies, and ensure low-latency transaction processing. Their role often involves programming, debugging, optimizing code for speed, and integrating with various data feeds or exchanges. Trading Developers typically need strong programming skills (often in C++, Python, or Java), a good understanding of financial markets, and the ability to solve complex, performance-critical problems.

How does a trading developer typically collaborate with traders and quantitative analysts during the development of trading systems?

A Trading Developer works closely with traders and quantitative analysts to translate trading strategies into robust, high-performance code. Collaboration often involves regular meetings to review requirements, gather feedback, and iterate on prototypes. Developers may sit on the trading floor or join daily stand-ups, ensuring quick communication and alignment with business goals. This collaborative approach helps ensure that the systems are both technically sound and tailored to the strategic needs of the trading desk.

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

To thrive as a Trading Developer, you need strong programming skills (often in C++, Python, or Java), a solid understanding of financial markets, and a relevant degree such as computer science, mathematics, or engineering. Familiarity with trading platforms (like FIX protocol), low-latency systems, and version control tools, as well as experience with automated testing frameworks, are typically required. Analytical thinking, attention to detail, and effective communication are essential soft skills for collaborating with traders and managing complex projects. These abilities are crucial for building robust, high-performance trading systems that can adapt to dynamic market conditions and deliver competitive advantages.

What is the difference between Trading Developer vs Quantitative Analyst?

AspectTrading DeveloperQuantitative Analyst
Required CredentialsBachelor's or Master's in Computer Science, Finance, or related fields; programming skills (Python, C++, Java)Degree in Mathematics, Statistics, Finance, or related; strong analytical and programming skills
Work EnvironmentDevelops trading systems, algorithms, and tools used by tradersBuilds mathematical models and algorithms to analyze financial data
Employer & Industry UsageFinancial firms, hedge funds, trading desksAsset management firms, hedge funds, investment banks

While both roles require programming skills and a finance background, Trading Developers focus on creating and maintaining trading systems, whereas Quantitative Analysts develop models to inform trading strategies. Both roles are integral to trading operations but differ in their primary focus and responsibilities.

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Trading Developer jobs near you
Infographic showing various Trading Developer job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 3% Part Time, and 10% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $124,843 per year, or $60 per hour.

Quantitative Developer | Trading Team

New York, NY

Jump Trading
Finance and Insurance • 501 - 1,000 employees
Learn more about Jump Tradingexternal

Full-time

Re-posted 14 days ago

Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

At Jump, we bring together world class talent, battle tested infrastructure, and serious research intensity to build and scale trading strategies across every asset class and time horizon. Equities as an asset class is competitive, global and fast growing, and we participate in the world's equity markets via a vast array of businesses. Researchers coalesce around projects that may be market specific (investigating eccentricities and opportunities in specific venues or regions), latency specific (HF vs. Mid or Low Frequency), and research approach (ML vs. Deep Learning vs. hand crafted alphas; or groups focused on different swaths of data sets requiring deep expertise and focus). Our environment is a collaborative one, seeking to strike the balance between deep focus and expertise where needed, and the freedom to chase ideas across boundaries. Hierarchy and compartmentalization are not what we are about.
 
We are looking for experienced Quantitative Developers to join a "mixed frequency" research group (horizons range from many minutes to many days). It's a flat, fast moving, collaborative environment where each member has agency, and of whom much is expected. The team is global, as is the research and development. 
 
What You'll Do:
  • You'll contribute to one or more of the following projects:
    • Production Trading Systems and Live Operations: Own the reliability, observability, and operational performance of the firm's live trading environment during market hours. Monitor live systems in real time, act as a primary responder to production issues, and work closely with quantitative researchers and engineers to investigate, mitigate, and resolve incidents affecting trading, risk, or system stability.
    • Production Tooling, Deployment, and Operational Safety: Build and improve internal tools, dashboards, alerts, and automation to support live trading operations and reduce manual intervention. Design and maintain robust testing, deployment, rollout, and rollback processes for production changes, and strengthen production safety through health checks, failover mechanisms, and operational controls.
    • Microstructure research: Develop tools to enhance research on market microstructure, collaborating with researchers to generate and analyze key features.
    • Data Pipeline and System Management: Engage in full-cycle development, including research, coding, testing, and deploying systems into production. Provide direct support to end users, troubleshoot issues, and manage system upgrades.
Skills You'll Need:
  • 2+ year track record of solving challenging problems through coding with real metrics & impact in industry.
  • Strong software development skills in Python and/or C++, with the ability to build efficient, modular, and reliable systems.
  • Strong production engineering skills in Linux environments, including troubleshooting, scripting, monitoring, and operating real-time systems under pressure.
  • Experience with modern infrastructure and deployment practices such as CI/CD, Infrastructure as Code, containerization, and observability tooling is advantageous (e.g. GitLab, Jenkins, Terraform, Ansible, Docker, Kubernetes, Prometheus, Grafana).
  • Strong learning ability, intellectual curiosity, versatility, and originality combined with a pragmatic outlook.
  • Ability to reason through quantitative problems and communicate effectively with quantitative researchers and engineers.
  • Reliable and predictable availability to ensure smooth operations of production systems, including responsiveness during trading hours when needed.
  • Over two years of experience working with industrial-grade codebases using compiled languages such as C++ is advantageous.
  • Familiarity with high-performance computing (HPC) and distributed large-scale systems is a plus.

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