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Algorithmic Trading Developer Jobs (NOW HIRING)

DRW

Algorithmic Trader

Chicago, IL · On-site

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated ... You will work closely with experienced traders, software engineers, and quantitative researchers to ...

Hyphen Connect Limited

$109.30K - $149.50K/yr

Join our innovative proprietary trading firm dedicated to developing cutting-edge algorithmic ... Expert-level proficiency in C++ or Rust programming. * Strong background in high-frequency trading ...

Navtech, Inc.

Algo Java Developer

Manhattan, NY · On-site

$56.25 - $72.75/hr

Algo Java Developer Location: New York, NY (Remote until Covid is resolved, then in office ... The Cash Equities Algorithmic Trading Technology team runs the execution stack from client FIX ...

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How much do algorithmic trading developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for algorithmic 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 are the key skills and qualifications needed to thrive as an Algorithmic Trading Developer, and why are they important?

To thrive as an Algorithmic Trading Developer, you need strong programming skills (especially in Python, C++, or Java), a solid grasp of quantitative finance, and typically a degree in computer science, mathematics, or related fields. Expertise in trading platforms, financial data APIs, and familiarity with machine learning libraries and version control systems is common, alongside relevant certifications like CFA or CQF. Exceptional analytical thinking, attention to detail, and problem-solving abilities are crucial soft skills for success in this role. These capabilities enable developers to design, test, and optimize trading algorithms that perform reliably and profitably in dynamic financial markets.

What are some common challenges Algorithmic Trading Developers face when deploying new trading strategies?

Algorithmic Trading Developers often encounter challenges such as ensuring low-latency execution, accurately backtesting strategies with real-world data, and managing the risks of live trading. Deployment requires close collaboration with quantitative analysts, traders, and IT teams to validate models and maintain robust infrastructure. Additionally, developers must monitor for unexpected market conditions and quickly address any system failures or regulatory changes that could impact trading performance.

What is an Algorithmic Trading Developer?

An Algorithmic Trading Developer is a software professional who designs, builds, and maintains computer programs (algorithms) that automatically execute trades in financial markets. These developers combine knowledge of programming, quantitative analysis, and financial markets to create strategies that can analyze market data and place trades faster and more efficiently than human traders. Their work often involves working with large datasets, optimizing code for speed, and ensuring low-latency execution. They may also collaborate with traders and quantitative analysts to implement and test new trading ideas.

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

AspectAlgorithmic Trading DeveloperQuantitative Analyst
Required CredentialsBachelor's or Master's in Computer Science, Finance, or related fields; programming skillsDegree in Mathematics, Statistics, Finance, or Economics; strong analytical skills
Work EnvironmentDevelops trading algorithms, codes, tests, and implements trading systemsBuilds models, analyzes data, and provides trading insights
Employer & Industry UsageFinancial firms, hedge funds, trading firms focusing on system developmentInvestment banks, hedge funds, asset managers focusing on data analysis

While both roles work within the finance industry and require quantitative skills, Algorithmic Trading Developers primarily focus on coding and implementing trading algorithms, whereas Quantitative Analysts analyze data and develop models to inform trading strategies.

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Algorithmic Trading Developer jobs near you

Low Latency Multi-Asset Algorithmic Trading Quant Developer

Quanta Search

New York, NY

Other

Posted 18 days ago

Job description

Our client is one of world's leading providers of advisory and capital market services and the premier provider of liquidity to corporations, governments, and institutions. In the world's key financial centers, we partner with our clients to deliver innovative financial solutions that help them achieve their strategic and financial goals. Within the firm, the Quantitative Modeling and Analytics team provides models, analytics, and quantitative support to the fx, rates, credit, and commodities business units to enable them to achieve these goals.

Due to continuing business growth, they are looking to hire an individual to join the algorithmic quantitative analytics team within the QMA group. This individual will be responsible for a range of tasks including

  • Work with senior trading, quant / quant dev, business, and technology management to drive the continued growth of the eTrading business across all foreign exchange, fixed income, and interest rate products
  • Develop and support pricing, hedging and algorithm trading models and software for electronic trading in fixed income, foreign exchange and interest rate markets
  • Develop tools and perform analysis of electronic trading and markets in areas such as liquidity, market structure, profit and loss, and transaction cost analysis
  • Maintain strong knowledge of current markets, technologies, vendors, trends and innovations and adapt the technology and analytics approaches as appropriate
  • Partner with other areas including technology, risk management, and compliance to deploy new or enhanced models and components to production

The successful candidate will demonstrate skills in multiple distinct areas including

  • 5+ years of experience in developing electronic and algorithmic trading models and tooling
  • Superior software skills in Java and Python, experience with time-series databases (e.g. kdb) is an advantage
  • Demonstrated experience in hands-on development and deployment of major components into production trading systems
  • Good understanding of complex event processing, low latency and low/zero GC development
  • Superior analysis and debugging skills in support of active production trading operations
  • Strong knowledge of electronic and algorithmic trading markets and products in both fixed income and foreign exchange
  • Commercially oriented with a pragmatic approach to project development and delivery
  • Outstanding communication and team-working skills
  • Ability to work in a high-pressure environment with tight deadlines

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