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Algorithmic Trading Developer Jobs (NOW HIRING)

Who You Are: We're seeking an experienced Algo Trading / SOR Developer to join our team in New York ... In this role, you will take a lead in developing greenfield algorithmic trading systems, shaping ...

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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Algorithmic Trading Developer information

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How much do algorithmic trading developer jobs pay per hour?

As of Sep 12, 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 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 are the key skills and qualifications needed to thrive as an algorithmic trading developer?

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 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.

How to become an algorithmic trading developer?

To become an algorithmic trading developer, you typically need a strong background in computer science, mathematics, or finance, with proficiency in programming languages such as Python, C++, or Java. Knowledge of financial markets, trading strategies, and experience with data analysis, algorithm design, and trading platforms are essential. Gaining relevant certifications or completing specialized courses can also enhance your qualifications.
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Infographic showing various Algorithmic 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.

Senior C++ Software Engineer - Algorithmic Trading

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Job description

About us
Edgehog Trading is a proprietary trading firm specializing in electronic options market making. We take a technology-driven approach, designing and operating automated, scalable systems to provide liquidity across markets.
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, and continuous improvement to navigate complex and evolving markets.
We operate in a highly collaborative environment where ideas can move quickly from concept to implementation, and where individuals are empowered to take ownership and contribute directly to the firm's growth.
What you'll do:
  • Design, implement, and optimize low-latency C++ applications for trading strategy execution.
  • Collaborate closely with traders and other engineers to translate ideas into robust, production-ready systems.
  • Conduct diagnostic assessments and perform foundational data analysis to identify key issues, enabling data-driven prioritization of tasks and resources.
  • Modify inter-application behaviors and component interactions in a safe, testable, and controlled manner.
  • Rewrite complicated Java applications into C++
  • Optimize production code and other system components to achieve low-latency and high-throughput capabilities.

Qualifications and skills:
  • 5+ years of experience at an options market making firm
  • Strong proficiency in modern C++
  • Deep understanding of computer science fundamentals (data structures, algorithms, concurrency)
  • Strong debugging, profiling, and performance-tuning skills
  • Comfortable working in a Linux environment and familiar with system-level programming
  • Possess strong intuition for selecting sensible default behaviors and parameter values
  • Ability to translate business goals and ideas into scalable production code

Why Edgehog:
  • Small team advantage: Direct access to founders and senior team members from day one
  • Ownership early: Manage real P&L and make meaningful impact within your first year
  • Cutting-edge tech: Work with our proprietary models and low-latency trading systems built in-house
  • Tight feedback loops: Monthly 1-on-1s with your mentor, quarterly reviews with leadership
  • Chicago-based: Affordable cost of living, vibrant trading community

Benefits:
  • Comprehensive health, dental, and vision insurance with premiums 100% covered by the firm
  • 401(k) with a 4% company match
  • Unlimited paid time off and sick leave
  • Free lunch, coffee, drinks, and snacks
  • Commuter benefits
  • Monthly happy hours and annual team events

The base salary range for this position is listed below. Base salary represents just one part of overall compensation; all full-time, permanent roles are eligible for a discretionary bonus and benefits, including items in the above list.
The base salary for this role is 150,000 - 175,000 USD per year