1

Algorithmic Trading Developer Jobs (NOW HIRING)

Our team spans trading, engineering, and business operations, working together to build and support ... Manage pricing, positioning, and algorithmic trading activity across a range of options market ...

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 ...

$109K - $149K/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 ...

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 ...

Showing results 21-40

Algorithmic Trading Developer information

See salary details

$15

$60

$75

How much do algorithmic trading developer jobs pay per hour?

As of Aug 23, 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.
More about Algorithmic Trading Developer jobs

What cities are hiring for Algorithmic Trading Developer jobs?

Cities with the most Algorithmic Trading Developer job openings:

What states have the most Algorithmic Trading Developer jobs?

States with the most job openings for Algorithmic Trading Developer jobs include:

What job categories do people searching Algorithmic Trading Developer jobs look for?

The top searched job categories for Algorithmic Trading Developer jobs are:

Infographic showing various Algorithmic Trading Developer job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 2% Part Time, and 16% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $124,843 per year, or $60 per hour.

Quantitative Execution Trader

Edgehog Trading

Chicago, IL • On-site

$128 - $173/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

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:
  • Manage pricing, positioning, and algorithmic trading activity across a range of options market making strategies and desks
  • Act as the primary point of contact for brokers and institutional counterparties, translating relationship and flow context into concrete adjustments for pricing and positioning
  • Analyze market microstructure and execution quality to generate alpha signals and improve strategy performance
  • Proactively manage real-time risk across a diversified portfolio of options positions
  • Develop new relationships to improve access to flow and expand the business
  • Collaborate with quant researchers and engineers to develop new models using our proprietary datasets
Qualifications and skills:
  • Previous experience trading (2+ years) with a proven track record of success managing an options market making book and maintaining/improving automated trading systems
  • BA/BS/MS/PhD degree in Computer Science, Data Science, Engineering, Math, Economics, Finance, Physics, or related field
  • Sharp verbal communication skills, detail oriented, team player
  • Excellent ability to use market information to positively impact trading operations and algorithmic trading systems
  • Ability to work well under pressure and make fast decisions in a dynamic market
  • Effective interpersonal skills, can successfully manage and form external counterparty relationships
  • Strong python programming skills, familiarity with AI agents a plus
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: Weekly 1-on-1s with your mentor, quarterly reviews with leadership
  • Chicago-based: Affordable cost of living, vibrant trading community
  • 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
  • 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 USD per year

#J-18808-Ljbffr