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Algorithmic Trading Developer Jobs (NOW HIRING)

Omaze

Algorithmic Trading Senior Manager

Jersey City, NJ · On-site

$156 - $204.75/hr

Collaborate with engineering teams to improve trading infrastructure, UIs, reduce latency, and ... or algorithmic trading experience, preferably in sports betting, prediction markets, derivatives ...

Eagle Seven

Algorithmic Trader

Chicago, IL · On-site

Eagle Seven is seeking an experienced Algorithmic Trader to trade futures contract listed on Eurex ... engineering, business/finance, or related field * 4-6 years of experience trading financial ...

Eagle Seven

Algorithmic Trader

Chicago, IL · On-site

Eagle Seven is seeking an experienced Algorithmic Trader to trade futures contract listed on Eurex ... engineering, business/finance, or related field * 4-6 years of experience trading financial ...

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How much do algorithmic trading developer jobs pay per hour?

As of Aug 22, 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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Algorithmic Trading Developer jobs near you
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.

Algorithmic Trading Developer

Bright Vision Technologies

Raleigh, NC • On-site

$100 - $150/hr

Other

Posted 4 days ago

Job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: Algorithmic Trading Developer

Location: 100% Remote (Continental United States)

Position Type: Full-time, Direct W2

Salary Range: $100,000–$150,000 Annually

Experience Required: 6+ Years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary:

We are seeking an experienced Algorithmic Trading Developer to build high-performance trading, pricing, and risk management systems for fintech applications. The ideal candidate will have expertise in C++, Java, or Python, low-latency systems, market data, financial markets, and quantitative development, with experience building scalable, production-grade trading platforms.

Key Responsibilities:
  • Design and develop low-latency trading, pricing, and risk systems.
  • Build market data pipelines, backtesting frameworks, and trading tools.
  • Optimize application performance, latency, and throughput.
  • Develop risk, P&L, and analytics solutions.
  • Collaborate with quants, traders, and engineering teams.
  • Troubleshoot production issues and maintain system reliability.
Required Qualifications:
  • 6+ years of software engineering experience, preferably in fintech.
  • Strong programming skills in C++, Java, or Python.
  • Experience with low-latency systems, market data, FIX protocol, and financial markets.
  • Strong knowledge of risk management, performance optimization, and concurrency.
Preferred Qualifications:
  • Experience with QuantLib, kdb+/q, or GPU-accelerated computing.
  • Familiarity with cloud-native fintech platforms or advanced quantitative methods.

Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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