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Algorithmic Trading Developer Jobs (NOW HIRING)

ECI Group

DevOps Engineer (Contract)

Houston, TX · On-site

... algorithmic trading technology in a compliant and flexible way • Being part of the on-call rota working as part of a global team development engineers Qualifications : Required : • Must have ...

Sunrise Futures, LLC

Senior Software Developer

Chicago, IL · On-site

$56.25 - $74.25/hr

Designing and implementing high quality software solutions used for algorithmic trading, exchange ... Solid programming skills and strong understanding of general programming concepts such as OOP, data ...

Anson McCade

Index Trader

Chicago, IL · On-site

Their team spans trading, engineering, and business operations, working together to build and ... algorithmic trading models from ideation through production deployment • Analyze market ...

Sunrise Futures, LLC

Senior Software Developer

Chicago, IL · On-site

$56.25 - $74.25/hr

Designing and implementing high quality software solutions used for algorithmic trading, exchange ... Solid programming skills and strong understanding of general programming concepts such as OOP, data ...

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Algorithmic Trading Developer information

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How much do algorithmic trading developer jobs pay per hour?

As of Jul 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 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 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.

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 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.
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Algorithmic Trading Developer jobs near you
Infographic showing various Algorithmic Trading Developer job openings in the United States as of July 2026, with employment types broken down into 33% Internship, 33% Full Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,843 per year, or $60 per hour.
GBM - Public, ETF Trading, Vice President - New York

GBM - Public, ETF Trading, Vice President - New York

Goldman Sachs, Inc.

New York, NY

Other

Posted 2 days ago

Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 149 rated banks

Job description

About the Role: We are seeking a highly skilled and motivated Systematic ETF Trader to join our dynamic trading team. The ideal candidate will be responsible for developing, testing, and executing systematic trading strategies focused on Exchange-Traded Funds (ETFs) across various asset classes. This is an excellent opportunity for a quantitative professional with a passion for financial markets and algorithmic trading.

Key Responsibilities:

  • Strategy Development: Design, develop, and implement algorithmic trading strategies that trade ETFs across global markets.
  • Data Analysis & Modeling: Utilize historical and real-time market data to identify inefficiencies and create predictive models that inform trading decisions.
  • Backtesting & Optimization: Conduct rigorous backtesting of trading strategies to ensure robustness and optimize for risk-adjusted returns.
  • Execution: Manage and execute trades through automated systems, ensuring minimal slippage, transaction costs, and market impact.
  • Risk Management: Monitor and manage trading risks, including market risk, liquidity risk, and operational risk, ensuring compliance with risk guidelines and limits.
  • Performance Analysis: Track and analyze the performance of strategies, identify areas for improvement, and implement iterative changes to enhance profitability and performance.
  • Collaboration: Work closely with quantitative researchers, data scientists, and other traders to refine strategies and improve performance.
  • Technology Integration: Leverage advanced tools and platforms for data analysis, strategy development, and execution (e.g., Python, SQL, MATLAB, etc.).

Requirements:

  • Education: Bachelor's degree in Finance, Economics, Engineering, Computer Science, Mathematics, or a related field. 
  • Experience: Proven experience (2+ years) as a quantitative trader, systematic trader, or similar role, with a strong focus on ETFs and algorithmic trading.
  • Technical Skills: Proficiency in programming languages such as Python, C++, Java, or similar, along with experience in financial modeling, data analysis, and backtesting.
  • Quantitative Skills: Strong background in statistics, econometrics, or machine learning techniques, with the ability to apply them to trading strategies.
  • Market Knowledge: Deep understanding of financial markets, especially ETFs, including structure, liquidity, and market microstructure.
  • Problem-Solving: Strong analytical and problem-solving skills with a keen ability to think critically and adapt to evolving market conditions.
  • Communication: Strong verbal and written communication skills for collaborating across teams and presenting findings to stakeholders.

The expected base salary for this New York, New York, United States-based position is $150,000-$300,000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

What Goldman Sachs employees say

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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