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Algorithmic Trader Jobs (NOW HIRING)

Executing algorithmic trading strategies in accordance with the trading desk's objectives * Monitoring and reconciling trading positions consistently throughout the shift * Performing start of day ...

Executing algorithmic trading strategies in accordance with the trading desk's objectives * Monitoring and reconciling trading positions consistently throughout the shift * Performing start of day ...

Executing algorithmic trading strategies in accordance with the trading desk's objectives * Monitoring and reconciling trading positions consistently throughout the shift * Performing start of day ...

Communicate trading strategies encompassing Liquidnet's core offering. * Perform real-time ... Understand Liquidnet's algorithmic offering, consult with member community on behaviors and ...

Our Weekend Traders are risk managers that help to keep our trading systems and strategies running smoothly, providing critical operational support and maintaining our high-performance algorithmic ...

Our Weekend Traders are risk managers that help to keep our trading systems and strategies running smoothly, providing critical operational support and maintaining our high-performance algorithmic ...

Utilize trading algorithms on a daily basis to hedge derivatives and execute client transactions. The trader will also play a key role in monitoring and enhancing these algorithms to optimize ...

Algorithmic Trading and Market Microstructure You'll learn the end-to-end process of developing an algorithmic trading strategy. You'll analyze market data to develop a tradable fair value and ...

Algorithmic Trading and Market Microstructure You'll learn the end-to-end process of developing an algorithmic trading strategy. You'll analyze market data to develop a tradable fair value and ...

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Algorithmic Trader information

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$39.5K

$96.8K

$269.5K

How much do algorithmic trader jobs pay per year?

As of Jul 23, 2026, the average yearly pay for algorithmic trader in the United States is $96,774.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $105,500.00 per year, depending on experience, location, and employer.

How much do algorithmic traders make?

Algorithmic traders typically earn between $80,000 and $200,000 annually, with experienced professionals and those working at hedge funds or proprietary trading firms earning higher salaries and bonuses. Compensation often depends on skill level, trading performance, and the firm's size, with many traders also receiving performance-based incentives.

What are the key skills and qualifications needed to thrive as an Algorithmic Trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in mathematics, statistics, programming (often Python, C++, or R), and a solid understanding of financial markets, usually supported by a relevant degree. Familiarity with trading platforms, backtesting frameworks, and data analysis tools, plus certifications like CFA or FRM, are commonly required. Strong analytical thinking, attention to detail, and the ability to work under pressure are vital soft skills for success in this fast-paced environment. These skills enable traders to develop effective, automated strategies that capitalize on market opportunities while managing risk efficiently.

What are some typical challenges faced by algorithmic traders in their day-to-day work?

Algorithmic traders often encounter challenges such as maintaining and updating trading algorithms to adapt to rapidly changing market conditions, ensuring low-latency execution, and managing the risks associated with automated trading. Collaborating closely with quantitative analysts, software engineers, and risk managers is essential to refine strategies and troubleshoot technical issues. Staying compliant with regulatory requirements and monitoring for unexpected market behaviors or system errors are also important aspects of the role.

What is an algorithmic trader?

An algorithmic trader is a financial professional who uses computer algorithms to automate trading strategies in financial markets. These traders develop, test, and implement mathematical models that analyze market data and execute trades at speeds and frequencies impossible for humans. Algorithmic traders work in environments such as investment banks, hedge funds, and proprietary trading firms, and their goal is often to maximize returns while managing risk. They typically need strong skills in programming, quantitative analysis, and finance.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills and quantitative analysis. It can be financially rewarding and offers opportunities in finance firms and hedge funds, but it requires strong technical knowledge, risk management skills, and continuous learning. Success depends on market conditions, technical proficiency, and the ability to adapt strategies over time.

Who is the richest Algo trader in the world?

The richest algorithmic trader is often considered to be Jim Simons, founder of Renaissance Technologies, a highly successful quantitative hedge fund. His firm employs advanced mathematical models and computer algorithms to generate trading strategies, making him one of the wealthiest individuals in the trading industry. Many top algo traders leverage skills in mathematics, programming, and data analysis to succeed in this field.

Is algo trading really profitable?

Algorithmic traders use automated systems and algorithms to execute trades based on predefined criteria. While successful algo trading can be profitable, it requires advanced programming skills, market knowledge, and risk management; profitability varies depending on strategy, market conditions, and execution quality.

What is the difference between Algorithmic Trader vs Quantitative Analyst?

AspectAlgorithmic TraderQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedFinancial institutions, research firms; analytical and research-focused
Employer & Industry UsageUsed primarily in trading and investment firmsUsed in asset management, hedge funds, and investment banks

While both roles require strong quantitative skills and programming knowledge, Algorithmic Traders focus on developing and executing trading algorithms in real-time markets, whereas Quantitative Analysts primarily develop models and strategies for investment decision-making. The roles often overlap but differ mainly in their focus on trading execution versus model development.

More about Algorithmic Trader jobs
What cities are hiring for Algorithmic Trader jobs? Cities with the most Algorithmic Trader job openings:
What are the most commonly searched types of Algorithmic Trader jobs? The most popular types of Algorithmic Trader jobs are:
Who are the top companies hiring for Algorithmic Trader jobs? The top employers for Algorithmic Trader jobs are:
What states have the most Algorithmic Trader jobs? States with the most job openings for Algorithmic Trader jobs include:
Infographic showing various Algorithmic Trader job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $96,774 per year, or $46.5 per hour.
GBM - Public, ETF Trading, Vice President - New York

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

Goldman Sachs

New York, NY

Other

Posted 14 days ago


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

40th of 150 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.


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About Goldman Sachs

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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