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Part Time Algorithmic Trading Quant Jobs (NOW HIRING)

We are looking for talents across the board, from part-time web2 engineers transitioning to web3 to ... and writing algorithms to optimize trade execution * Fool-proof security across the stack ...

Perform other duties, as needed Qualifications: * 5+ years of experience in Quantitative Analysis ... Well versed in knowledge of creating algorithms, identifying patterns and insights from structured ...

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Part Time Algorithmic Trading Quant information

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$52.5K

$119.2K

$196.5K

How much do part time algorithmic trading quant jobs pay per year?

As of Sep 15, 2026, the average yearly pay for part time algorithmic trading quant in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What is a part time algorithmic trading quant?

A Part Time Algorithmic Trading Quant is a professional who develops, tests, and implements mathematical models and algorithms to make automated trading decisions, typically working fewer hours than a full-time quant. They use programming, statistical analysis, and financial market knowledge to create strategies that can profit from market movements. Part-time quants may work for hedge funds, proprietary trading firms, or as independent contractors, and their flexible schedule allows them to balance other commitments while contributing to the trading team's goals.

What are the key skills and qualifications needed to thrive as a part time algorithmic trading quant?

To thrive as a Part Time Algorithmic Trading Quant, you need strong quantitative analysis skills, proficiency in statistics and mathematics, and typically a background in finance, computer science, or a related field. Familiarity with programming languages like Python or C++, experience with trading platforms, and knowledge of machine learning libraries or financial databases are important technical qualifications. Attention to detail, problem-solving ability, and strong communication skills help you stand out in this role. These skills are crucial for developing, implementing, and optimizing trading strategies in fast-paced, data-driven environments where accuracy and adaptability are essential.

What are the typical challenges faced by part time algorithmic trading quants when balancing project deadlines with market hours?

Part-time algorithmic trading quants often face the challenge of synchronizing their limited working hours with the fast-paced and sometimes unpredictable nature of financial markets. Meeting project deadlines can be particularly demanding, as market opportunities and anomalies may arise outside of their scheduled work times. Effective time management, clear communication with the trading team, and automation of routine tasks are essential for success in this role. Collaborating closely with full-time colleagues and using version control systems can also help ensure smooth project handovers and maintain continuity.

What is the difference between Part Time Algorithmic Trading Quant vs Part Time Quantitative Analyst?

AspectPart Time Algorithmic Trading QuantPart Time Quantitative Analyst
CredentialsTypically requires degrees in Computer Science, Mathematics, or Engineering; programming skills essentialRequires degrees in Finance, Economics, Mathematics; strong analytical skills needed
Work EnvironmentPrimarily in trading firms or hedge funds, focused on developing trading algorithmsIn finance institutions, focusing on data analysis, model development, and risk assessment
Industry UsageCommonly employed in algorithmic trading firms and hedge fundsUsed across investment banks, asset management firms, and financial services

While both roles involve quantitative skills and finance knowledge, the Part Time Algorithmic Trading Quant specializes in developing and implementing trading algorithms, often requiring programming expertise. The Part Time Quantitative Analyst focuses more broadly on financial data analysis and model development without necessarily coding trading systems. Understanding these differences helps candidates target their job search effectively.

What cities are hiring for Part Time Algorithmic Trading Quant jobs?

Cities with the most Part Time Algorithmic Trading Quant job openings:

What are the most commonly searched types of Algorithmic Trading Quant jobs?

The most popular types of Algorithmic Trading Quant jobs are:

What states have the most Part Time Algorithmic Trading Quant jobs?

States with the most job openings for Part Time Algorithmic Trading Quant jobs include:

What are popular job titles related to Part Time Algorithmic Trading Quant jobs?

For Part Time Algorithmic Trading Quant jobs, the most frequently searched job titles are:

Infographic showing various Part Time Algorithmic Trading Quant job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 29% Full Time, 4% Part Time, and 64% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Trading Desk Strategist, Global Banking & Markets, Synthetic Products Group (SPG)

New York, NY • On-site

Goldman Sachs
Finance and Insurance • 10K+ employees

$132K - $171K/yr

Full-time, Part-time

Re-posted 5 days ago


Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz


Job description

Who We Are

Synthetic Products Franchise strats are working with the firm's management, trading, sales, finance and operation personnel, using their mathematical and scientific training to create financial products, develop highly efficient automated solutions, advise clients on transactions, price and systematically manage risk and identify market opportunities. 

The team's objectives are to expand GS Equity Swaps business, help attracting new clients and grow revenue. We do this by building next generation of automated systems that provide best-in-class client experience.

What We Do

Our quantitative strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with bankers, traders and portfolio managers across the firm, their invaluable quantitative perspectives on complex financial and technical challenges power our business decisions.

As a member of our team, you will use your advanced training in mathematics, programming and logical thinking to construct quantitative models that drive our success in global financial markets. Your talents for research, analysis and aptitude for innovation will define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.

Whatever your background, you will bring a fresh perspective and unique skillset to our business. In return, you will be trained by our experts across the firm to navigate the complexities of the financial markets and state-of-the-art methods in quantitative finance.

An ordinary day is anything but. You may work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. Whichever your area of contribution, your ideas will have measurable effect on our business and for our clients.

How You Will Fulfill Your Potential  

  • Expanding desk's product offering by developing models for new client trades.
  • Enhancing operational scale and reducing desk cost via process automation.
  • Analysis and implementation of trading strategies for the desk.
  • Development and maintenance of trading systems for the desk.
  • Calculation and attribution of the desk's profit and loss.
  • Calculation of real-time and daily risk.

Who We Look For

  • PhD or Masters in applicable field such as Computer Science, Mathematics, Physics, Engineering, Computational Finance, Quantitative Finance.
  • Strong programming skills and experience with an object oriented programming language (such as C++, Python, Java).
  • Strong analytical and problem solving skills using math, statistics, and programming.
  • 1 - 5 years of work experience is preferable.
  • Prior experience in Finance industry is preferable.
  • Work experience in data analysis is preferable.
  • Basic fixed income & bond mathematics knowledge is preferable.
  • Experience in development of models for bespoke financial products is preferable.

Salary Range 
The expected base salary for this New York, New York, United States-based position is $150,000-$225,000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits 
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.

ABOUT GOLDMAN SACHS

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. Learn more about our culture, benefits, and people at GS.com/careers. 

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

The Goldman Sachs Group, Inc., 2026. All rights reserved.


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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