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$39.5K

$96.8K

$269.5K

How much do temporary algorithmic trader jobs pay per year?

As of Sep 12, 2026, the average yearly pay for temporary 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.

What is a temporary algorithmic trader?

Temporary Algorithmic Traders are professionals hired on a short-term basis to develop, implement, or manage algorithmic trading strategies for financial markets. Their work involves using mathematical models and computer programs to automate trading decisions, aiming to optimize profits and manage risk. These traders may be brought in for specific projects, to cover staff shortages, or to contribute expertise in algorithm development and data analysis. Temporary positions can range from a few weeks to several months, depending on the organization’s needs. They often work for banks, hedge funds, or proprietary trading firms.

How does a temporary algorithmic trader typically collaborate with permanent team members and adapt to established trading strategies?

As a temporary algorithmic trader, you’ll often work closely with permanent trading teams to quickly understand and integrate into their existing strategies and workflows. Effective communication is essential, as you may need to adapt your coding style, share insights, and receive feedback from more experienced colleagues. Temporary traders are expected to ramp up swiftly, contribute to ongoing projects, and ensure their algorithms align with risk management protocols and performance goals. This collaborative environment enables you to learn from seasoned professionals while making meaningful contributions, even within a limited timeframe.

What are the key skills and qualifications needed to thrive as a temporary algorithmic trader, and why are they important?

To thrive as a Temporary Algorithmic Trader, you need strong quantitative analysis skills, proficiency in programming (such as Python or C++), and a solid understanding of financial markets, often backed by a degree in finance, mathematics, or computer science. Familiarity with trading platforms, statistical analysis tools, and backtesting software like MATLAB or R is typically required. Critical thinking, attention to detail, and the ability to work under pressure are important soft skills that help traders excel in fast-moving environments. These skills and qualities are crucial for developing, implementing, and refining trading strategies that can adapt to dynamic market conditions.

What is the difference between Temporary Algorithmic Trader vs Quantitative Analyst?

AspectTemporary Algorithmic TraderQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skills; trading certificationsDegree in finance, mathematics, or statistics; programming skills; advanced degrees often preferred
Work EnvironmentTrading floors, financial firms, hedge funds; fast-paced, deadline-drivenResearch labs, financial institutions; analytical, data-driven
Employer & Industry UsageFinancial trading firms, hedge funds, investment banksAsset management firms, investment banks, financial consultancies

While both roles require strong quantitative skills and programming knowledge, a Temporary Algorithmic Trader focuses on executing trading strategies in real-time markets, often in a fast-paced environment. A Quantitative Analyst typically develops models and conducts research to inform trading decisions, often working in a more analytical setting. The temporary nature of the Algorithmic Trader role emphasizes short-term trading activities, whereas Quantitative Analysts may have ongoing research responsibilities.

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Temporary Algorithmic Trader jobs near you
Infographic showing various Temporary Algorithmic Trader job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $96,774 per year, or $46.5 per hour.

Quantitative Strategist, Global Banking & Markets, Global Currency and Emerging Markets (GCEM)

New York, NY

Goldman Sachs, Inc.
Finance and Insurance • 10K+ employees
Learn more about Goldman Sachs, Inc.external

Full-time, Part-time

Re-posted 17 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

What We Do

At Goldman Sachs, quantitative strategists are the cutting edge of our businesses, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and sales, strats' invaluable quantitative perspectives on complex financial and technical challenges power our business decisions.

Within our Global Banking & Markets business, our Global Currency and Emerging Markets (GCEM) team works closely with our trading desks to develop quantitative and technological techniques to solve complex business problems. Desk strats sit on trading floors and provide value for both internal & external clients through cutting-edge models, predictive analytics, and high-quality trading tools. We are a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor.

Who We Look For

We're looking for candidates with strong quantitative, programming, and communication skills with a keen interest applying those skills in the financial markets. As a desk strat on our GCEM trading desk, you'll have the opportunity to apply your quantitative acumen towards solving complex problems and creating innovative solutions for our clients. Simultaneously, you'll be operating in the center of financial markets with plenty opportunity to learn.

Your work will directly impact the firm's bottom line. Whether it's developing automatic pricing algorithms to help our trading desks make better decisions or building a pricing model product that will help clients hedge risk, you'll create an immediate commercial impact for the firm.

Given our GCEM desk is a global cross-asset desk, you'll also gain exposure to a wide range of asset classes & risk factors (Credit/FX/Rates, vanillas/options/structured exotics). This role will be an invaluable opportunity to sharpen your skills in different domains and build a deep & broad foundation of product knowledge.

Responsibilities

Within this role, you'll create value by providing effective & efficient solutions to our GCEM trading desk, in one or multiple asset classes including Rates, FX, and Credit, from One Delta to Exotics products. 

This includes but not limited to:

  • Conducting research and deploying machine learning models for trading.
  • Developing and optimizing market making algorithms and systems.
  • Pricing and hedging analysis for complex transactions.
  • Developing and maintaining cutting-edge derivative pricing models.

Qualifications

  • Advanced degree, preferably PhD, in quantitative field such Mathematics, Computer Science, Machine Learning, Physics, etc.
  • Deep knowledge of cutting-edge machine learning models.
  • Self-driven, quick learner, can-do attitude, results-oriented.
  • Excellent written and verbal communication skills.
  • Strong problem solving and analytical skills.
  • Strong coding skills.
  • 1-5 years of relevant experience is preferred.

Salary Range
The expected base salary for this New York, New York, United States-based position is $150000-$225000. 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.

What Goldman Sachs employees say

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Benefits

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Workplace

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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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