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Temporary Algorithmic Trader Jobs (NOW HIRING)

Initio Capital

Quantitative Analyst (Quant)

New York, NY · On-site +1

$145K - $185K/yr

Job Summary Quantitative Analyst (Quant) Initio Capital Full-time, Part-time, Contract, Temporary ... Interest in financial markets , trading, and algorithmic strategy development. About the Career ...

Actalent

Electrical Engineer

Liverpool, NY

$35 - $50/hr

... trade studies, perform dynamic analyses, allocate and trace requirements, develop algorithms ... If eligible, the benefits available for this temporary role may include the following: * Medical ...

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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.

GBM Public - Systematic Macro Quant Researcher - New York - GBM Public

New York, NY • On-site

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

Full-time, Part-time

Re-posted 29 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

FICC Quantitative Researcher, Associate / VP, New York

We are a team of FICC Quantitative Researchers who work to transform the Fixed Income, Currencies, and Commodities (FICC) business through quantitative trading, automating the key decisions taken every day. Our team has a wide remit across product types such as Interest Rates (IR), Foreign Exchange (FX), Credit, and Commodities, with strategies including market making, automatic quoting, central risk books, systematic trading, and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models, including advanced machine learning and AI, to improve business performance while working closely with traders and salespeople on the trading floor to bring value to our clients and the firm.

Role Responsibilities:

  • Take a leading role on our Quantitative Trading & Market Making desk, building market making and quoting strategies across FICC products.
  • Use advanced statistical analysis and quantitative techniques such as neural networks, machine learning, and factor models to build models that drive systematic alpha strategies which make real-time trading and risk management decisions.
  • Implement frameworks to manage risk centrally and build optimal portfolios across FICC asset classes.
  • Build model calibration frameworks for our advanced statistical and AI models, operating at scale with large quantities of time series data, ensuring accuracy and compliance.
  • Drive our market making strategy development using a range of technologies, and collaborate closely with Quant Developers and core engineering teams to enhance core analytics infrastructure and trading tools.
  • Develop and enhance critical pricing, trading, and risk tools, and create new frameworks leveraging trade and franchise data to optimize and systematize market making and hedging strategies.

Basic Qualifications:

  • Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science.
  • Strong programming skills in an object-oriented or functional paradigm such as C++, Java, or Python.
  • Self-starter with strong self-management skills, ability to manage multiple priorities and deliver in a high-pressure environment.

Excellent written and verbal communication skills, with the ability to articulate complex quantitative concepts to both technical and non-technical 

 
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

Salary Range 
The expected base salary for this New York, New York, United States-based position is $150000-$300000. 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.

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Goldman Sachs logo

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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