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Temporary Algorithmic Trader Jobs (NOW HIRING)

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Temporary Algorithmic Trader information

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$39.5K

$96.8K

$269.5K

How much do temporary algorithmic trader jobs pay per year?

As of Aug 1, 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.

Is algo trading 100% profitable?

Algorithmic trading as a profession involves developing and implementing trading strategies that can be profitable, but it is not guaranteed to be 100% profitable. Market conditions, strategy quality, and risk management significantly influence outcomes, and losses are possible. Successful algo traders continuously refine their models and use tools like backtesting and real-time monitoring to improve performance.

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.

Can ChatGPT write a trading algorithm?

A Temporary Algorithmic Trader can use ChatGPT to generate code snippets or ideas for trading algorithms, but it cannot independently develop fully functional, optimized trading systems. Developing effective algorithms requires expertise in programming, financial markets, and backtesting tools. ChatGPT can assist with coding guidance but should be complemented by thorough testing and domain knowledge.

What are Temporary Algorithmic Traders?

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 much does an algorithmic trader make?

Algorithmic traders typically earn between $70,000 and $150,000 annually, with experienced professionals and those working at hedge funds or proprietary trading firms earning higher salaries and bonuses. Compensation often depends on skills in programming, quantitative analysis, and trading strategies, as well as performance and firm size.

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.

Is algorithmic trading illegal?

Algorithmic trading is legal in most jurisdictions when conducted within regulatory frameworks that require proper registration, compliance, and risk management. Traders and firms using algorithms must adhere to rules set by financial authorities to prevent market manipulation and ensure fair trading practices.
More about Temporary Algorithmic Trader jobs
What cities are hiring for Temporary Algorithmic Trader jobs? Cities with the most Temporary Algorithmic Trader job openings:
What are the most commonly searched types of Algorithmic Trader jobs? The most popular types of Algorithmic Trader jobs are:
What states have the most Temporary Algorithmic Trader jobs? States with the most job openings for Temporary Algorithmic Trader jobs include:
Infographic showing various Temporary Algorithmic Trader job openings in the United States as of July 2026, with employment types broken down into 9% Locum Tenens, 16% As Needed, 57% Full Time, 9% Part Time, 1% Contract, and 8% Nights. 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.

Systems Engineer, Global Banking & Markets, FIX Connectivity

Goldman Sachs, Inc.

New York, NY

Other

Posted yesterday

New


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

48th of 170 rated banks


Job description

At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Drive new businesses, redefine finance using AI, and seize opportunities at market speed.

In an era defined by AI, Engineering isn't just central - it's the driving force behind our business. Our dynamic environment demands innovative strategic thinking and immediate, impactful solutions. Ready to push the limits of digital possibility? Begin your journey here.

The Role

The FIX Connectivity team is a high-impact, client-facing engineering group responsible for the technical enablement of Electronic Trading. This role sits at the intersection of Business, Technology, and External Clients, focusing on the end-to-end technical onboarding of clients to trade global markets via the FIX Protocol.

You will be responsible for the full lifecycle of client integration-from initial requirement gathering and network connectivity setup to certification testing and production go-live. Additionally, the role involves providing expert-level connectivity support across FIX platforms and managing client-specific customizations.

Key Responsibilities

  • Client Integration: Lead the technical onboarding process for a diverse range of clients (including Quant, Institutional, and Hedge Funds) across DMA, high-touch, program trading, and Algorithmic Trading platforms.
  • Technical Certification: Conduct FIX certification testing to ensure client systems adhere to firm-specific specifications and exchange requirements.
  • Connectivity Management: Coordinate the setup and troubleshooting of network paths, firewalls, VPNs, and dedicated lines.
  • Stakeholder Collaboration: Act as the primary technical point of contact for Sales, Trading Desks, and external vendor technology teams.
  • Support & Maintenance: Provide Level 2 support for client connectivity platform issues, performing deep-dive analysis of FIX engine system logs and network captures to resolve production hurdles. 
  • Engineering & Automation: Identify opportunities to enhance the onboarding experience by developing or improving internal tools, scripts, and automated testing frameworks.
  • Change Management: Manage the deployment of client-specific configurations and rules within a distributed, high-availability environment.

Basic Qualifications

  • FIX Expertise: Deep understanding of the FIX Protocol and electronic trading workflows (e.g., DMA, Algorithmic Trading, and IOIs).
  • Technical Proficiency: Strong experience in UNIX/Linux environments and proficiency in SQL and APIs for data analysis and troubleshooting.
  • Networking Knowledge: Solid understanding of network infrastructure, including TCP/IP, firewalls, and connectivity troubleshooting tools.
  • Communication: Exceptional verbal and written communication skills, with the ability to translate complex technical concepts for non-technical business stakeholders.
  • Problem Solving: Strong analytical skills with a "client-first" mentality and the ability to work effectively under pressure.
  • Project Management: Proven ability to manage multiple concurrent onboarding projects in a fast-paced, front-office environment.

Preferred Qualifications

  • Scripting & Programming: Experience in Python, Perl, or Shell scripting to automate manual tasks.
  • Market Knowledge: Familiarity with global equities markets, including market structure and regulatory requirements.
  • DevOps Tools: Experience with software version control systems (e.g., Git) and CI/CD pipelines.
  • Education: Bachelor's degree in Computer Science, Engineering, or a related technical field.

Salary Range 
The expected base salary for this New York, New York, United States-based position is $130,000-$250,000. 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