1

Temporary Algorithmic Trader Jobs (NOW HIRING)

Electrical Engineer

Liverpool, NY · On-site

$35 - $38.50/hr

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

Electrical Engineer

Liverpool, NY · On-site

$35 - $38.50/hr

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

Senior Java Software Engineer

Ann Arbor, MI · On-site

$38.09 - $42.33/hr

Temporary Salary: $38.09-42.33 Hourly W2 Start Date: Aug 10, 2026 Aquent is partnering with a ... Strong understanding of data structures, algorithms, and design patterns (GoF). * Experience with ...

New

Algorithm Development * Signal Processing and Waveform Design * Electronic Protection Methods ... TEMP) * Ability to interact with customers to define requirements, solutions, trades, costs ...

next page

Showing results 1-20

Temporary Algorithmic Trader information

See salary details

$39.5K

$96.8K

$269.5K

How much do temporary algorithmic trader jobs pay per year?

As of Jul 11, 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 35% Locum Tenens, 1% As Needed, 56% Full Time, 7% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $96,774 per year, or $46.5 per hour.
GBM, Public, ETF One Delta Strat - Quantitative Engineering (NYC)

GBM, Public, ETF One Delta Strat - Quantitative Engineering (NYC)

Goldman Sachs, Inc.

New York, NY • On-site

Full-time, Part-time

Re-posted 11 days ago


Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 149 rated banks


Job description


ETF One Delta Strats sit within the ETF Trading Desk in the One Delta Equity group in NYC. The team oversees the ETF desks' systematic trading, data, and technology for the US ETF Trading Desk, managing pricing frameworks, daily fund reconciliation, and systematic hedging efforts across equity ETFs.
Within this group, this specific seat is designed for a Developer/Engineer-heavy Strat. You will be responsible for handling the operational aspects of the algo and ensuring the stack is robust, scalable, and high-performing. This is an opportunity to sit in a revenue-generating, market-facing seat where your primary impact is delivered through sophisticated code development and systems optimization.
Responsibilities
  • Operational Engineering: Proactively identify and resolve technical bottlenecks in the trading lifecycle; build automated solutions to enhance desk efficiency and system reliability.
  • Real-time Support: Provide expert-level technical troubleshooting for production trading systems, ensuring 24/7 high availability and performance in volatile market conditions.
  • System Architecture & Optimization: Design, build, and maintain the high-performance tech and data stack powering our systematic block market-making business.
  • Algorithmic Implementation: Translate complex quantitative pricing models and business logic into robust, production-grade code for real-time pricing and risk management.
  • Java-Slang Integration (JSI): Develop and optimize the JSI layer to ensure seamless, low-latency communication between our Java-based trading infrastructure and our proprietary Slang environment.

Who We Look For
We are seeking a Software Engineer with a passion for systems programming and a "builder" mindset. You should thrive in environments where code quality directly impacts P&L and where technical excellence is the primary driver of business success.
Basic Qualifications
  • Education: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field. A strong foundation in CS fundamentals (data structures, algorithms, and systems design) is essential.
  • Core Languages: Expert-level proficiency in Java and Python. You should be comfortable writing clean, scalable, and testable code.
  • Systems Integration: Experience or strong interest in working with proprietary languages and cross-language integration (specifically JSI).
  • Engineering Best Practices: Deep understanding of software engineering lifecycles, including CI/CD, version control (Git), and performance profiling.
  • Problem Solving: Exceptional debugging skills and the ability to navigate complex, distributed systems under time-sensitive conditions.

Preferred Qualifications
  • Industry Experience: Prior experience in a systematic trading group, HFT firm, "Strat" or Engineer team at a major investment bank.
  • Data Engineering: Experience building and maintaining large-scale ETL processes and time-series data pipelines.
  • Domain Knowledge: Familiarity with ETF market microstructure, delta-one products, or systematic hedging strategies is a significant plus but not a substitute for strong engineering skills.
  • Proprietary Tech: Previous experience with Slang or similar proprietary financial languages (e.g., Athena, Quartz).

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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