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Part Time Algorithmic Trading Quant Jobs (NOW HIRING)

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Startup revolutionizing quantitative trading research is searching for a part-time inside sales person (sales experience not needed) for incoming institutional sales and questions. Our cloud research ...

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Part Time Algorithmic Trading Quant information

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$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.

Quantitative Developer, Global Banking & Markets, Systematic Market Marking

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 11 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, 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.

The Systematic Rates Trading desk sits at the intersection of quantitative research, technology, and market-making execution. The team is responsible for overseeing the systematic trading, pricing, and risk management frameworks for global Rates products (including government bonds, interest rate swaps, and futures). We design, build, and manage real-time pricing engines, algorithmic hedging systems, and execution platforms that operate at scale in highly liquid and volatile markets.

Who We Look For

Quantitative developers are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and salespeople, your invaluable quantitative perspectives on complex financial and technical challenges will power our business decisions.

We are seeking an exceptional software engineer and quantitative thinker with a "builder" mindset. You should thrive in a fast-paced, collaborative trading floor environment where you are expected to work independently, think critically, and take complete ownership of your projects.

Our ideal candidate will have strong a strong technical background and problem solving skills, drive to investigate and learn new ideas, and the judgement to deliver quick yet robust solutions.

Responsibilities

  • Design, build, and maintain high-performance, yet nimble and adaptive trading strategies for internal and external clients.
  • Monitor trading performance for strategies daily and build algo customization based on clients' needs.
  • Utilize deep understanding of market structure, regulations, exchange service offerings and implement changes to these on an on-going basis.
  • Communicate with traders, sales, clients, and compliance officers about new feature requests, explanation of existing features, etc.

Basic Qualifications

  • Advanced degree in relevant technical field such as Computer Science or Financial Technology.
  • 5+ years of relevant work experience.
  • Advanced proficiency in C++.
  • Experience designing and implementing algorithms for US trading.
  • Experience in data-driven trading strategy performance analysis and optimizations.
  • Strong communication skills and the ability to work as part of a team.

Preferred Qualifications

  • Prior experience working as a Quantitative Developer or Software Engineer on a systematic trading desk, market-making team, or high-frequency trading (HFT) firm.
  • Strong understanding of Rates products (Treasuries, Swaps, Futures), yield curve modeling, and fixed-income analytics.
  • Experience with building back testing for trading strategies.
  • Experience with low latency trading strategy development.
  • Experience supporting clients directly.

Salary Range 
The expected base salary for this New York, New York, United States-based position is $150,000-$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

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