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Part Time Quant Trading Jobs (NOW HIRING)

As one of the world's largest publicly traded energy and chemical companies, we are powered by a ... part-time work * Comprehensive medical, dental, and vision plans * Culture of Health: Programs and ...

As one of the world's largest publicly traded energy and chemical companies, we are powered by a ... part-time work * Comprehensive medical, dental, and vision plans * Culture of Health: Programs and ...

... quantitative trading firm with deep partnerships to asset management firms globally. Over the past ... We are looking for a part-time Software Engineer who will assist us with the design, development ...

... quantitative trading firm with deep partnerships to asset management firms globally. Over the past ... We are looking for a part-time Software Engineer who will assist us with the design, development ...

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Part Time Quant Trading information

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$98K

$169.7K

$259.5K

How much do part time quant trading jobs pay per year?

As of Jun 8, 2026, the average yearly pay for part time quant trading in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is part time quant trading?

Part time quant trading refers to using quantitative methods, such as statistical analysis and mathematical models, to trade financial securities while working fewer hours than a full-time position. Part-time quant traders often use algorithms and data-driven strategies to make trading decisions, sometimes in addition to other work or academic commitments. This role can be performed remotely or on-site and may involve developing and testing trading models, analyzing market data, and executing trades. It is suited for individuals with strong analytical and programming skills who are looking to gain experience or supplement their income.

What are typical responsibilities and expectations for someone in a part-time quant trading position?

In a part-time quant trading role, you'll typically be tasked with analyzing large datasets, developing and backtesting trading algorithms, and monitoring the performance of existing trading strategies. You'll often work closely with full-time quantitative researchers and traders, providing support on specific projects or focusing on particular asset classes. Since the role is part-time, efficient time management and clear communication are essential, as you'll need to coordinate your contributions with the broader team and ensure your work integrates smoothly with ongoing initiatives. This position offers valuable exposure to real-world trading environments and the opportunity to enhance your technical and analytical skills.

What are the key skills and qualifications needed to thrive as a Part Time Quant Trader, and why are they important?

To thrive as a Part Time Quant Trader, you need strong quantitative skills, proficiency in programming (especially Python or R), and a solid understanding of financial markets, typically supported by a degree in mathematics, finance, or a related field. Familiarity with trading platforms, statistical analysis tools, and data visualization systems is essential, as are certifications like CFA or FRM for added credibility. Analytical thinking, attention to detail, and the ability to manage risk and work independently are standout soft skills for this role. These skills ensure effective strategy development, accurate data-driven decisions, and successful performance in the dynamic and fast-paced trading environment.
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FICC-Strats - CRB - New York - GBM Public

FICC-Strats - CRB - New York - GBM Public

Goldman Sachs, Inc.

New York, NY • On-site

$55 - $75.75/hr

Full-time, Part-time

Posted 23 days ago


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks


Job description

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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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