ZipRecruiter

Log In

2

Part Time Algorithmic Trading Quant Jobs (NOW HIRING)

Web3 Talent Collective

Generalist Web3 Engineer

$70K - $400K/yr

We are looking for talents across the board, from part-time web2 engineers transitioning to web3 to ... and writing algorithms to optimize trade execution * Fool-proof security across the stack ...

ExxonMobil

Crude and Products V&S

Spring, TX

... quant team supporting Crude and Products trading, asset optimization and structured transactions ... part-time work * Comprehensive medical, dental, and vision plans * Culture of Health: Programs and ...

ExxonMobil

Crude and Products V&S

Spring, TX · On-site

... quant team supporting Crude and Products trading, asset optimization and structured transactions ... part-time work * Comprehensive medical, dental, and vision plans * Culture of Health: Programs and ...

next page

Showing results 1-20

People also search for

All JobsPart Time Algorithmic Trading Quant Jobs

Part Time Algorithmic Trading Quant information

See salary details

$52.5K

$119.2K

$196.5K

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

As of Jun 4, 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 are the key skills and qualifications needed to thrive as a Part Time Algorithmic Trading Quant, and why are they important?

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 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 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.

More about Part Time Algorithmic Trading Quant jobs
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 job categories do people searching Part Time Algorithmic Trading Quant jobs look for? The top searched job categories for Part Time Algorithmic Trading Quant jobs are:
Part Time Algorithmic Trading Quant jobs near you
Asset & Wealth Management - Quantitative Strategist, MAS - New York, VP

Asset & Wealth Management - Quantitative Strategist, MAS - New York, VP

Goldman Sachs, Inc.

New York, NY • On-site

$132.90K - $171.80K/yr

Full-time, Part-time

Posted 17 hours 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
What We Do
The Multi-Asset Solutions Group (MAS) within Goldman Sachs Asset & Wealth Management delivers customized portfolio solutions for institutional clients, investing across asset classes, regions, and the risk spectrum in both public and private markets. As a front-office quantitative team, MAS Analytics Strats designs and builds tools and systems that support the day-to-day management of approximately $380 billion in client assets. We generate analytics and insights to inform portfolio construction and risk management, and we enhance client experience through our class-leading Investment Dashboard, a modern digital portal.
Who We Look For
We seek an experienced quantitative developer to lead a core initiative of delivering next-generation portfolio management tools and analytics that will scale a fast-growing business. You will architect and ship production systems, translate investment and risk needs into robust analytics, and partner closely with portfolio managers and fellow strats to turn ideas into durable, client-facing outcomes. The ideal candidate is intellectually curious, self-driven, and solutions-oriented-an independent problem solver and a collaborative teammate-who consistently goes above and beyond in achieving excellence.
Requirements
  • Education: Undergraduate or graduate degree in a quantitative discipline (e.g., computer science, mathematics, engineering, statistics, physics).

  • Quantitative toolkit: Working knowledge of statistics, linear algebra, numerical methods.

  • Markets and instruments: Solid understanding of financial markets; hands-on experience across multiple asset classes and instruments strongly preferred (e.g., equities, rates, credit, FX, commodities, derivatives).

  • Industry experience: 5+ years in financial services; buy-side exposure is a strong plus.

  • Software engineering: Proven experience in building and operating production systems; strong command of at least one modern programming language (Python, Java/JavaScript, C++, etc), core data structures, algorithms, testing, and CI/CD.

  • Open source and tooling: Prior use of open-source libraries and frameworks is a plus; willingness to learn new technologies and a demonstrated passion for using technology to solve real-world investment problems are required.

  • Collaboration and communication: Ability to translate investment and risk requirements into technical specifications; clear written and verbal communication with portfolio managers, engineers, and stakeholders.

  • Leadership: Demonstrated leadership in owning roadmaps, mentoring teammates, or managing small teams; managerial experience is highly valued.

  • AI-enabled development: Hands-on experience with AI-assisted coding tools (e.g., code copilots, test-generation, refactoring assistants); A strong desire to learn and responsibly adopt agentic AI tools and workflows to accelerate development lifecycle.

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 $130000-$250000. 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

View All Goldman Sachs Jobs

Apply