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How much do part time python quant jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for part time python quant in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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

To thrive as a Part Time Python Quant, you need strong quantitative analysis skills, solid programming expertise in Python, and a background in mathematics, statistics, finance, or a related field. Familiarity with data analysis libraries (such as pandas, NumPy, and scikit-learn), financial modeling tools, and possibly experience with databases or cloud platforms is typically expected. Effective problem-solving, attention to detail, and strong communication skills help you interpret data insights and collaborate with team members. These competencies are crucial for developing robust quantitative models and delivering actionable financial insights in a flexible, part-time capacity.

How does a Part Time Python Quant typically collaborate with full-time quantitative analysts and traders?

As a Part Time Python Quant, you’ll often work alongside full-time quantitative analysts and traders by contributing code, analytics, or models that support trading strategies. Collaboration usually happens through version control platforms, regular team meetings, and direct communication with stakeholders about project requirements and results. You may be responsible for handling specific tasks such as data preprocessing, model prototyping, or performance monitoring, ensuring your work integrates smoothly with broader team efforts. Clear communication, adaptability, and proactive status updates are key to succeeding in this flexible, collaborative environment.

What is a Part Time Python Quant?

A Part Time Python Quant is a quantitative analyst who uses Python programming to develop models, analyze data, and support decision-making in finance or related industries on a part-time basis. These professionals often work with large datasets, implement algorithms, and create tools to evaluate trading strategies or manage risk. Working part-time allows for flexible arrangements, which can be ideal for students, freelancers, or those seeking work-life balance. Strong programming skills in Python, mathematical knowledge, and experience with financial concepts are typically required.

What is the difference between Part Time Python Quant vs Part Time Data Analyst?

AspectPart Time Python QuantPart Time Data Analyst
Required CredentialsDegree in Finance, Mathematics, or Computer Science; Python programming skillsDegree in Statistics, Business, or related field; proficiency in data tools
Work EnvironmentFinancial firms, hedge funds, trading firmsCorporate, consulting, or research organizations
Employer & Industry UsageUsed in quantitative trading, risk managementUsed in market research, business insights

Part Time Python Quants focus on developing quantitative models for trading and risk analysis using Python, often within financial institutions. Part Time Data Analysts interpret data to support business decisions, utilizing similar technical skills but in broader industries. While both roles require Python knowledge and analytical skills, their industry focus and application differ significantly.

More about Part Time Python Quant jobs
What are the most commonly searched types of Python Quant jobs? The most popular types of Python Quant jobs are:
What job categories do people searching Part Time Python Quant jobs look for? The top searched job categories for Part Time Python Quant jobs are:
Part Time Python Quant jobs near you
Infographic showing various Part Time Python Quant job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 73% Full Time, and 26% Part Time. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
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 7 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.

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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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