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Part Time Python Quant Jobs (NOW HIRING)

ExxonMobil

Quant V&S Gas and Power

Spring, TX · On-site

Advanced Python for pricing tools, optimization routines and scalable analytics. * Ability to ... part-time work * Comprehensive medical, dental, and vision plans * Culture of Health: Programs and ...

ExxonMobil

Quant V&S Gas and Power

Spring, TX

Advanced Python for pricing tools, optimization routines and scalable analytics. * Ability to ... part-time work * Comprehensive medical, dental, and vision plans * Culture of Health: Programs and ...

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

As of Jul 16, 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 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.

Is a PhD required to be a quant?

A PhD is not strictly required to be a quantitative analyst, but many firms prefer candidates with advanced degrees in fields like mathematics, physics, or computer science. Strong programming skills, especially in Python, and a solid understanding of financial models are typically more important for the role of a part-time Python quant.

What is the salary of Python quantitative developer?

The salary of a Python quantitative developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the complexity of the role. Senior positions or those in financial hubs may offer higher compensation, often including bonuses and benefits. Strong programming skills and knowledge of financial markets are essential for this role.

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 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.

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.

Does JP Morgan hire quants?

JP Morgan hires quantitative analysts and quantitative researchers, often referred to as quants, for roles in trading, risk management, and technology. These positions typically require strong programming skills in Python, statistical knowledge, and a background in finance or mathematics. The firm regularly recruits for part-time and full-time quant roles depending on business needs.

Is Python good for quant?

Python is widely used in quantitative finance roles, including for quantitative analysts and traders, due to its simplicity, extensive libraries (such as NumPy, pandas, and scikit-learn), and strong community support. It is suitable for data analysis, modeling, and algorithm development, making it a valuable skill for part-time Python quants. Proficiency in Python can enhance efficiency and effectiveness in quantitative tasks within finance environments.
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Part Time Python Quant jobs near you
Infographic showing various Part Time Python Quant job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 60% Full Time, 38% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
GBM Public - CRB FICC Quant Researcher - New York - GBM Public

GBM Public - CRB FICC Quant Researcher - New York - GBM Public

Goldman Sachs, Inc.

New York, NY • On-site

Full-time, Part-time

Posted 19 hours 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


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

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