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Part Time Python Quant Jobs (NOW HIRING)

ECS

GIS Architect (part-time)

Arlington, VA · On-site

$73.29 - $76.17/hr

... as JavaScript, Python, and SQL to write and maintain scripts to manipulate data and automate ... quantitative, mathematical, or analytical component. * 7+ years of specialized experience ...

Mass General Brigham

Research Assistant I

Boston, MA · On-site

$21 - $29.01/hr

... a part-time Research Assistant to support an NIH-funded project investigating metabolomic ... Conduct statistical and multivariable analyses in R and/or Python, including: * Data preprocessing ...

Apple

Display Metrology Engineer

Cupertino, CA · On-site

Experience in optical instrumentation, data collection, and automation using MATLAB, Python, C/C ... Strong quantitative data & image analysis skills utilizing JMP, MATLAB, or similar tools.

Massgeneralbrigham

Research Assistant I

Boston, MA · Hybrid

$21 - $29.01/hr

... a part-time Research Assistant to support an NIH-funded project investigating metabolomic ... Conduct statistical and multivariable analyses inR and/or Python, including: * Data preprocessing ...

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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.
More about Part Time Python Quant jobs
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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 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.

Macroeconomic Modeling Specialist (EViews)

ESRhealthcare and EXEC STAFF RECRUITERS

Palo Alto, CA • Remote

$35 - $100/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Macroeconomic Modeling Specialist (EViews)

part time
remote
50 openings
$35 - $100/hr
Required Skills
Eviews
Macroeconomics
Job Description
Job Title: Macroeconomic Modeling Specialist (EViews)

Job Type: Contract

Location: Remote

Job Summary

Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis.

Key Responsibilities

Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews.
Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts.
Automate forecasting workflows for efficiency and scalability within the modeling process.
Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders.
Document modeling approaches and results with precise, concise written reports.
Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations.
Stay current with macroeconomic modeling best practices and EViews software updates.


Required Skills and Qualifications

Extensive hands-on experience with EViews, including scripting and automation functionalities.
Proven expertise in building, estimating, and validating time-series models—especially VAR, VECM, ARIMA, and cointegration models.
Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures.
Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication.
Demonstrated success in automating modeling and forecasting workflows.
Ability to extract economic meaning from statistical outputs and present findings insightfully.
Self-driven, detail-oriented, and adept at remote collaboration.


Preferred Qualifications

Advanced degree in Economics, Econometrics, Applied Statistics, or related field.
Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling.
Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).