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Part Time Python Quant Jobs (NOW HIRING)

ExxonMobil

Crude and Products V&S

Spring, TX

Collaborate with quant modelling/technology/data teams to ensure robust model deployment and FO ... Technical proficiency in SQL, Python, Excel, and Power BI for data analysis and visualization.

ExxonMobil

Crude and Products V&S

Spring, TX · On-site

Collaborate with quant modelling/technology/data teams to ensure robust model deployment and FO ... Technical proficiency in SQL, Python, Excel, and Power BI for data analysis and visualization.

iSpot

Manager, Client Data Science

Bellevue, WA · Remote

$136K - $168K/yr

... Python, or SQL scripts for effective data processing. ● Adapting existing tools and methods to ... Bachelor's degree in a quantitative or social science field, Master's/PhD preferred ● Coding ...

Squirl Financial

Software Engineer

Detroit, MI

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

As of Aug 6, 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.

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?

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.

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 August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Adjunct Associate Faculty, Mathematics for AI (On-Campus, Fall '26)

Columbia University

New York, NY • On-site

$2.0K - $3.0K/wk

Part-time

Re-posted 10 days ago

Job description

Company Description
Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.
Job Description
Seeking analytics professionalsto serve as a part-time Associate for a graduate level course on Mathematics for AI. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a couse section. Serving as an Associate is an outstanding way to gain exposure to graduate level teaching at Columbia University.
Responsibilities
  • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions.
  • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions.
  • Evaluate, grade student work and assessments as requested by the course Lecturer.
  • Monitor and address student concerns and inquiries.

Qualifications
Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting.
Requirements
  • Graduate degree in an area related to applied analytics, data science or another discipline which provided rigorous training in quantitative analytics
  • Proficiency with programming Python in a Jupyter notebook
  • 3+ years of professional experience in a related area

Preferred Skills & Experience
  • University teaching experience.

Additional Information
Salary range: $2,000 - $3,000 per semester long course
Please submit a resume inclusive of university teaching experience.
All your information will be kept confidential according to EEO guidelines.
Columbia University is an Equal Opportunity Employer / Disability / Veteran

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