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Part Time Quantitative Developer Jobs (NOW HIRING)

... 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 ...

Research Scholar

New York, NY · On-site

$27.77/hr

Description PART TIME RESEARCH SCHOLAR New York University Tandon School of Engineering Quantum ... a leader in quantitative finance and applied mathematics education and research, offering ...

Telework Type: Part-Time Telework * Work Location: Houston, TX Extraordinary teams building ... Review and validate third-party studies including Fire and Explosion Analysis, Quantitative Risk ...

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Part Time Quantitative Developer information

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$98K

$169.7K

$259.5K

How much do part time quantitative developer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for part time quantitative developer in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Quantitative Developer vs Part Time Quantitative Analyst?

AspectPart Time Quantitative DeveloperPart Time Quantitative Analyst
Primary FocusDeveloping and implementing trading algorithms and softwareAnalyzing financial data to inform trading strategies
Required SkillsProgramming, software development, quantitative modelingData analysis, statistical modeling, financial analysis
Work EnvironmentCollaborates with traders and developers in finance firmsWorks with traders and portfolio managers in finance firms
Common CertificationsQuantitative finance certifications (e.g., CQF)Financial analysis certifications (e.g., CFA)

While both roles involve quantitative skills in finance, Part Time Quantitative Developers focus on creating trading software and algorithms, whereas Part Time Quantitative Analysts analyze data to support trading decisions. The developer role emphasizes programming and software development, while the analyst role centers on data analysis and financial modeling.

More about Part Time Quantitative Developer jobs
What are the most commonly searched types of Quantitative Developer jobs? The most popular types of Quantitative Developer jobs are:
What job categories do people searching Part Time Quantitative Developer jobs look for? The top searched job categories for Part Time Quantitative Developer jobs are:
Infographic showing various Part Time Quantitative Developer job openings in the United States as of June 2026, with employment types broken down into 4% Full Time, and 96% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Instructor (Temporary Employee Pool)

Instructor (Temporary Employee Pool)

University of the Pacific

Stockton, CA • On-site

Part-time

Posted 28 days ago


Job description

Posting Details
Position Information
Title
Instructor (Temporary Employee Pool)
Campus
Stockton
Department
Eberhardt School of Business
Posting Number
F00795
Full or Part Time
Part Time
Open Date
08/08/2023
Close Date
Open Until Filled
Yes
Days Per Week
Weeks Per Year
Position Description
Primary Purpose and Essential Functions
The Eberhardt School of Business at the University of the Pacific invites applications for a part-time faculty appointment in business analytics.
The candidate must be able to provide instruction at the graduate level in business analytics programs. Potential courses taught would include:
  • Business Analytics
  • Applied Analytics
  • Database Management
  • Research Methods & Ethics
  • Advanced Business Analytics
  • Capstone Projects
  • Other related courses.

University of the Pacific recognizes that diversity, equity, and inclusion is foundational to the success of our valued students and employees. We prioritize policy and decision-making that demonstrates awareness of, and responsiveness to, the ways socio-cultural forces related to race, gender, ability, sexuality, socio-economic status, etc. impede or propel students, faculty and staff.
Minimum Qualifications
  • Master's Degree in Business Analytics, Data Science, Computer Science, Information Systems, Operations Management, Engineering, Mathematics, statistics, or a related field with significant emphasis on quantitative and analytic subjects.
  • Competency in at least of one of the following applications/programming languages: Excel, SQL, R, Python, JMP, Power BI, and Tableau.

Preferred Qualifications
  • Doctoral degree in business analytics, data science, computer science, information systems, operations management, engineering, mathematics, statistics, or a related field with significant emphasis on quantitative/analytic subjects.
  • Instructional experiences at the college level in analytic/quantitative disciplines.
  • Work/educational experience in related disciplines.
  • Experience and sensitivity in working with people of diverse backgrounds and cultures.
  • Demonstrated experience in advancing social justice, equity, and inclusion in a university setting.
  • Ability to engage and integrate culturally responsive practices and knowledge in their work.

Physical Requirements
The physical demands described here are representative but not definitive of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Requires extended periods of sitting and repetitive hand/wrist motion while using a computer keyboard and phone. Occasional standing, walking, climbing stairs, bending, stooping, and reaching. Occasional lifting of up to 25 pounds
Work Environment/Work Week/Travel:
Schedule is dependent on department need. Must be available to teach evenings.
Hiring Range
$10,200 per course. We consider factors such as, but not limited to, scope and responsibilities of the position, candidate's qualifications, internal equity, as well as market and organizational considerations when extending an offer.
Special Instructions
THIS POSTING IS NOT A GUARANTEE OF AN OPEN POSITION. Your application will be active for 90 days. Applications are accepted on a continuous basis and are reviewed by the hiring department as openings become available. To maintain your application within the system, you will need to re-apply.
Applicants must complete all applicable sections of the online application to be considered for a position. Candidates who are called for an interview must notify the Department of Human Resources in writing of any reasonable accommodation needed before the date of the interview.
Note: if a job-specific posting is created and you are interested in that specific position, please apply to that job posting. Submission of materials does not guarantee consideration for future employment in openings of this type since availability can be unpredictable and consideration competitive.
Contact Information
Albert Huang
Contact Email
ahuang@pacific.edu
Reference Letter Information
Are Applicants Required to Submit References for This Posting?
Yes
Minimum Number of References
2
Maximum Number of References
3
Background Check Statement
All applicants who receive a conditional offer of employment are required to execute a release and authorization for a background screening.
AB 810 Misconduct Disclosure Requirement: University of the Pacific complies with California Assembly Bill 810, requiring candidates accepting conditional job offers to disclose any final administrative or judicial findings, ongoing proceedings, allegations, resignations under investigation, or appeals related to sexual harassment or misconduct within the past seven years.
Anti-Discrimination/EEO Policy Statement
University of the Pacific is an equal opportunity employer dedicated to workforce diversity across backgrounds, experiences, and viewpoints. Pacific does not unlawfully discriminate in its hiring of faculty and staff, or in the provision of its employment benefits to its faculty and staff on the basis of race, color, religion, national origin, ancestry, age, genetic information, sex/gender, marital status, military and veteran status, sexual orientation, medical condition, pregnancy, gender identity, gender expression, or mental or physical disability, or other legally protected characteristics or combination of such characteristics. While we strive to attract a broad and representative pool of candidates, all hiring decisions are made based on merit, selecting the most qualified individual for each position.