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Part Time Python Quant Jobs (NOW HIRING)

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.

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 ...

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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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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 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.
Acoustician Level 2 - Part Time - Cetacean Data Analysis & Processing Support

Acoustician Level 2 - Part Time - Cetacean Data Analysis & Processing Support

Lynker Corporation

Honolulu, HI • On-site, Remote

$36 - $52/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Overview
Lynker Corporation is seeking to hire one (1) part-time Acoustician Level 2 to support a contract with NOAA's National Marine Fisheries Service (NMFS). This is a year-round, part-time position anticipated at approximately 940 hrs per year that may be performed on-site or remotely, with anticipated travel in support of meetings, workshops, and field activities. The position is anticipated to begin on September 30, 2026. Hiring for this position will be contingent on contract award. *Lynker will be operating under its FLOAT joint venture, a NOAA ProTech Fisheries 2.0 prime contract holder.
NOAA NMFS uses passive acoustic monitoring data to support cetacean population assessments and analysis of ocean soundscapes across the Pacific Islands Region. The tasks for this position will support larger analysis efforts at PIFSC. Work will include analysis of datasets collected from stationary, drifting, moored, towed, and autonomous platforms to evaluate cetacean vocalizations, behavior, occurrence, and relationships to habitat and environmental conditions.
Responsibilities
Essential Duties and Responsibilities
  • Analyze passive acoustic monitoring datasets collected from stationary recorders, towed hydrophone arrays, drifting recorders, autonomous gliders, and other acoustic platforms.
  • Develop, test, validate, and refine automated cetacean detection, classification, and localization approaches.
  • Conduct quantitative analyses of cetacean occurrence, abundance, seasonality, habitat use, and acoustic behavior.
  • Characterize cetacean call types and evaluate relationships between acoustic detections and environmental or anthropogenic factors.
  • Perform statistical analyses supporting marine mammal stock assessments and ecological research.
  • Analyze underwater soundscape datasets and compute ambient noise metrics across multiple temporal scales.
  • Evaluate long-term acoustic trends and assess natural and anthropogenic sound sources within monitored ecosystems.
  • Validate automated classifiers through manual review and annotation of acoustic datasets.
  • Support acoustic analyses associated with autonomous Seaglider deployments and other emerging monitoring technologies.
  • Contribute to acoustic propagation modeling and evaluation of species-specific detection performance.
  • Maintain reproducible analytical workflows using MATLAB, Python, R, GitHub, and NOAA Fisheries data management standards.
  • Document analytical methods, maintain analysis logs, and support preparation of reports, manuscripts, conference presentations, and technical summaries.
  • Collaborate with NOAA scientists, project partners, and working groups to advance passive acoustic monitoring methodologies and research objectives.

Qualifications
The Acoustician selected should have the following minimum requirements:
  • Master's degree in marine biology, oceanography, acoustics, fisheries science, statistics, computer science, or related field
  • At least two (2) years of relevant experience
  • Working knowledge of underwater acoustic theory and practice, including acoustic propagation, sound measurement, and standard signal processing techniques
  • Experience developing, testing, and validating automated detectors and classifiers for passive acoustic datasets
  • Experience processing acoustic data to extract soundscape and ambient noise measurements at hourly to yearly timescales
  • Ability to design, execute, and interpret statistical analyses of animal abundance to evaluate patterns in occurrence or associations with habitat or fishery variables
  • Prior experience drafting reports and presenting project results at scientific meetings
  • Proficiency in MATLAB and R programming languages, including MATLAB-based acoustic analysis software Triton
  • Current MS Office skills
  • Proficiency with passive acoustic metadata databases such as TETHYS and Makara
  • Proficiency in open science practices, including use of GitHub or other resources for maintaining and archiving analysis code
The Ideal Acoustician will have the following preferred qualifications:
  • Experience with acoustic localization techniques, including evaluation of automated algorithms within PAMGUARD and development of novel processing and evaluation code

About Lynker
Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.
We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.
Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:
  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.
Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.
*This position is advertised through our joint venture, FISH and Lynker Ocean Alliance Team (FLOAT), a partnership between Lynker and Fisheries Immersed Sciences Hawaii (FISH) serving the NOAA ProTech Fisheries 2.0 IDIQ contracting vehicle.
⚠ Fraud Alert: Recruitment Scam Warning: Lynker has been made aware of fraudulent individuals posing as Lynker recruiters and offering fake job opportunities. All legitimate Lynker job postings are listed on our official careers page. Communication from Lynker recruiters will come from an official @lynker.com email address.

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