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Part Time Algorithmic Trading Quant Jobs (NOW HIRING)

Apple

Display Metrology Engineer

Cupertino, CA · On-site

Strong quantitative data & image analysis skills utilizing JMP, MATLAB, or similar tools ... preferred), including Six Sigma, P/T ratio, DoE, failure analysis, and system trade-offs.

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

You'll develop algorithms and systems and use the right combination of tools and frameworks to turn ... Experience developing predictive data models, quantitative analyses, and visualization of targeted ...

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Part Time Algorithmic Trading Quant information

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$52.5K

$119.2K

$196.5K

How much do part time algorithmic trading quant jobs pay per year?

As of Jul 15, 2026, the average yearly pay for part time algorithmic trading quant in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Algorithmic Trading Quant vs Part Time Quantitative Analyst?

AspectPart Time Algorithmic Trading QuantPart Time Quantitative Analyst
CredentialsTypically requires degrees in Computer Science, Mathematics, or Engineering; programming skills essentialRequires degrees in Finance, Economics, Mathematics; strong analytical skills needed
Work EnvironmentPrimarily in trading firms or hedge funds, focused on developing trading algorithmsIn finance institutions, focusing on data analysis, model development, and risk assessment
Industry UsageCommonly employed in algorithmic trading firms and hedge fundsUsed across investment banks, asset management firms, and financial services

While both roles involve quantitative skills and finance knowledge, the Part Time Algorithmic Trading Quant specializes in developing and implementing trading algorithms, often requiring programming expertise. The Part Time Quantitative Analyst focuses more broadly on financial data analysis and model development without necessarily coding trading systems. Understanding these differences helps candidates target their job search effectively.

What are the key skills and qualifications needed to thrive as a Part Time Algorithmic Trading Quant, and why are they important?

To thrive as a Part Time Algorithmic Trading Quant, you need strong quantitative analysis skills, proficiency in statistics and mathematics, and typically a background in finance, computer science, or a related field. Familiarity with programming languages like Python or C++, experience with trading platforms, and knowledge of machine learning libraries or financial databases are important technical qualifications. Attention to detail, problem-solving ability, and strong communication skills help you stand out in this role. These skills are crucial for developing, implementing, and optimizing trading strategies in fast-paced, data-driven environments where accuracy and adaptability are essential.

What is a Part Time Algorithmic Trading Quant?

A Part Time Algorithmic Trading Quant is a professional who develops, tests, and implements mathematical models and algorithms to make automated trading decisions, typically working fewer hours than a full-time quant. They use programming, statistical analysis, and financial market knowledge to create strategies that can profit from market movements. Part-time quants may work for hedge funds, proprietary trading firms, or as independent contractors, and their flexible schedule allows them to balance other commitments while contributing to the trading team's goals.

What are the typical challenges faced by part-time algorithmic trading quants when balancing project deadlines with market hours?

Part-time algorithmic trading quants often face the challenge of synchronizing their limited working hours with the fast-paced and sometimes unpredictable nature of financial markets. Meeting project deadlines can be particularly demanding, as market opportunities and anomalies may arise outside of their scheduled work times. Effective time management, clear communication with the trading team, and automation of routine tasks are essential for success in this role. Collaborating closely with full-time colleagues and using version control systems can also help ensure smooth project handovers and maintain continuity.
More about Part Time Algorithmic Trading Quant jobs
What cities are hiring for Part Time Algorithmic Trading Quant jobs? Cities with the most Part Time Algorithmic Trading Quant job openings:
What are the most commonly searched types of Algorithmic Trading Quant jobs? The most popular types of Algorithmic Trading Quant jobs are:
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Part Time Algorithmic Trading Quant jobs near you
Infographic showing various Part Time Algorithmic Trading Quant job openings in the United States as of July 2026, with employment types broken down into 26% Locum Tenens, 1% As Needed, 64% Full Time, 8% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.
Senior Analyst (Economics) PT - Hybrid, DC Area

Senior Analyst (Economics) PT - Hybrid, DC Area

BluePath Labs

Washington, DC • On-site

$40 - $90/hr

Full-time, Part-time

Re-posted 11 days ago

Job description

Senior Analyst (Economics) PT - Hybrid

Location: Washington, D.C.

Clearance: TS/SCI (active)

Salary Range: $40 - $80/hr

BluePath Labs is a fast-growing research and consulting company committed to solving complex problems for federal, state, and local government clients. We offer a range of professional, scientific, and technology services. Our specific areas of expertise include business consulting, research and data science, and technology integration.

We are actively seeking an experienced Part Time Senior Analyst to support our civilian agency client in efforts to advance national security, foreign policy, and economic interests.

This role will report in person to the civilian agency in Washington, DC 20230 two to three days per week.

Work Description:

The civilian agency develops export control policies, issues export licenses, and prosecutes violators to heighten the nation's economic prosperity. Additionally, the agency develops and implements policies and programs that ensure a strong, technologically superior defense industrial base. The objective of this project is to enhance the Office of Technology Evaluation's ability to conduct technical analysis, research, data analytics, data visualization, and technical support for the agency Export Administration (EA).

In support of this program, the Senior Analyst will provide economic trade data and analysis in support of agency activities. The Senior Analyst will respond to queries about trade related data sets and conduct advanced data analysis in support of reports, investigations, and special projects.

Responsibilities: The Senior Analyst will support tasks such as:

  • Conduct qualitative and quantitative analyses of export policies and national security controls, U.S. industry's economic/regulatory concerns, and any impact to the Export Control Reform Act.
  • Develop and apply operations research / statistical / mathematical / artificial intelligence / machine learning methodologies and techniques to analyze the effects of export controls
  • Review export and reexport transactions to identify noncompliance from foreign intermediaries and end users through a variety of data sources.
  • Support consultation with Allies/partner countries and outreach to industry.
  • Gather and analyze data to assess effectiveness of licensing system and multilateral partnerships.
  • Analyze and assist the evaluation of the capabilities, effectiveness, feasibility, and costs of proposed alternative export policies.
  • Apply advanced statistical and quantitative evaluation methods to develop and or recommend courses of action, management methodologies, and action implementation plans in directed recurring studies.
  • Support and advise on implementation of collaborative knowledge management systems, (i.e., Palantir Foundry, SharePoint, SQL, data management)

Minimum Requirements:

  • U.S. Citizenship
  • Bachelor's Degree in Economics, Statistics, Mathematics, International Relations, Public Policy, Social Sciences, or other relevant field
  • 6+ years of relevant trade data analysis experience
  • Ability to write SQL queries and analyze / present results
  • Proficient with data preparation and visualization tools such as PowerBI and Snowflake

Preferred Qualifications:

  • Working knowledge of data science programming in Python
  • Working knowledge of Palantir Foundry applications
  • Understanding of common data science toolkits
  • Independent problem-solving
  • Strong writing and editing skills
  • Willingness to learn
  • Ability to collaborate and work effectively remotely and in-person

About BluePath

BluePath Labs combines mission and business insights with advanced technologies to deliver measurable performance improvements for our clients. BluePath is dedicated to surpassing client expectations by always living by our core values of integrity, professionalism, and resilience. BluePath's extensive experience in Government, Military, Commercial, and Academic environments is unique among small businesses and a core differentiator of our solutions. Our multidisciplinary background allows us to solve diverse and complex problems. Most importantly, we work closely with our clients to frame problems correctly, optimize processes, leverage technologies, and implement enduring solutions. Labs are where ideas are born, experiments occur, and breakthroughs happen. It is the hallmark of BluePath's culture.

https://www.bluepathlabs.com/

BluePath Labs is an equal opportunity employer.