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Part Time Algorithmic Trading Quant Jobs (NOW HIRING)

Squirl Financial

Software Engineer

Detroit, MI

... develop algorithmic trading strategies that outperformed the S&P 500. Overtime, as our shared ... We are looking for a part-time Software Engineer who will assist us with the design, development ...

Squirl Financial Inc

Software Engineer

Detroit, MI · On-site +1

... develop algorithmic trading strategies that outperformed the S&P 500. Overtime, as our shared ... We are looking for a part-time Software Engineer who will assist us with the design, development ...

Web3 Talent Collective

Generalist Web3 Engineer

$70K - $400K/yr

We are looking for talents across the board, from part-time web2 engineers transitioning to web3 to ... and writing algorithms to optimize trade execution * Fool-proof security across the stack ...

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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 Aug 5, 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?

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:
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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 3% Locum Tenens, 29% Full Time, 4% Part Time, and 64% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Finance Expert - Quant Research & Systematic Trading

Weekday AI

Remote

$170 - $220/hr

Part-time

Posted 6 days ago

Job description

This role is for one of our clients
Compensation: $170-$220 per hour
A leading AI research initiative is launching a specialized Finance Sprint focused on evaluating the realism and technical accuracy of quantitative finance workflows. We are seeking experienced quantitative researchers and systematic trading professionals to assess whether complex finance tasks accurately reflect real-world industry practices.
This is a high-impact, fast-paced engagement where your expertise will help ensure AI evaluation tasks measure genuine quantitative finance capabilities. The work involves reviewing confidential task scenarios, identifying weaknesses, and providing structured feedback to improve the realism, rigor, and practical relevance of each workflow.
Due to the collaborative nature of the sprint, candidates should be available to actively participate throughout the engagement and respond promptly to project updates and feedback.
Requirements
Key Responsibilities
  • Review quantitative finance tasks and workflows for technical accuracy, realism, clarity, and internal consistency.
  • Evaluate whether provided datasets, assumptions, constraints, and expected workflows accurately represent real-world quantitative research and systematic trading practices.
  • Identify missing assumptions, ambiguous instructions, unrealistic constraints, unsupported requirements, and critical edge cases.
  • Assess whether tasks effectively measure practical quantitative finance capabilities rather than theoretical knowledge alone.
  • Provide concise, structured written feedback along with actionable recommendations to improve task quality and realism.
  • Collaborate with fellow subject matter experts to calibrate evaluations and maintain consistent quality standards across the project.
Core Qualifications
  • 5-8 years of relevant experience for the Researcher Track, or 8-15 years for the Senior Reviewer Track.
  • Professional experience in one or more of the following:
    • Quantitative Research
    • Systematic or Algorithmic Trading
    • Portfolio Construction
    • Quantitative Portfolio Management
    • Financial Engineering
    • Related quantitative investment disciplines
  • Strong Python programming skills with hands-on experience developing, validating, or reviewing quantitative research workflows.
  • Deep understanding of:
    • Research methodology and bias
    • Data quality and validation
    • Backtesting best practices
    • Transaction costs and market impact
    • Risk modeling
    • Portfolio implementation constraints
    • Quantitative model evaluation
  • Excellent written communication skills with the ability to clearly explain evaluation decisions and professional reasoning.
  • Exceptional attention to detail, sound judgment, and the ability to consistently evaluate work against structured quality standards.
  • Experience reviewing research, mentoring analysts, establishing quality controls, or approving technical work is highly valued for senior-level reviewers.
Why This Role Matters
High-quality AI systems require evaluation tasks that accurately reflect the complexity of real-world quantitative finance. Your expertise will help ensure AI models are assessed against authentic industry practices, enabling more reliable benchmarking and meaningful performance improvements.
Equal Opportunity
We are committed to fostering an inclusive environment and welcome qualified applicants from all backgrounds. All employment decisions are made without regard to legally protected characteristics, and reasonable accommodations are available throughout the application and engagement process upon request.
Contract & Engagement Details
  • Independent contractor engagement.
  • Fully remote with flexible working hours.
  • High-engagement project with the potential for extension based on business needs and individual performance.
  • Weekly payments are processed through supported payment platforms.
  • Applicants must be legally authorized to work in the applicable hiring location. Unfortunately, visa sponsorship, including H-1B and STEM OPT support, is not available for this opportunity.

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