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$31K

$90.6K

$146K

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

As of May 30, 2026, the average yearly pay for part time quantitative trader in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Quantitative Trader, and why are they important?

To thrive as a Part Time Quantitative Trader, you need a strong background in mathematics, statistics, and financial markets, often supported by a degree in a quantitative field like finance, mathematics, or computer science. Familiarity with programming languages such as Python or R, experience with trading platforms, and knowledge of algorithmic trading systems are typically required. Strong analytical thinking, attention to detail, and the ability to make quick, data-driven decisions under pressure set top candidates apart. These skills and qualities are crucial for developing and executing profitable trading strategies while managing risk effectively in fast-moving markets.

What are some common challenges faced by part-time quantitative traders, and how can they be addressed?

Part-time quantitative traders often face the challenge of balancing limited working hours with the need to monitor markets and adjust strategies in real time. To address this, many utilize automated trading systems and robust risk management tools that operate independently, allowing for efficient execution and oversight. Additionally, clear communication with team members and regular strategy reviews help ensure alignment and continuity even when working part-time. Staying updated on market trends and ongoing learning are also crucial for maintaining a competitive edge.

What is a part time quantitative trader?

A part time quantitative trader is a financial professional who uses mathematical models, algorithms, and statistical techniques to analyze market data and execute trades, but works on a part-time schedule rather than full-time. These traders often develop or use automated trading strategies to identify profitable opportunities in the financial markets. Part time quantitative traders may work for themselves or for firms, and they typically need strong analytical, programming, and statistical skills. This role allows for flexible hours, making it suitable for those balancing other commitments while still engaging in quantitative trading.

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

AspectPart Time Quantitative TraderPart Time Quantitative Analyst
Primary FocusDeveloping and executing trading strategies to generate profitsAnalyzing data and models to support trading decisions and risk management
Work EnvironmentFinancial firms, hedge funds, trading desksFinancial institutions, investment firms, research departments
Required CredentialsStrong quantitative skills, programming, finance knowledgeStatistical, analytical skills, finance or economics background

While both roles require quantitative skills and familiarity with financial markets, Part Time Quantitative Traders focus on executing trading strategies to generate profits, often working directly in trading environments. Part Time Quantitative Analysts primarily analyze data and develop models to inform trading decisions, supporting traders and investment teams. The roles overlap in skills but differ in daily responsibilities and objectives.

More about Part Time Quantitative Trader jobs
What cities are hiring for Part Time Quantitative Trader jobs? Cities with the most Part Time Quantitative Trader job openings:
What are the most commonly searched types of Quantitative Trader jobs? The most popular types of Quantitative Trader jobs are:
What states have the most Part Time Quantitative Trader jobs? States with the most job openings for Part Time Quantitative Trader jobs include:
What job categories do people searching Part Time Quantitative Trader jobs look for? The top searched job categories for Part Time Quantitative Trader jobs are:
Part Time Quantitative Trader jobs near you
Infographic showing various Part Time Quantitative Trader job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time)

TRIAEM, LLC

Sterling, VA

$105.50K - $144.90K/yr

Part-time

Posted 28 days ago

Job description


Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time)

Active TS/SCI Required
Location: Chantilly, Va or Springfield, Va

We are seeking a Senior AI/ML Modeling, Simulation & Analysis (MS&A) Engineer to support NGA mission initiatives focused on AI modernization, model assurance, and verification frameworks. This part-time role provides high-level technical advisory support across AI/ML strategy, verification, validation, and explainability efforts in classified GEOINT environments.

This is a senior-level opportunity for an experienced engineer who understands both the operational mission and the rigor required for trusted AI systems in national security applications.

Key Responsibilities

  • Conduct AI/ML gap analyses assessing impact across intelligence, command and control, targeting, autonomous systems, and training environments.
  • Provide subject matter expertise in AI Assurance, Independent Verification & Validation (IV&V), and Explainable AI (XAI).
  • Support Analysis of Alternatives (AoA), Design of Experiments (DoE), trade studies, and engineering assessments.
  • Advise Government stakeholders on strategic technical planning, performance engineering, and risk management.
  • Develop quantitative and qualitative metrics to ensure confidence and trust in AI models.
  • Contribute to AI Assurance frameworks including V&V-as-a-Service and advanced T&E methodologies.
  • Evaluate system architectures, cloud capabilities, CI/CD pipelines, and automation workflows.
  • Collaborate across NGA, NSG, IC partners, and industry teams to advance enterprise AI strategy.

Required Qualifications

  • Active TS/SCI clearance (required).
  • Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or related STEM field (or equivalent senior-level experience).
  • Demonstrated experience in AI model verification, validation, and evaluation (IV&V / T&E).
  • Experience supporting AI Assurance and/or Explainable AI (XAI) initiatives.
  • Proficiency in programming languages such as Python, C++, MATLAB, R, or Java.
  • Experience developing engineering solutions leveraging AI, automation, and augmentation technologies.

Desired Qualifications

  • Experience supporting NGA or Intelligence Community programs.
  • Familiarity with DevSecOps, CI/CD pipelines, and cloud-based AI environments.
  • SAFe Agile and/or Model-Based Systems Engineering (MBSE).
  • Experience with Atlassian tools (JIRA, Confluence).
  • Experience working with structured and unstructured Big Data.