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Part Time Algorithmic Trading Quant Jobs (NOW HIRING)

Squirl Financial

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 ...

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 ...

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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 25, 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 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 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 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.

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 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:

What states have the most Part Time Algorithmic Trading Quant jobs?

States with the most job openings for Part Time Algorithmic Trading Quant jobs include:

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.

Bernstein - Quantitative Research & Trading Intern - Fall 2026

New York, NY

Societe Generale
See more jobs at Societe Generaleexternal

Full-time, Part-time, Internship

Re-posted 8 days ago

Job description

We are looking for a highly self-motivated, fast-learning intern to join our quantitative research and trading team. This role is ideal for candidates who can operate independently, quickly understand complex systems, and contribute to production-level projects.

You will work closely with a small, high-impact team building and supporting a global trading system spanning market data, execution algorithms, and analytics.

Key Responsibilities

  • Develop and enhance quantitative models for trading and execution
  • Analyze large-scale market data to extract actionable signals
  • Support algorithmic trading strategies (alpha, execution, microstructure)
  • Build tools for data analysis, simulation, and visualization
  • Collaborate with engineers on system integration (Python / Java / C )
  • Debug and improve production trading systems

Basic Qualifications

  • Strong self-drive and ability to work independently
  • Background in Mathematics, Statistics, Computer Science, or Engineering
  • Programming experience in at least one of: Python, C , or Java
  • Understanding of data structures, algorithms, probability, and statistics
  • Ability to read and understand complex existing codebases
  • Be in your penultimate year of study of a bachelor's or master's degree, we will also consider post graduate interns.  
  • Be available for full-time or part-time work the fall of 2026.

Preferred Qualifications

  • Experience with quantitative trading, financial markets, or time series modeling
  • Familiarity with machine learning techniques
  • Experience with 3D modeling or simulation tools (e.g., Blender), demonstrating spatial reasoning and technical creativity
  • Exposure to Linux, distributed systems, or cross-language systems (e.g., Java C )

 Base salary range does not include overtime pay, bonus and/or other benefits, where applicable. Actual base salary offer will vary based on skills and experience.

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