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Freelance Algorithmic Trading Quant Jobs in Muskego, WI

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Freelance Algorithmic Trading Quant information

See Muskego, WI salary details

$49.4K

$112.2K

$185K

How much do freelance algorithmic trading quant jobs pay per year?

As of Sep 6, 2026, the average yearly pay for freelance algorithmic trading quant in Muskego, WI is $112,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $143,600.00 per year, depending on experience, location, and employer.

What is a freelance algorithmic trading quant?

A Freelance Algorithmic Trading Quant is an independent professional who designs, develops, and implements mathematical models and algorithms to automate trading in financial markets. They analyze market data, identify trading opportunities, and build automated systems that can execute trades based on quantitative strategies. Unlike full-time employees, freelance algorithmic trading quants typically work on a project basis for various clients or firms, offering flexibility and specialized expertise. Their work often involves programming, statistical analysis, and a strong understanding of financial markets.

What are the key skills and qualifications needed to thrive as a freelance algorithmic trading quant?

To thrive as a Freelance Algorithmic Trading Quant, you need a deep understanding of quantitative analysis, financial markets, and programming, typically backed by a degree in mathematics, statistics, finance, or computer science. Proficiency with programming languages like Python, R, or C++, and experience with trading platforms, statistical modeling tools, and backtesting systems are essential. Strong problem-solving abilities, attention to detail, and effective self-management set exceptional candidates apart in this role. These skills and qualities are vital for developing, testing, and executing profitable trading strategies in a competitive and rapidly changing environment.

How does a freelance algorithmic trading quant typically collaborate with clients and other stakeholders during a project?

As a Freelance Algorithmic Trading Quant, you'll often work closely with clients such as hedge funds, proprietary trading firms, or individual investors to understand their trading objectives and risk appetite. Collaboration usually involves regular check-ins to discuss model requirements, share progress updates, and review backtesting results. You may also interact with other professionals like software developers, risk managers, or data engineers, especially when integrating algorithms into existing trading platforms. Clear communication and documentation are essential to ensure alignment on project goals and deliverables. Flexibility and responsiveness to feedback are key to building long-term client relationships in this dynamic field.

What job categories do people searching Freelance Algorithmic Trading Quant jobs in Muskego, WI look for?

The top searched job categories for Freelance Algorithmic Trading Quant jobs in Muskego, WI are:

Freelance Algorithmic Trading Quant jobs near you

Assistant Professor of Practice

Jacobs Levy Equity Management

Milwaukee, WI • On-site

$75 - $105/hr

Other

Posted 18 days ago

Job description

Marquette University’s Department of Finance invites applications for a full-time, non-tenure track Assistant Professor of Practice. This position supports the College of Business Administration’s newly launched AI in Business major and contributes to the Finance Department’s growing emphasis on the intersection of artificial intelligence, data-driven decision-making, and financial practice. The successful candidate will be an innovative educator with applied expertise in AI and finance, committed to preparing students for careers in a rapidly evolving industry.

The candidate will teach courses in AI in Finance and related areas, with a standard load of 24 credit hours per academic year. A reduced load of 18 credit hours per year may be considered for candidates who hold a Ph.D. or terminal degree and maintain an active research agenda. Responsibilities include:

  • Teach undergraduate and/or graduate courses in AI in Finance, fintech, data analytics for finance, and related subjects;
  • Develop and update course materials to reflect current tools, industry practices, and emerging applications of AI in financial services;
  • Contribute to the College’s AI in Business major through curriculum design, cross-departmental collaboration, and advising;
  • Mentor and advise students on academic and career development;
  • Participate in departmental, college, and university service, including committee work, program assessment, and shared governance;
  • Pursue scholarly or applied research in AI and finance (a Ph.D. or terminal degree plus an active research agenda is required for 18-credit load consideration).

Required Knowledge, Skills, and Abilities

  1. Master’s degree in Finance, Financial Engineering, Data Science, or a closely related field from an AACSB-accredited institution.
  2. Demonstrated experience applying artificial intelligence or machine learning tools in a finance or business context.
  3. Evidence of effective college-level teaching or strong potential for teaching excellence.
  4. Strong communication skills and a demonstrated commitment to student engagement and learning.

Preferred Knowledge, Skills, and Abilities

  1. Ph.D. in Finance, Financial Economics, Data Science, or a related field; strongly preferred.
  2. Or industry experience in fintech, quantitative finance, algorithmic trading, or AI-driven financial applications.
  3. Experience developing or teaching courses that integrate Python, machine learning, or artificial intelligence tools into a finance curriculum.
  4. Familiarity with undergraduate or graduate AI in Business program design.
  5. Active research agenda in artificial intelligence, fintech, or quantitative finance.
  6. Relevant professional or technical certifications, such as the CFA designation or certifications in Python for Data Science or Machine Learning.
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