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Algorithmic Trading Jobs in Michigan (NOW HIRING)

Squirl Financial Inc

Software Engineer

Detroit, MI · On-site +1

Over the past year, we have been working with BCM Partners to launch our first in-house systematic trading algorithm: a LONG-SHORT global macro strategy that executes on directional trading ...

Squirl Financial

Software Engineer

Detroit, MI · On-site

Over the past year, we have been working with BCM Partners to launch our first in-house systematic trading algorithm: a LONG-SHORT global macro strategy that executes on directional trading ...

Actalent

Principal BMS Engineer

Ann Arbor, MI

$57 - $96.15/hr

... algorithms, and system integration. In this role, you will own and steward multi-generation BMS ... Lead technical trade studies for safety, performance, cost, manufacturability, and long-term ...

New

Gates

Embedded Firmware Engineer

Rochester Hills, MI · On-site

$112K - $130K/yr

Implement and optimize algorithms for control, signal processing, and system diagnostics. * Develop ... Founded in 1911 in Denver, Colorado, Gates is publicly traded on the NYSE. While we might operate ...

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All JobsAlgorithmic Trading JobsAlgorithmic Trading Jobs in Michigan

Algorithmic Trading information

See Michigan salary details

$64.9K

$74.7K

$81.9K

How much do algorithmic trading jobs pay per year?

As of Jul 22, 2026, the average yearly pay for algorithmic trading in Michigan is $74,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $79,300.00 per year, depending on experience, location, and employer.

What Is Algorithmic Trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

How to become an algorithmic trader?

To become an algorithmic trader, you should develop strong programming skills in languages like Python or C++, gain knowledge of financial markets and trading strategies, and learn to use trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and many traders pursue certifications such as the Chartered Market Technician (CMT) or Financial Risk Manager (FRM). Experience with backtesting and risk management is also important for success in this field.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills, data analysis, and financial knowledge. It can be lucrative and in demand in financial firms, but it requires strong technical expertise, continuous learning, and understanding of market regulations. Success in this field depends on technical proficiency, risk management, and staying updated with market trends.

Who is the richest Algo trader in the world?

Algorithmic trading is a specialized finance role involving the use of algorithms and programming skills to execute trades. While individual net worth is often private, some of the most successful algorithmic traders and quant hedge fund managers, such as Jim Simons, have accumulated significant wealth through quantitative strategies and advanced data analysis. These professionals typically work in high-frequency trading firms or hedge funds and require strong mathematical, programming, and financial skills.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

Can I make money with algorithmic trading?

Algorithmic trading professionals develop and implement automated trading strategies that can generate profits if the algorithms are well-designed and market conditions are favorable. Success depends on skills in programming, data analysis, and risk management, and consistent profitability is not guaranteed. Many traders experience both gains and losses, and ongoing testing and optimization are essential for potential profitability.

What are the key skills and qualifications needed to thrive as an Algorithmic Trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.
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Algorithmic Trading jobs near you
Infographic showing various Algorithmic Trading job openings in Michigan as of July 2026, with employment types broken down into 1% Internship, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $74,739 per year, or $35.9 per hour.

Software Engineer

Squirl Financial Inc

Detroit, MI • On-site, Remote

Part-time

Posted 17 days ago

Job description

WHILE THERE IS NO MONETARY COMPENSATION CURRENTLY, THIS POSITION WILL BE COMPENSATED WITH 1-3% EQUITY IN THE COMPANY ALONG WITH A COMPETITIVE SALARY IN THE FUTURE ONCE WE HAVE RAISED A SEED ROUND.
About Squirl:
Founded in early January 2020 by a team of three college sophomores, who had a passion for financial markets and technology, the early roots of Squirl started out as an extracurricular project to develop algorithmic trading strategies that outperformed the S&P 500. Overtime, as our shared experience and connections grew, we eventually transitioned into becoming an advanced quantitative trading firm with deep partnerships to asset management firms globally.
Over the past year, we have been working with BCM Partners to launch our first in-house systematic trading algorithm: a LONG-SHORT global macro strategy that executes on directional trading opportunities in the FX market. We are also testing additional strategies in the equities market that demonstrate significant alpha in backtests.
Throughout our journey, we have gained a more proficient understanding on how to best capitalize on the changing dynamics of financial markets, and our hands-on experiences have allowed our portfolios to excel in even the most volatile of times.
About the position:
We are looking for a part-time Software Engineer who will assist us with the design, development and installation of various software solutions. Your duties will include development, writing code, and documenting functionality.
You should be able to build high-quality, innovative and fully performing software in compliance with coding standards and technical design.
Position responsibilities include:
  • Organize full lifecycle software development
  • Prepare specifications and determine operational feasibility
  • Write well designed, testable, efficient code
  • Prepare software verification plans and quality assurance procedures
  • Organize documenting and maintenance of software functionality
  • Integrate software components into a fully functional software system
  • Evaluate and deploy software tools, processes and metrics
  • Provide support and consulting on software systems usage
  • Ensure compliance with project plans and industry standards

Position requirements:
  • 2+ years' experience of working in a Computer Software Engineer or Software Developer position
  • Significant experience with following test-driven development to create software in Python using core language features and the SciPy stack (pandas, numpy, sci-kit learn, etc.)
  • Excellent knowledge of REST APIs, timeseries databases, and UNIX system administration
  • Demonstrated experience in documenting requirements and specifications
  • Close familiarity with software engineering tools, software development methodology and release processes
  • BS degree in Computer Science or Engineering

Perks of joining our team:
  • Flexibility to work whenever you want (apart from weekly team check-ins)
  • Exposure to working with a team that will be following the agile development methodology to rapidly iterate and grow
  • Ability to contribute to the design and development of a product that could be used by thousands of people
  • Joining an up-and-coming startup with plans to disrupt the financial services sector
  • Being surrounded by a team with over 15+ years of combined development experience and 30+ years of trading experience
  • Mentorship to grow as a software engineer and as a stock/option trader
  • Potential to grow within our company through further projects

Apply