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Algorithmic Trading Jobs in Minnesota (NOW HIRING)

Cirrus

AD&D Advanced Software Engineer Sr

Duluth, MN · On-site

$121K - $160K/yr

... ML algorithms for perception, decision-making, and predictive analytics. • Integrate computer ... trade studies, and technical planning for advanced software architectures. • Write, test ...

New

Cirrus Aircraft

AD&D Aerospace Engineer Sr

Duluth, MN · On-site

$96K - $152K/yr

... algorithms. * Must be able to independently design and execute bench, ground, and flight tests, and analyze and present results. * Design, execute, and present trade studies pertaining to data ...

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Algorithmic Trading information

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$73K

$84K

$92.1K

How much do algorithmic trading jobs pay per year?

As of Jun 25, 2026, the average yearly pay for algorithmic trading in Minnesota is $83,984.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,300.00 and $89,100.00 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.

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 offers opportunities in finance firms, hedge funds, and proprietary trading firms, but it requires strong technical skills, continuous learning, and risk management expertise.

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.

How much do Algo traders make?

Algorithmic traders' salaries vary based on experience, location, and performance, but they typically earn from $80,000 to over $200,000 annually. Successful traders with strong quantitative skills and advanced programming knowledge can earn significantly more through bonuses and profit sharing. Compensation often includes base salary, performance incentives, and benefits, especially in financial firms or hedge funds.

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.

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.

Is algorithmic trading illegal?

Algorithmic trading is legal in most jurisdictions when conducted within regulatory frameworks that require proper registration, compliance, and risk management. Traders and firms must adhere to rules set by financial authorities to prevent market manipulation and ensure fair trading practices.
More about Algorithmic Trading jobs
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Algorithmic Trading jobs near you
Staff Software Engineer (Algorithms)

Staff Software Engineer (Algorithms)

Onto

Bloomington, MN

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain helps our customers solve their most difficult yield, device performance, quality, and reliability issues. Onto Innovation strives to optimize customers' critical path of progress by making them smarter, faster and more efficient.

Job Summary & Responsibilities

Onto is seeking a motivated individual for an engineer position in the elite algorithm group within the Inspection Business Unit (IBU).

  • This individual will apply their skills in machine learning, image processing, computer vision, mathematics, optics, and software engineering to develop algorithms to be integrated into Onto's innovative inspection platforms.

  • Responsibilities of this position include: develop optical imaging modeling/calibration, and/or develop image segmentation, classification or detection algorithm for the onto inspection systems. This requires selecting the optimal algorithms to hit the performance and throughput requirements.

  • This person is encouraged to bring forward creative ideas, develop production code and support as needed. This candidate shall be able to work independently and provide recommendations to the hardware group on image quality and error budget base on algorithm design and performance.

  • The candidate is encouraged to have excellent problem solving and communication skills.

  • The candidate is expected to stay up to date with academic research and current industrial practices in machine vision inspection, image processing, and machine learning.

  • Should be competent with at least one numerically focused programming environment such as Python or MATLAB using the native linear algebra, image processing, machine learning libraries.

  • Experience programming the GPU for 3D image rendering

Qualifications

  • PhD or MS or Bachelor in EE, Computer Science, Applied Math or related field.

  • 3+ years of experience.

Onto Innovation Inc. offers competitive salaries and a generous benefits package, including health/dental/vision/life/disability, PTO, 401K plan with employer match, and an Employee Stock Purchase Program (ESPP) along with health & wellness initiatives. We provide a collaborative working environment along with resources, and state-of-the-art tools & equipment to promote success; and a welcoming, inclusive corporate culture where individuals are recognized for their contributions.

Onto Innovation Inc. is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

For positions requiring access to technical data, Onto Innovation Inc., Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.

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About ONTO

Sourced by ZipRecruiter

Industry

Specialized design services

Company size

1 - 10 Employees

Headquarters location

New York, NY, US

Year founded

2021

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