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Algorithmic Trading Jobs in Minnesota (NOW HIRING)

TSI Incorporated

Senior Scientist - MSP

Shoreview, MN · On-site

$125 - $150/hr

Evaluate measurement concepts and algorithms for merit and demonstrate ability to convert ... Some travel to key trade shows, conferences, customer visits to present papers and bring back ...

TSI, Inc.

Senior Scientist - MSP

Shoreview, MN · On-site

$92K - $126K/yr

Evaluate measurement concepts and algorithms for merit and demonstrate ability to convert ... Some travel to key trade shows, conferences, customer visits to present papers and bring back ...

TSI Incorporated

Senior Scientist - MSP

Shoreview, MN

$92K - $126K/yr

Evaluate measurement concepts and algorithms for merit and demonstrate ability to convert ... Some travel to key trade shows, conferences, customer visits to present papers and bring back ...

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Algorithmic Trading information

See Minnesota salary details

$73K

$84K

$92.1K

How much do algorithmic trading jobs pay per year?

As of Sep 7, 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.

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 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.

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 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.

More about Algorithmic Trading jobs

What are the most commonly searched types of Algorithmic Trading jobs in Minnesota?

The most popular types of Algorithmic Trading jobs in Minnesota are:

What are popular job titles related to Algorithmic Trading jobs in Minnesota?

For Algorithmic Trading jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Algorithmic Trading jobs in Minnesota look for?

The top searched job categories for Algorithmic Trading jobs in Minnesota are:

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Algorithmic Trading jobs near you
Infographic showing various Algorithmic Trading job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $83,984 per year, or $40.4 per hour.

GDMS - Signal Processing Systems Engineer

Beyond SOF

Minneapolis, MN • On-site

$121K - $130K/yr

Full-time

Re-posted 9 days ago

Key responsibilities

  • Analyze, design, develop, and test signal processing systems.

  • Formulate operational concepts, perform mission, functional, and risk analysis, and prepare system specifications.

  • Perform requirements analysis, system design, testing, verification, and validation of radar sensor and signal processing algorithms.

Job description

Signal Processing Systems Engineer
Experience level: Mid Level
Experience required: 5 Years
Education level: Bachelor's degree
Job function: Engineering
Industry: Defense & Space
Compensation: $121,000 - $130,000
Total position: 1
Relocation assistance: No
Visa : Only US citizens and Greencard holders
COMPANY OVERVIEW:
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high performance team!
General Dynamics is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse and talented workforce. EOE/Disability/Veteran.
BASIC QUALIFICATIONS:
Bachelor's degree in systems engineering, a related specialized area or field is required plus a minimum of 5 years of relevant experience; or Master's degree plus a minimum of 3 years of relevant experience. Agile experience preferred.
CLEARANCE REQUIREMENTS:
Department of Defense Secret Clearance is required within a reasonable period of time. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
RESPONSIBILITIES FOR THIS POSITION:
General Dynamics Mission Systems has an immediate opening for an Advanced Signal Processing Systems Engineer.This position provides an opportunity to further advance the cutting-edge technology that supports some of our nation's core defense/intelligence services and systems.General Dynamics Mission Systems employees work closely with esteemed customers to develop solutions that allow them to carry out high-stakes national security missions.
REPRESENTATIVE DUTIES AND TASKS:
The Advanced Signal Processing Systems Engineer will analyze, design, develop, and test signal processing systems for General Dynamics Mission Systems engineering efforts. Additional responsibilities include formulating operational concepts (CONOPS); performing mission, functional, and risk analysis; selecting systems architecture; and preparing specifications for General Dynamics Mission Systems operating systems to ensure designs meet applicable specifications.
The Advanced Signal Processing Systems Engineer may also:
Perform requirements analysis, requirements definition, requirements management, functional analysis, performance analysis, system design, detail trade studies, systems integration and test (verification), validation and interface definition studies of subsystem or system elements
Participate in Modeling and Simulation
Perform testing, verification, and validation of radar sensor and signal processing algorithm requirements and performance
KNOWLEDGE SKILLS AND ABILITIES:
  • Knowledge of radar signal processing and analysis.
  • Proficient with MATLAB and C/C++ programming languages
  • RF background with a working knowledge of electronic scanned antennas, receivers, exciters, and digital signal processing
  • Experience specifically in Radar Signal Processing (e.g. design requirements for radar systems, tactical or simulation algorithm prototyping or implementation)
  • Knowledge of hardware and software integration
  • Strong written and verbal communications skills

PREFERRED EXPERIENCE:
  • Working knowledge of sensor modalities (e.g. EO/IT, LIDAR, HSI)
  • Hold active Secret Level DOD Clearance
  • Algorithm profiling and porting
  • Single and multi-processor/core environments
  • Familiar with vector/signal processing libraries
  • Coursework and/or experience with digital signal processing, probability theory, stochastic signal processing, and electromagnetic theory.

PREFERRED DEGREE TYPES:
Bachelor's or Master's degree in Electrical Engineering, Math, Physics, or equivalent

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