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Algorithmic Trading Jobs in Ohio (NOW HIRING)

Flight Dynamicist

Beavercreek, OH ยท On-site

$107K - $195K/yr

Perform trajectory design, optimization, and trade studies for hypersonic, missile, launch vehicle ... Design, implement, and validate guidance, navigation, and control (GNC) algorithms including ...

Perform trajectory design, optimization, and trade studies for hypersonic, missile, launch vehicle ... Design, implement, and validate guidance, navigation, and control (GNC) algorithms including ...

M&S Engineer

Dayton, OH ยท On-site

Development of models, algorithms and associated simulation software for the above system types and will perform trade-space analysis to assess and verify system characteristics and capabilities.

M&S Engineer

Dayton, OH ยท On-site

Development of models, algorithms and associated simulation software for the above system types and will perform trade-space analysis to assess and verify system characteristics and capabilities.

Perform trajectory design, optimization, and trade studies for hypersonic, missile, launch vehicle ... Design, implement, and validate guidance, navigation, and control (GNC) algorithms including ...

... about algorithmic and operational trade-offs, including precision/recall, false positives/negatives, latency/throughput, and explainability versus automation, and to translate these into product ...

Senior FPGA Engineer

Dayton, OH ยท On-site

$90 - $120/hr

The engineer is responsible for implementing complex digital signal processing (DSP) algorithms ... trading, or data centers. Physical Requirements * Ability to travel by air, car, or other ...

Showing results 21-40

Algorithmic Trading information

See Ohio salary details

$70.8K

$81.5K

$89.4K

How much do algorithmic trading jobs pay per year?

As of Aug 7, 2026, the average yearly pay for algorithmic trading in Ohio is $81,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $86,500.00 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 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.

Do algorithmic traders make money?

Algorithmic traders can make money by developing and implementing automated trading strategies that exploit market opportunities. Success depends on skills in programming, quantitative analysis, and risk management, and profitability varies based on strategy performance and market conditions. Not all algorithmic traders are profitable, and many face significant competition and operational costs.

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 most commonly searched types of Algorithmic Trading jobs in Ohio? The most popular types of Algorithmic Trading jobs in Ohio are:
What are popular job titles related to Algorithmic Trading jobs in Ohio? For Algorithmic Trading jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading jobs in Ohio look for? The top searched job categories for Algorithmic Trading jobs in Ohio are:
What cities in Ohio are hiring for Algorithmic Trading jobs? Cities in Ohio with the most Algorithmic Trading job openings:
Infographic showing various Algorithmic Trading job openings in Ohio as of August 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,522 per year, or $39.2 per hour.

Electronic Warfare Systems Engineer

Matrix Research, Inc.

Beavercreek, OH โ€ข On-site

Full-time

Medical, Dental, Retirement, PTO

Re-posted 10 days ago


Job description

Electronic Warfare Systems Engineer
We are currently seeking a Mid-level Electronic Warfare Systems Engineer with experience in Model-Based Systems Engineering for our growing business in Dayton, Ohio. This position is for on-site support at Wright-Patterson AFB (WPAFB) and is contingent on contract award.
HOW WILL THIS POSITION CONTRIBUTE?
  • Mission: Using systems engineering best practices and Model-Based Systems Engineering (MBSE) methods, design, develop, test, and document advanced Electronic Warfare (EW) and Radar sensor technologies.
  • How: Using industry best practices, assess and refine system requirements, perform trade studies, create system-level designs, design and implement tests, develop interfaces, and maintain reference architectures.

WHAT SKILLS ARE NEEDED?
  • Required:
    • Experience in one or more of the following:
      • model-based systems engineering (MBSE) to include SysML and DoDAF standards,
      • mission-level modeling and simulation tools,
      • high-fidelity RF modeling and simulation tools,
      • digital signal processing (DSP),
      • EW system design and signal processing,
      • radar system design, measurements, and signal processing.
    • Familiarity with MBSE Tools
      • Cameo, Sparx Enterprise Architect, and/or Visual Paradigm
    • Familiarity with programming:
      • a systems language (such as C and C++) and/or
      • a high-level language (such as Julia, Python, MATLAB), and
      • willingness to learn from others.
    • A Bachelor's or Master's degree in engineering, physics, mathematics, computer science, or a related technical field or an equivalent combination of education and experience.
    • Applicants must be US citizens capable of obtaining and maintaining a US DoD security clearance.
  • Desired or Will Train:
    • At least five years of professional Systems Engineering experience
    • Familiarity with MATLAB, algorithm development, and algorithm evaluation
    • An active security clearance

WHO IS MATRIX RESEARCH?
Matrix Research is an employee-owned, small business advancing the state of the art in radar systems, radio frequency, and sensor exploitation technologies. Two thirds of our staff hold advanced degrees in Engineering, Mathematics, or the Physical Sciences. Our programs span basic research through the demonstration, test and evaluation, and low-rate production of advanced sensing systems, subsystems, and components.
WHY WORK WITH US?
  • We work with a purpose: To make the world safer through the development and delivery of innovative engineering solutions.
  • We work as a team: We are a collaborative company comprised of highly-educated industry leaders in radar systems, image and signal processing, machine learning, hardware development, and software engineering.
  • We support our employees with industry-leading benefits: As an employee-owned company, we embrace quality benefits, including a 20% no-match-required retirement plan, accrued 4 weeks of vacation annually, substantially-subsidized health and dental insurance, discretionary annual bonuses, and many more.
  • We support our employees with work/life flexibility: We offer a hybrid remote work environment for most positions and hourly pay for all positions - ensuring individuals are fairly compensated for hours worked while supporting a flexible work commitment.
  • We transform ideas into reality: Our programs range from groundbreaking research to field deployment of advanced systems developed inhouse.

Matrix Research is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, marital status, veteran's status, disability, sexual orientation, gender identity, national origin or any other protected class set forth by federal or state law, or for inquiring about, discussing, or disclosing compensation.
Matrix is a Drug-Free Workplace
This job description is designed to provide general guidance in job tasks and is not meant to be all-inclusive of the responsibilities, duties, and skills required of this position. As business demands and needs change, the essential functions of this position may be updated to reflect the needs of Matrix Research, Inc.