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Algorithmic Trading Jobs in Ohio (NOW HIRING)

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

Flight Dynamicist

Beavercreek, OH · 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 ...

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.

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

... advanced algorithms. * Shift to Predictive Operations: Equip the organization with modeling ... Global Procurement, Trade, and Ecosystem Strategy * Simplify and Strengthen the Partner Landscape:

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Algorithmic Trading information

See Ohio salary details

$70.8K

$81.5K

$89.4K

How much do algorithmic trading jobs pay per year?

As of Jul 16, 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.

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.
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:
M&S Engineer

Full-time

Posted 3 days ago

New


Job description

As a M&S Engineer with MTSI you will utilize your modeling and simulation experience in systems, subsystem, and component models for aerospace applications. This position is located in the Dayton, OH area.
Your essential job functions will include but may not be limited to:
  • You will be responsible for 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.
  • You will document all software and hardware characteristics and changes to existing and new simulation environments; test architecture design and test planning; experimental design and test execution; data collection and analysis; and report generation.
  • You will integrate models into complex simulation architectures, including engagement-level simulations, theater-level simulations, hardware-in-the-loop architectures.

Required:
  • Candidate must have 10-20 years of experience in the use of modeling and simulation software development frameworks.
  • Candidate must have experience with at least one programming/software development language (MATLAB/Simulink, C, C++, Python).
  • A basic understanding of aerospace system functions and dynamics, and how to model them, such as detailed sub-system models and flight dynamics models.
  • Candidate should have demonstrated abilities to lead engineering teams, solve difficult hardware and software integration challenges, and manage small projects. The candidate must be a motivated self-starter who is able to work both independently and in a collaborative team environment, often with minimal guidance and within rigid timelines.
  • Candidate must have the ability to interact with data suppliers, work well with coworkers and interface with customers, all at disparate locations.
  • Candidate must have outstanding skills in communicating complex technical issues and in providing comprehensive written, oral and/or digital products (including document organization and technical writing).
  • Candidate must have good analytic skills and the ability to apply these skills in a multi-tasking environment where more than one project may require his/her participation at a given time (typically one primary project and one or two ancillary projects).
  • Candidate should have familiarity with contractor and government roles in applying intelligence analysis to aerospace system development and acquisition.
  • Candidate must be located in or willing to relocate to the Dayton, Ohio area.

Desired:
  • Candidate should have professional training in modeling and simulation as related to space, missile and/or aerodynamic system performance.
  • Candidate should possess familiarity with the Department of Defense (DoD) and the United States Intelligence Community (IC).
  • An understanding of system component integration and the ability to model entire systems or individual components, such as sensors, GNC, and propulsion, to varying levels of detail will be expected.
  • Specific experience developing mathematical models of aerospace vehicle guidance navigation, and control components and algorithms.
  • Specific experience developing mathematical models of aerospace vehicle sensors spanning the electromagnetic spectrum.

Education Requirements:
  • B.S. degree in an engineering or physics discipline. (Required)
  • Master's degree in an engineering or physics discipline. (Desired

Clearance Requirements:
  • Current Secret Clearance required
  • TOP SECRET clearance with eligibility for Sensitive Compartmentalized Information (SCI) is desired.
  • U.S. Citizenship is required for this position.

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