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Remote Algorithmic Trading Quant Jobs in Ohio (NOW HIRING)

Senior Scientist

Dayton, OH · Remote

$88K - $121K/yr

Lead research and development of advanced algorithms for OPIR and EO/IR remote sensing systems ... to trade studies and capability assessments. * Prepare and deliver technical briefings, findings ...

Senior Scientist

Dayton, OH · Remote

$85K - $116K/yr

... remote sensors, coordinating priorities across multiple systems * Test and evaluate emerging EO/IR algorithms, tools, and exploitation platforms; and help develop new trade studies and capability ...

Senior Scientist

Dayton, OH · On-site +1

$88K - $121K/yr

Lead research and development of advanced algorithms for OPIR and EO/IR remote sensing systems ... to trade studies and capability assessments. * Prepare and deliver technical briefings, findings ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud ...

Data Scientist

Dayton, OH · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0244150 Location: Dayton,OH,US Share job via: Share Data Scientist The ... You'll develop algorithms and systems and use the right combination of tools and frameworks to turn ...

... quantitative targets for the assigned channels and productsin a profitable way, with a focus on ... The work model for the role is : #LI-Remote with a preference for Eastern or Central region in the ...

Whether you've got deep experience in commercial real estate, skilled trades or technology, or you ... Requires analytical and quantitative skills with proven experience in developing strategic ...

Each day, you will achieve both qualitative and quantitative sales targets to ensure sustainable ... While this is a remote position, successful candidates will be located in the Columbus, OH trade ...

Remote Algorithmic Trading Quant information

What is a Remote Algorithmic Trading Quant?

A Remote Algorithmic Trading Quant is a quantitative analyst who develops, tests, and implements mathematical models and trading algorithms for financial markets while working off-site or from home. They analyze large datasets, identify trading opportunities, and use programming languages like Python or C++ to automate trading strategies. Their work is vital for firms seeking to gain a competitive edge through data-driven, automated trading, and being remote allows them to collaborate with global teams or firms without being physically present in a traditional office setting.

What is the difference between Remote Algorithmic Trading Quant vs Remote Quantitative Analyst?

AspectRemote Algorithmic Trading QuantRemote Quantitative Analyst
CredentialsDegree in finance, computer science, or mathematics; coding skills; experience with trading algorithmsDegree in finance, economics, mathematics; statistical and analytical skills; programming knowledge
Work EnvironmentFinancial firms, hedge funds, trading firms; focus on developing and testing trading algorithmsFinancial institutions, investment firms; focus on data analysis, modeling, and risk assessment
Industry UsageCommon in trading and hedge fund industriesWidespread across finance, banking, and investment sectors

The Remote Algorithmic Trading Quant specializes in developing and implementing trading algorithms within trading firms, focusing on automation and execution strategies. In contrast, the Remote Quantitative Analyst often performs broader data analysis and modeling tasks across various financial sectors. While both roles require strong quantitative skills and programming knowledge, their primary focus and work environments differ, aligning with their specific industry functions.

What are the key skills and qualifications needed to thrive as a Remote Algorithmic Trading Quant, and why are they important?

To thrive as a Remote Algorithmic Trading Quant, you need advanced quantitative skills, strong programming ability (often in Python, C++, or R), and a solid background in mathematics, statistics, or related fields—typically supported by a relevant degree. Familiarity with trading platforms, financial data feeds, and version control systems, as well as experience with backtesting frameworks, is highly valued. Exceptional problem-solving, attention to detail, and effective remote communication are crucial soft skills for success in this position. These skills and qualities enable the development, testing, and deployment of robust trading strategies in a fast-paced, data-driven environment.

What are some common challenges faced by remote algorithmic trading quants, and how can they be addressed?

Remote algorithmic trading quants often face challenges such as ensuring robust communication with team members, maintaining access to secure and reliable data feeds, and collaborating effectively across time zones. To address these, quants typically use advanced collaboration tools, participate in regular virtual meetings, and follow strict cybersecurity protocols. Building strong documentation and leveraging version-control systems like Git can also help maintain workflow efficiency and code integrity while working remotely.
What are the most commonly searched types of Algorithmic Trading Quant jobs in Ohio? The most popular types of Algorithmic Trading Quant jobs in Ohio are:
What are popular job titles related to Remote Algorithmic Trading Quant jobs in Ohio? For Remote Algorithmic Trading Quant jobs in Ohio, the most frequently searched job titles are:
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What cities in Ohio are hiring for Remote Algorithmic Trading Quant jobs? Cities in Ohio with the most Remote Algorithmic Trading Quant job openings:

Senior Scientist

GRVTY

Dayton, OH • Remote

$88K - $121K/yr

Other

Posted 22 days ago


Job description

What Impact You'll Have

GRVTY is looking for a Senior Scientist to support research, algorithm development, and advanced analytics for overhead persistent infrared and electro-optical/infrared sensing systems. This is a technically demanding role centered on OPIR phenomenology, optical signature characterization, and sensor performance analysis in direct support of national security missions at a customer facility in Dayton, Ohio.

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics. The work is fast-paced and mission-driven - requirements shift, collection windows are finite, and the analysis you produce informs real decisions. We are looking for someone who has done this work before, can operate with autonomy, and brings enough depth in OPIR to hit the ground running.

What You'll be Owning

  • Lead research and development of advanced algorithms for OPIR and EO/IR remote sensing systems, with emphasis on target detection, tracking, location, and characterization.
  • Design, implement, and evaluate algorithms for EO/IR sensor and camera system performance - including noise modeling, radiometric calibration, and sensitivity analysis.
  • Analyze optical signature data to extract target phenomenology, characterize signatures, and generate technically rigorous intelligence insights.
  • Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and data streams.
  • Support the full TCPED process for OPIR - from tasking and collection planning through exploitation and dissemination.
  • Review and validate analytic products for technical accuracy and mission relevance; identify gaps and recommend improvements.
  • Maintain detailed, reproducible analysis logs documenting workflows, assumptions, methodologies, and results.
  • Respond to real-time EO/IR analysis requests and adapt quickly to evolving mission priorities.
  • Test and evaluate emerging algorithms, exploitation tools, and analytic platforms; contribute to trade studies and capability assessments.
  • Prepare and deliver technical briefings, findings, and written reports to customer and program stakeholders.
  • Mentor junior analysts; contribute to analytic standards and methodology development across the team.

What You Must Have

  • Active Top Secret clearance with ability to obtain SCI and CI polygraph.
  • Bachelor's degree in Image Science, Engineering, Applied Physics, Atmospheric Science, Applied Mathematics, or a closely related field.
  • 5+ years of hands-on OPIR experience, with demonstrated work in EO/IR phenomenology, optical signature analysis, or sensor performance assessment.
  • Experience with image processing and digital signal processing tools for short-wave and mid-wave infrared data.
  • Experience applying algorithms for target detection and background suppression in OPIR or EO/IR contexts.
  • Familiarity with multi-data stream ingest and analysis techniques.
  • Working knowledge of the TCPED process as applied to OPIR collection and exploitation.
  • Strong documentation and communication skills - you will be writing technical reports and briefing customers, not just doing the analysis.
  • Able to work independently and manage priorities without significant hand-holding.

What Would be Nice to Have

  • Master's degree in Image Science, Engineering, Applied Physics, Applied Mathematics, or a related field.
  • Direct experience with optical signature modeling and EO/IR phenomenology characterization.
  • Proficiency in Python, MATLAB, IDL, or C/C++ for algorithm development or data analysis.
  • Experience with geospatial and exploitation tools such as ArcGIS, Google Earth, Opticks, or Palette.
  • Background in radiometric calibration, sensor noise modeling, or end-to-end sensor performance modeling.
  • Experience supporting collection planning and requirements definition for remote sensing systems.
  • Familiarity with AI/ML-enhanced analytics as applied to remote sensing or signature exploitation.
  • Prior experience in a defense or intelligence community environment supporting classified programs.