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Remote Algorithmic Trading Quant Jobs in Washington

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... expertise and quantitative analysis to make recommendations that improve data curation and ... Algorithms * Automated workflows * Scientific exploitation methods * Understanding of: * Remote ...

GRVTY

Senior Scientist

Herndon, VA · On-site +1

$94K - $128K/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 ...

GRVTY

Senior Scientist

Herndon, VA · On-site +1

$150K - $235K/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 ...

Leidos

Data Scientist

Bethesda, MD · On-site +1

The percentage of remote work will vary based on client requirements/deliverables Fun stuff you ... Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics ...

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · On-site +1

$160K - $190K/yr

... expertise and quantitative analysis to make recommendations that improve data curation and ... Algorithms * Automated workflows * Scientific exploitation methods * Understanding of: * Remote ...

iDirect GOVERNMENT

Senior FPGA Engineer

Herndon, VA · On-site +1

$91K - $159K/yr

This position is based out of our Herndon, VA location with the option of a remote work schedule ... Ability to plan/perform analysis, studies/trade-offs in support of subsystem specification and ...

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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?

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 Washington? The most popular types of Algorithmic Trading Quant jobs in Washington are:
What are popular job titles related to Remote Algorithmic Trading Quant jobs in Washington? For Remote Algorithmic Trading Quant jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Algorithmic Trading Quant jobs in Washington look for? The top searched job categories for Remote Algorithmic Trading Quant jobs in Washington are:
Remote Algorithmic Trading Quant jobs near you
Infographic showing various Remote Algorithmic Trading Quant job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Imagery Scientist (EO) - Senior

GRVTY

Falls Church, VA • Remote

$97K - $133K/yr

Other

Re-posted 18 days ago

Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced imagery scientist to provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning algorithm testing and evaluation.  The ideal candidate is an expert imagery scientist with a passion for advanced scientific problem solving, imagery exploitation, and operational intelligence support. This role will drive solutions informed by specific phenomenology limitations and advantages of the sensors and platforms in mind.

What You'll be Owning

  • Assist the EO lead in conducting assessment of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms
  • Assess potential differences in metadata, data format, and data structure characteristics in regard to changes to databases, schemas, APis, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
  • Determine how to acquire new data, potential latency associated with acquisition, data formats, and security domains
  • Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds.

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • 4+ years of expert EO imagery exploitation and imagery science experience with understanding of collection, phenomenology, image formation process, and exploitation products.
  • Demonstrated experience in:
    • EO collection systems
    • Remote sensing phenomenology
    • Image formation processes
    • Exploitation products and methodologies
  • Experience exploiting EO imagery to:
    • Detect
    • Identify
    • Locate objects of interest
  • Experience developing and evaluating:
    • Algorithms
    • Scientific workflows
    • Exploitation methodologies
  • Experience automating scientific processing workflows
  • Experience developing and evaluating:
    • Algorithms
    • Automated workflows
    • Scientific exploitation methods
  • Understanding of:
    • Remote sensing principles
    • EO imagery processing
    • Advanced exploitation methods
    • Sensor/platform limitations and advantages
  • Proven ability to communicate technical concepts to:
    • Technical audiences
    • Non-technical stakeholders
    • Intelligence users

What Would be Nice to Have

  • Experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems

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