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Remote Algorithmic Trading Quant Jobs in Virginia

Hyphen Connect Limited

$128.10K - $168.90K/yr

Work with the Quant team to develop, test, and refine our various trading algorithms ... REMOTE

TalentRemedy

Technical Program Manager

Herndon, VA · On-site +1

$132.70K - $171.70K/yr

Ability to understand system architecture, APIs, pipelines, and algorithmic trade-offs; comfortable ... Geospatial analytics, remote sensing, or high-throughput data platforms. Benefits A compensation ...

Skyline Scientific Inc

Senior Data Scientist

Mclean, VA · Remote

$150K - $200K/yr

... for 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 ...

iDirect GOVERNMENT

Senior FPGA Engineer

Herndon, VA · On-site +1

$133.70K - $171.70K/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 ...

Conflux Systems Inc

AI Engineer

Richmond, VA · On-site +1

$52.88/hr

Richmond, VA 1001 East Broad Street, LOC100050 Old City Hall, LOC9 Duration: 3 months Remote Need ... Develop predictive models and machine learning algorithms that clinicians and staff will use to ...

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Remote Algorithmic Trading Quant information

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 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 most commonly searched types of Algorithmic Trading Quant jobs in Virginia? The most popular types of Algorithmic Trading Quant jobs in Virginia are:
What are popular job titles related to Remote Algorithmic Trading Quant jobs in Virginia? For Remote Algorithmic Trading Quant jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Algorithmic Trading Quant jobs in Virginia look for? The top searched job categories for Remote Algorithmic Trading Quant jobs in Virginia are:
What cities in Virginia are hiring for Remote Algorithmic Trading Quant jobs? Cities in Virginia with the most Remote Algorithmic Trading Quant job openings:
Remote Algorithmic Trading Quant jobs near you

Senior Software Engineer (Trading Core)

Hyphen Connect Limited

Remote

$128.10K - $168.90K/yr

Other

Posted 15 days ago

Job description

We are working with a decentralised exchange which looks to innovate on providing the best of CEXs and DEXs, focusing on building a safe, simple and scalable platform for trading. They differentiate themselves by offering institutional level systems and support whilst remaining on-chain and decentralised.

We are in search of a highly adept Trading Systems Engineer for the core Engineering team to strengthen the platform's performance, scalability, and observability. The ideal candidate will have a strong background in low-latency trading systems and experience supporting clients like quant funds and market makers in integrating with APIs (both REST and WebSocket).

As the Trading Gateway Engineer, responsibilities include implementing core connectivity systems to expand the trading engine into a global, low-latency network. This involves building foundational data distribution channels and improving their throughput and latency.

Successful candidates will engage with clients' developers and project managers, addressing inquiries and resolving issues. Collaboration with the Gateway team and Trading Engineering will be essential to troubleshoot API and trading issues while contributing to the overall Gateway roadmap. Additionally, work with the Product Engineering team to enhance the SDK for blockchain signatures used by API traders.

What you'll be doing:

  • Develop and optimize the core matching engine and risk engine for the exchange, ensuring high performance and low latency.
  • Write highly reliable, production-ready code that guarantees the financial safety and integrity of computations.
  • Investigate and debug complex issues through thorough analysis of logs.
  • Create and maintain comprehensive unit tests and advanced integration tests to validate the exchange's financial computational correctness.
  • Work with the Quant team to develop, test, and refine our various trading algorithms.
  • Continuously improve and refine the trading core to meet evolving business and technical requirements.
  • Stay updated with the latest advancements in HFT systems and low-latency trading technologies.

What we're looking for:

  • Minimum of 7 years of experience in software engineering, with at least 3 years focused on high-frequency trading (HFT) systems.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience in building and optimizing low-latency trading infrastructure. Proficient in low-latency message bus systems such as Aeron or Chronicle Queue.
  • Strong proficiency in Golang and Solidity. Expertise in deterministic coding and zero garbage-collection techniques.
  • Exceptional debugging and troubleshooting skills, with the ability to analyze complex logs and traces to identify and resolve issues.
  • Strong emphasis on writing unit tests, integration tests, and other advanced testing methodologies to ensure financial computational correctness.
  • Experience in the financial technology industry, particularly in high-frequency trading or crypto exchanges.
  • Experience with real-time data processing systems and streaming technologies.

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