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Remote Quant Trading Jobs in Virginia (NOW HIRING)

Hyphen Connect Limited

$128K - $168K/yr

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

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Remote Quant Trading information

How do remote quant traders typically collaborate with other team members and stay aligned on trading strategies?

Remote quant traders often use digital communication platforms such as Slack, Zoom, and shared code repositories to collaborate closely with portfolio managers, developers, and data scientists. They participate in regular virtual meetings to discuss market conditions, strategy adjustments, and backtesting results. Staying proactive with clear documentation and frequent updates is crucial for maintaining alignment, as quant trading teams rely heavily on transparent communication to ensure strategies are robust and risks are well-managed.

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

To thrive as a Remote Quant Trader, you need strong quantitative analysis skills, programming expertise (often in Python, R, or C++), and a background in mathematics, statistics, or finance, typically supported by an advanced degree. Familiarity with trading platforms, algorithmic trading systems, and data analysis tools such as MATLAB or Bloomberg Terminal is common, and certifications like CFA can be advantageous. Exceptional problem-solving, decision-making, and self-motivation are crucial soft skills for excelling in a remote and fast-paced environment. These abilities ensure effective strategy development, rapid adaptation to market changes, and sustained profitability when working independently.

What is the difference between Remote Quant Trading vs Remote Quant Researcher?

AspectRemote Quant TradingRemote Quant Researcher
Primary FocusDeveloping and implementing trading strategies to generate profitsConducting research to create new quantitative models and algorithms
Required SkillsProgramming, statistical analysis, market knowledgeMathematics, data analysis, model development
Work EnvironmentFinancial firms, hedge funds, trading desksResearch institutions, financial firms, academia
CredentialsQuantitative degrees, certifications like CFA or CQFAdvanced degrees in math, physics, or related fields

Remote Quant Trading involves applying quantitative models to execute trades and generate profits, often requiring real-time decision-making. Remote Quant Researcher focuses on developing new models and algorithms through research, typically in a more exploratory environment. Both roles require strong quantitative skills and programming expertise, but their core objectives differ: trading is profit-driven, while research emphasizes innovation and model creation.

What is remote quant trading?

Remote quant trading refers to quantitative trading roles that can be performed from any location, rather than requiring work at a specific office. Quantitative traders use mathematical models, statistical analysis, and algorithms to identify trading opportunities and make decisions in financial markets. By working remotely, they leverage technology to access trading platforms, data feeds, and collaboration tools. This setup allows greater flexibility and can attract talent from a global pool, but it also requires strong self-discipline and reliable internet connectivity.
What are the most commonly searched types of Quant Trading jobs in Virginia? The most popular types of Quant Trading jobs in Virginia are:
What are popular job titles related to Remote Quant Trading jobs in Virginia? For Remote Quant Trading jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Quant Trading jobs in Virginia look for? The top searched job categories for Remote Quant Trading jobs in Virginia are:
What cities in Virginia are hiring for Remote Quant Trading jobs? Cities in Virginia with the most Remote Quant Trading job openings:
Remote Quant Trading jobs near you

Senior Software Engineer (Trading Core)

Hyphen Connect Limited

Remote

$128K - $168K/yr

Other

Posted 27 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.

#LI-REMOTE

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