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Quant Trading Jobs in Virginia (NOW HIRING)

$128K - $168K/yr

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)

Quantitative Analyst SETA

Arlington, VA · On-site

$195K - $300K/yr

Blue Sky Innovators is seeking a Quantitative Analyst SETA to join our team in Arlington, VA. The ... Understanding of diverse data sources across global economics, financial networks, trade flows ...

New

$109K - $149K/yr

Collaborate with quantitative researchers and traders to implement new strategies. * Troubleshoot, test, and maintain high-performance trading applications. * Stay updated with the latest ...

Quantitative Analyst SETA

Arlington, VA · On-site

$195K - $300K/yr

Blue Sky Innovators is seeking a Quantitative Analyst SETA to join our team in Arlington, VA. The ... Understanding of diverse data sources across global economics, financial networks, trade flows ...

New

Understanding of diverse data sources spanning global economics, financial networks, trade flows ... Experience in a high-paced private-sector quantitative production environment, such as systematic ...

Everforth ECS is seeking a Quantitative Analyst to work on-site in Arlington. VA. The successful ... Understanding of diverse data sources across global economics, financial networks, trade flows ...

... trade, counterparty, collateral, margin, and reference data used in risk analytics. • Design and execute model monitoring plans, produce performance monitoring reports, and respond to questions ...

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Quant Trading information

See Virginia salary details

$97.2K

$168.3K

$257.3K

How much do quant trading jobs pay per year?

As of Aug 28, 2026, the average yearly pay for quant trading in Virginia is $168,273.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,300.00 and $197,300.00 per year, depending on experience, location, and employer.

What is a quant trading job?

A Quant Trading job involves using mathematical models, statistical techniques, and computer algorithms to analyze financial markets and make automated trading decisions. Quant traders develop and implement strategies to identify profitable opportunities, often leveraging historical data and predictive analytics. They work in hedge funds, proprietary trading firms, and investment banks, typically focusing on high-frequency trading, market-making, or statistical arbitrage. Strong programming skills (Python, C++, or R) and a deep understanding of financial markets are essential for success in this field.

What are the key skills and qualifications needed to thrive in quant trading?

To thrive in Quant Trading, you need a strong quantitative background, mathematical modeling expertise, and advanced programming skills, typically supported by degrees in mathematics, statistics, physics, or computer science. Proficiency in programming languages such as Python, C++, or R, and experience with financial modeling platforms and data analysis tools are essential. Excellent problem-solving skills, attention to detail, and the ability to work under pressure make candidates stand out in this fast-paced environment. These competencies are crucial for developing, testing, and implementing trading strategies that drive profitability and manage risk in dynamic financial markets.

What are some typical challenges faced in quant trading?

Quant trading professionals often deal with challenges such as rapidly changing market conditions, the need to process and analyze vast amounts of data quickly, and fierce competition from other trading firms. The role requires staying ahead by constantly researching and updating trading algorithms to maintain profitability. Effective communication with portfolio managers, developers, and risk managers is also key in adapting strategies and sharing insights. While the pace can be intense, successfully meeting these challenges is both rewarding and central to career progression in the field.

How much do quant trading professionals make?

Quant trading professionals typically earn a base salary ranging from $100,000 to over $200,000 annually, with total compensation often including performance bonuses that can significantly increase earnings. Experienced quants with advanced skills in programming, mathematics, and finance can earn well above this range, especially at hedge funds and proprietary trading firms.

What are quant trading jobs?

Quant trading jobs involve developing and implementing mathematical models and algorithms to identify trading opportunities in financial markets. Professionals in these roles typically have strong skills in programming, statistics, and finance, and often use tools like Python, R, or MATLAB. These positions are common in hedge funds, investment banks, and proprietary trading firms, often requiring advanced degrees in quantitative fields.

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 job categories do people searching Quant Trading jobs in Virginia look for?

The top searched job categories for Quant Trading jobs in Virginia are:

Infographic showing various Quant Trading job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $168,273 per year, or $80.9 per hour.

Senior Software Engineer (Trading Core)

Hyphen Connect Limited

Remote

$128K - $168K/yr

Full-time

Re-posted 13 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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