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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)

$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 ...

Candidate must have a quantitative degree- master's degree required but Doctorate is preferred ... Providing analytics support for trading and hedging activities. * Working under limited direction ...

Support and participate in trade studies, decision tree development, and program/product review meetings * Prepare and present risk traceability, risk rationale, and quantitative risk analysis

... trade studies and decision tree development * Support program/product review meetings with analysis and risk recommendations * Assist in the development and application of Quantitative Risk Analysis ...

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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 Jun 17, 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 jobs pay 500,000 a year in the US?

In the US, highly compensated roles such as senior quantitative traders, hedge fund managers, and certain investment bankers can earn $500,000 or more annually, often through a combination of base salary, bonuses, and profit sharing. These positions typically require advanced skills in finance, mathematics, programming, and significant experience in the industry.

How much do quant traders make?

Quant traders typically earn between $100,000 and $300,000 annually, with top performers and those at hedge funds or proprietary trading firms earning significantly more, often exceeding $1 million including bonuses. Compensation depends on experience, performance, and the firm’s size, and often includes bonuses tied to trading results and profit sharing.

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.

Is 30 too late to become a quant?

Quantitative trading is a field that values skills and knowledge over age, and many successful quants have transitioned into the role later in their careers. Gaining expertise in programming, mathematics, and finance through self-study or advanced degrees can enable a career change at age 30 or older.

What jobs make $1,000,000 a year?

In quantitative trading, some senior traders, portfolio managers, and hedge fund executives can earn $1,000,000 or more annually through base salaries, bonuses, and profit sharing. Success in these roles typically requires advanced quantitative skills, experience, and a strong track record of generating profits in financial markets.

What are the key skills and qualifications needed to thrive in the Quant Trading position, and why are they important?

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 roles?

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.

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 Quant Trading jobs in Virginia? For Quant Trading jobs in Virginia, the most frequently searched job titles 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 June 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote 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

Other

Posted 23 hours 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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