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Quantitative Trading Developer Jobs in Virginia (NOW HIRING)

... engineering support in the development and evaluation of complex risk management strategies for ... plans, and quantitative risk models * Support and participate in trade studies, decision tree ...

Our diverse and innovative team of professionals ranges from skilled trades to project managers ... and quantitative judgments concerning technical data. Uses personal computer in performance of ...

Our diverse and innovative team of professionals ranges from skilled trades to project managers ... and quantitative judgments concerning technical data. Uses personal computer in performance of ...

Our diverse and innovative team of professionals ranges from skilled trades to project managers ... and quantitative judgments concerning technical data. Uses personal computer in performance of ...

Our diverse and innovative team of professionals ranges from skilled trades to project managers ... and quantitative judgments concerning technical data. Uses personal computer in performance of ...

Our diverse and innovative team of professionals ranges from skilled trades to project managers ... and quantitative judgments concerning technical data. Uses personal computer in performance of ...

Our diverse and innovative team of professionals ranges from skilled trades to project managers ... and quantitative judgments concerning technical data. Uses personal computer in performance of ...

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Quantitative Trading Developer information

How much do quant trading programmers make?

Quantitative trading programmers typically earn between $100,000 and $200,000 annually, with experienced professionals and those at top firms earning higher salaries and bonuses. Compensation often includes base salary, performance bonuses, and profit sharing, especially for those with strong programming skills in languages like Python, C++, or Java and a background in finance or mathematics.

What are some common challenges faced by Quantitative Trading Developers when implementing trading algorithms in a live environment?

Quantitative Trading Developers often face challenges such as managing latency, ensuring data integrity, and handling real-time risk management when deploying algorithms in live markets. Transitioning from a simulation or backtest to a live trading environment can reveal issues like unexpected market conditions, slippage, or connectivity problems that may not have been apparent during development. Collaboration with traders, system engineers, and risk managers is essential to quickly diagnose and resolve production issues, making adaptability and strong communication skills crucial for success in this role.

What is a Quantitative Trading Developer?

A Quantitative Trading Developer is a professional who designs, develops, and implements automated trading strategies using mathematical models, statistical analysis, and programming skills. They work closely with quantitative analysts and traders to transform trading ideas into code that can execute trades in financial markets. These developers typically use programming languages like Python, C++, or Java to build high-performance trading systems that can handle large volumes of market data and execute trades with minimal latency. Their role is crucial in leveraging technology to gain a competitive edge in financial markets.

What is the difference between Quantitative Trading Developer vs Quantitative Analyst?

AspectQuantitative Trading DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, Mathematics; strong analytical skills
Work EnvironmentCollaborates with traders and developers; focuses on building trading systemsAnalyzes market data; develops models for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, proprietary trading firmsInvestment banks, asset management firms, hedge funds

In summary, Quantitative Trading Developers primarily focus on building and maintaining trading systems using programming skills, while Quantitative Analysts concentrate on developing models and analyzing data to inform trading decisions. Both roles are essential in quantitative finance but differ in their core responsibilities and skill sets.

What jobs pay 500,000 a year in the US?

In the US, highly compensated roles such as senior quantitative trading developers, hedge fund managers, and senior investment bankers can earn $500,000 or more annually, often through base salary, bonuses, and profit sharing. These positions typically require advanced skills in finance, programming, and data analysis, along with significant experience and sometimes professional certifications like CFA or FRM.

What job makes $10,000 a month without a degree?

A quantitative trading developer can potentially earn $10,000 or more per month through algorithmic trading, especially if they develop successful trading strategies and have strong programming skills in languages like Python or C++. Success in this field often depends on experience, performance, and understanding of financial markets, rather than formal degrees alone.

What are the key skills and qualifications needed to thrive as a Quantitative Trading Developer, and why are they important?

To thrive as a Quantitative Trading Developer, you need strong programming skills (especially in Python, C++, or Java), a solid background in mathematics or statistics, and typically a degree in computer science, engineering, or a related quantitative field. Familiarity with trading platforms, financial data APIs, version control systems like Git, and experience with low-latency systems or high-frequency trading infrastructure is highly valued. Analytical thinking, problem-solving, and effective teamwork are crucial soft skills for building robust and innovative trading solutions. These skills and qualities are vital for developing, testing, and deploying algorithms that perform efficiently and reliably in fast-paced financial markets.

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

In the field of quantitative trading development, top professionals such as senior quant developers or hedge fund technologists can earn $1,000,000 or more annually through base salary, bonuses, and profit sharing. These roles typically require advanced programming skills, experience with financial models, and often involve working in high-pressure, competitive environments. Compensation varies widely based on performance, firm size, and geographic location.
What cities in Virginia are hiring for Quantitative Trading Developer jobs? Cities in Virginia with the most Quantitative Trading Developer job openings:
Risk Management Analyst

Risk Management Analyst

Tecolote Research

VA โ€ข On-site

Full-time

Posted 29 days ago


Job description

Overview
Tecolote Research, Inc. is seeking a seasoned Risk Management Analyst provide expert-level systems engineering support in the development and evaluation of complex risk management strategies for defense and aerospace programs. This position requires a high degree of independence and leadership, including mentoring junior analysts and engineering staff in risk methodologies, tools, and best practices. The analyst will contribute technical insight to high-level program decision-making, conduct in-depth risk analyses, and prepare and present comprehensive risk traceability and rationale.
Responsibilities
  • Provide independent development, evaluation, and implementation of complex risk management strategies
  • Mentor and guide team members in performing root cause analysis, applying risk methodologies, and using risk tools
  • Develop risk statements, mitigation plans, and quantitative risk models
  • Support and participate in trade studies, decision tree development, and product review meetings
  • Present detailed risk assessments, traceability documentation, and rationale to senior leadership and stakeholders
  • Provide direct support and expert-level consultation in risk management to programs and customers

Skills Required
  • Bachelor's degree (BS/BA) in Business Management, Economics, Math, Engineering, or Economics
  • 12-15 years of applicable experience and 8-12 years of Government or aerospace industry experience
  • Demonstrated expertise in risk assessment, systems engineering, and risk-informed decision support
  • Proficient in the use of quantitative and qualitative risk tools and techniques
  • Strong leadership, mentoring, and communication skills
  • Must be a U.S. Citizen and able to obtain a government security clearance
  • Experience leading risk management functions on major defense or aerospace programs
  • Proficiency with advanced risk modeling tools (e.g., @RISK, Primavera Risk Analysis, Monte Carlo simulation)
  • Familiarity with DoD and government risk management frameworks and reporting requirements

Education
Bachelor's degree required, preferably in math, engineering, or the sciences.