Low-Latency Quant Trading Engineer

Lamwork

United States

On-site

USD 90,000 - 130,000

Full time

14 days+

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Job summary

Lamwork is looking for an Algorithmic Trading Developer skilled in low-latency Java and C++ programming, alongside expertise in statistical modeling using Python and R. Candidates will be responsible for developing robust trading platforms that execute strategies in live markets, deploying automated testing frameworks to ensure system integrity.

The ideal applicant will analyze data and collaborate with quantitative researchers to optimize trading strategies while ensuring adherence to regulatory standards. This position offers a dynamic environment that fosters innovation in the trading domain.

Qualifications

  • Expertise in low-latency programming is necessary.
  • Strong analytical skills are crucial for data analysis.
  • Familiarity with automated testing frameworks is required.

Responsibilities

  • Develop trading platform code to execute strategies.
  • Deploy frameworks for system validation before release.
  • Analyze live algo data to improve strategy performance.
  • Coordinate with researchers to enhance market-making.
  • Ensure compliance with market regulations.

Skills

Low-Latency Java Programming
C++ Programming
Python for Statistical Modeling
Time Series Databases (Q/KDB)
Market Microstructure Knowledge
Equity Market Knowledge
CI/CD
Automated Testing Frameworks
Analytical Reasoning
Collaboration
Written Communication
Attention to Detail
Adaptability

Education

Chartered Financial Analyst (CFA)
Financial Risk Manager (FRM)
Certificate in Quantitative Finance (CQF)
Series 7

Job description

Lamwork is looking for an Algorithmic Trading Developer skilled in low-latency Java and C++ programming, alongside expertise in statistical modeling using Python and R. Candidates will be responsible for developing robust trading platforms that execute strategies in live markets, deploying automated testing frameworks to ensure system integrity.

The ideal applicant will analyze data and collaborate with quantitative researchers to optimize trading strategies while ensuring adherence to regulatory standards. This position offers a dynamic environment that fosters innovation in the trading domain.

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