Algorithmic Trading

Lamwork; United States; On-site; USD 90,000 - 130,000; Full time

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

Algorithmic Trading professionals build and optimize automated systems that execute trades using quantitative models, low‑latency programming, and statistical analysis. Explore the career path and job requirements.

Algorithmic Trading Key Responsibilities

• Develop low-latency trading platform code that reliably executes strategies across live equity markets.
• Deploy automated testing frameworks to validate system functionality, throughput, and capacity before production release.
• Analyze data from live algo instances and back‑test results to isolate execution inefficiencies and improve strategy behavior.
• Coordinate with quantitative researchers on systematic market‑making and profitability enhancement projects.
• Ensure continuous compliance with regulatory obligations, including applicable market conduct rules and internal risk management policies.

Algorithmic Trading Required Skills

• Hard Skills: Low‑Latency Java and C++ Programming, Python and R for Statistical Modeling, Time Series Databases (Q/KDB), Market Microstructure and Equity Market Knowledge, CI/CD and Automated Testing Frameworks
• Soft Skills: Analytical Reasoning, Collaboration, Written Communication, Attention to Detail, Adaptability

Algorithmic Trading Career Path

• Junior Algorithmic Trading Developer
• Algorithmic Trading Developer
• Senior Algorithmic Trading Developer
• Lead Quantitative Strategist

Algorithmic Trading Certifications

• Chartered Financial Analyst (CFA) – strong foundation in quantitative investment analysis and markets
• Financial Risk Manager (FRM) – validates risk modeling skills valued in systematic trading contexts
• Certificate in Quantitative Finance (CQF) – covers derivatives pricing, machine learning, and algo strategy design
• Series 7 (General Securities Representative) – required or expected at many U.S.-registered trading operations