Remote Senior Algo Trader – ML & Low-Latency,Profit Sharing

Placements24

United States

Remote

USD 150,000 - 250,000

Full time

5 days ago
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Benefits offered by this job

Profit-sharing bonuses
Health benefits
Fully remote
Professional growth
State-of-the-art trading technology
Flexible hours for global teams
Discretionary bonuses

Job summary

Placements24 is recruiting a Senior Algorithmic Trader for a fully remote trading desk. You will design, back-test, and deploy high-frequency strategies across equities, futures, and FX, collaborating with quants and engineers.

You will monitor live performance, manage risk, and push the boundaries of trading technology with ML/AI methodologies while maintaining comprehensive trade records and contributing to firm strategy discussions.

Qualifications

  • Master's or PhD in a quantitative field.
  • 5+ years in algorithmic trading or similar hedge fund/prop trading.
  • Proven track record of profitable strategies.
  • Strong C++/Python and market microstructure knowledge.

Responsibilities

  • Design, back-test, and deploy algorithmic trading strategies.
  • Monitor real-time performance and optimize parameters.
  • Implement risk controls and compliance with firm policies.
  • Collaborate with quantitative researchers and software engineers to enhance trading systems.
  • Research and experiment with ML and AI applications for trading.
  • Maintain detailed records of trading activity and performance analysis.
  • Contribute to trading strategy discussions and IP development.

Skills

C++ programming
Python programming
Machine learning
Low-latency trading
Quantitative research

Education

Master's or Ph.D. in quantitative discipline

Job description

Placements24 is recruiting a Senior Algorithmic Trader for a fully remote trading desk. You will design, back-test, and deploy high-frequency strategies across equities, futures, and FX, collaborating with quants and engineers.

You will monitor live performance, manage risk, and push the boundaries of trading technology with ML/AI methodologies while maintaining comprehensive trade records and contributing to firm strategy discussions.

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