Remote Quantitative Researcher Role

New

Skills

C++ Data Analytics Predictive Analytics Python Researcher Statistical Analysis

Join OctoHorizon as a Quantitative Researcher and help pioneer advanced algorithmic strategies in high-frequency trading (HFT). Work remotely with a global team of top researchers and engineers, leveraging mathematical precision and cutting-edge technology to identify and capitalize on ultra-short-term market inefficiencies. Contribute directly to live trading strategies in a flexible, merit-based, and intellectually stimulating environment.

Key Responsibilities
  • Research and develop high-frequency, alpha-generating trading strategies.
  • Analyze order book and tick-by-tick market data to identify patterns and anomalies.
  • Model price dynamics, liquidity, and volatility on sub-second horizons.
  • Design, implement, and backtest strategies with realistic execution constraints.
  • Collaborate with engineering to deploy low-latency models in live markets.
  • Evaluate and optimize strategy performance; diagnose and resolve anomalies.
  • Create tools for real-time monitoring and advanced data analytics.
  • Continuously improve execution speed, model robustness, and scalability.
Required Skills & Qualifications
  • Advanced degree (MSc/PhD) in Mathematics, Statistics, Physics, Computer Science, or Engineering.
  • Proven experience in high-frequency trading or ultra-low-latency algorithmic research.
  • Expertise in quantitative modelling, statistical analysis, and predictive analytics.
  • Deep understanding of market microstructure, order flow, and execution mechanics.
  • Programming proficiency in Python and C++.
  • Experience with high-volume, high-frequency datasets.
  • Ability to work independently in a fully remote, fast-paced environment.
  • Track record of deploying HFT or ultra-short horizon trading strategies live.
  • Familiarity with crypto, FX, equities, or futures markets.
  • Knowledge of latency arbitrage, co-location strategies, or execution algorithms is a plus.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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