High Frequency Trader / Quantitative Researcher - Futures
Key Responsibilities:
Research and develop high-frequency trading strategies across major futures exchanges (e.g., CME, ICE, etc,.).
Conduct tick-level data analysis to identify short-term alpha signals and market inefficiencies.
Optimize strategies for latency, execution quality, and risk-adjusted returns.
Actively monitor and manage live trading strategies, making real-time decisions based on market conditions.
Collaborate with engineering teams to improve infrastructure, data pipelines, and execution systems.
Continuously refine models and parameters based on performance metrics and market feedback.
Required Qualifications:
2+ years of experience in a buyside prop trading or market-making environment.
Strong proficiency in C++ and experience working in low-latency Linux environments.
Deep understanding of tick data, market microstructure, and exchange protocols.
Demonstrated success in alpha generation and strategy deployment in futures markets.
Familiarity with backtesting frameworks, simulation environments, and performance tuning.
Strong quantitative and statistical skills; Python or R experience is a plus.
Preferred Qualifications:
Experience with real-time risk management and portfolio optimization.
Knowledge of exchange-specific nuances and co-location setups.
Ability to work independently and thrive in a fast-paced, performance-driven culture.
Compensation:
Highly competitive base salary + PnL-based bonus. Total compensation aligned with experience and contribution.
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