Quantitative Researcher at Liz S-Headhunter

This Quantitative Researcher role at Liz S-Headhunter requires a highly skilled professional with expertise in designing and implementing advanced trading strategies within cryptocurrency markets, emphasizing technical proficiency, analytical depth, and practical experience across various asset classes.

• Developing and refining quantitative trading strategies including market making, arbitrage, and statistical approaches for spot, perpetual, options, and DeFi assets.
• Conducting in-depth market microstructure analysis and building proprietary signals or models using price action, orderbook dynamics, and fund flows.
• Performing rigorous backtesting and simulations to evaluate performance metrics such as PnL, risk management, and slippage, followed by live deployment oversight.
• Collaborating effectively with trading, risk management, and infrastructure teams to enhance strategy robustness and profitability.

As a headhunting firm, Liz S-Headhunter likely aims to identify top-tier quantitative researchers with a strong background in cryptocurrency markets to place them in high-opportunity roles, possibly for clients in the blockchain or fintech sector. Their intent is to attract candidates who can innovate and execute complex strategies in volatile environments, focusing on proven live trading performance and expertise in high-frequency trading (HFT) to capitalize on emerging trends in DeFi and cross-exchange arbitrage, indicating a demand for versatile professionals who can adapt to rapid market changes and contribute to scalable, profitable systems.

Interviewers at Liz S-Headhunter will prioritize candidates with a demonstrated track record in developing and deploying quantitative trading strategies, strong technical skills in Python, C++, or Rust, and experience collaborating with cross-functional teams. They will focus on assessing problem-solving abilities, adaptability to remote work settings, and the capacity to handle latency-sensitive systems, ensuring candidates can deliver robust models under pressure.