Quantitative Researcher

Referment is partnering with a regulated digital asset trading and technology firm specializing in market-making, OTC brokerage, and derivatives to hire a Quant Researcher.

The Quantitative Researcher will play a key role in enhancing my clients trading strategies. They will develop data-driven models, optimize execution algorithms, and contribute to market-making efforts. Working closely with the Trading and HFT teams, the researcher will have a direct impact on the firm’s trading performance in the rapidly evolving digital asset space.

Key Responsibilities

• Develop Quantitative Models: Design models to improve trading strategies and risk management.
• Analyze Data: Extract insights from large datasets to inform trading strategies.
• Optimize Execution Algorithms: Fine-tune algorithms to reduce slippage and improve liquidity.
• Backtest Strategies: Ensure strategies perform well in live trading environments.
• Collaborate with Traders: Refine models in response to market conditions.
• Research New Opportunities: Identify innovative strategies and techniques for digital asset markets.

Required Qualifications

• Strong academic background in a quantitative field (e.g., mathematics, physics, computer science).
• Experience in quantitative research or analysis.
• Proficiency in at least one programming language (Python, Rust, C++, or Java).
• Hands-on experience with statistical modeling, machine learning, or algorithmic trading.
• Deep understanding of financial markets and market microstructure.
• Professional proficiency in English.

Preferred Qualifications

• Experience in digital assets or cryptocurrency trading.
• Knowledge of blockchain technology or DeFi protocols.
• Familiarity with options pricing and risk management.
• Proficiency in French (a plus).