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).