Quantitative Researcher
4 weeks ago
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).
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