Quantitative Researcher

Referment; United Kingdom; Remote; GBP 60,000 - 80,000

Job description

This range is provided by Referment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Referment is partnering with a regulated digital asset trading and technology firm, specializing in market-making, OTC brokerage, and derivatives, to hire a Quantitative Researcher. This is an exceptional opportunity to join a leading firm that offers excellent compensation and the flexibility of remote work.

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 enhance liquidity.
• Backtest Strategies: Ensure strategies perform well in live trading environments.
• Collaborate with Traders: Refine models based on market conditions and feedback.
• Research New Opportunities: Identify innovative strategies and techniques for the digital asset markets.

Required Qualifications:

• Strong academic background in mathematics, physics, computer science, or a related field.
• Experience in quantitative research or analysis.
• Proficiency in at least one programming language (Python, Rust, C++, 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).

This role offers exceptional compensation and the ability to work remotely, making it an ideal opportunity for top talent seeking to make a significant impact in the digital asset space.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Investment Management