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Quantitative Researcher

Referment
Department:Design
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Mid-Senior level
Estimated Salary:£60,000 - £90,000
Skills:
QUANTITATIVE RESEARCHDATA ANALYSISPROGRAMMINGSTATISTICAL MODELINGMACHINE LEARNINGALGORITHMIC TRADING
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Job Description

Posted on: March 12, 2025

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.

Originally posted on LinkedIn

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