I am speaking on behalf of my client who are a data-driven trading firm operating at the forefront of the digital asset revolution.
With a strong emphasis on research and cutting-edge technology, they specialize in providing deep liquidity and efficient pricing across global cryptocurrency markets.
Their mission is to create transparent, resilient, and scalable trading systems for the fast-evolving world of digital assets.
The Role
They are seeking a QuantitativeResearcher to join their trading team and drive the development of high-performance market-making strategies in the crypto space.
You’ll work at the intersection of financial theory, statistical modeling, and high-frequency trading, contributing directly to strategy design, signal generation, and performance optimization.
Key Responsibilities
Research and design market-making algorithms for spot and derivatives crypto markets
Analyze order book dynamics, market microstructure, and liquidity patterns
Develop predictive models using statistical and machine learning techniques
Conduct backtesting and simulation of trading strategies using historical and live data
Collaborate closely with developers and traders to integrate research into production
Continuously monitor and refine strategies based on market conditions and performance metrics
Requirements
Advanced degree (Master’s or PhD) in a quantitative field (e.g., Mathematics, Physics, Statistics, Computer Science)
Strong programming skills in Python, C++, or Rust
Experience working with large, noisy datasets in real-time or near real-time environments
Deep understanding of market-making, execution algorithms, and crypto market microstructure
Prior experience in a trading or quantitative research role (crypto or traditional markets)
Ability to communicate complex ideas clearly and collaborate across teams
Nice to Have
Experience in high-frequency trading (HFT) environments
Familiarity with exchange APIs (e.g., Binance, Deribit, Coinbase Pro, etc.)
Knowledge of DeFi protocols and on-chain data analysis
Prior contributions to open-source trading or data science libraries
If you think this sounds like the role for you please apply or reach out directly to Ben Adshead on LinkedIn.
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- Ljbffr H&P ExecutiveSearch Paris92210 Autre(s) 0 mois