Research & Development Engineer

As a Quantitative R&D Engineer, you’ll join the team responsible for designing, validating, and scaling trading strategies that interact directly with crypto markets.

You’ll work at the intersection of statistics, code, and markets — exploring data, prototyping logic, and building tools that convert ideas into capital allocation engines.

What You’ll Work On

• Analyze on-chain and market data to identify inefficiencies and behavioural patterns.
• Develop and prototype systematic trading strategies using statistical and ML-based techniques.
• Contribute to signal research, backtesting infrastructure, and strategy evaluation frameworks.
• Monitor and interpret DeFi protocol mechanics (AMMs, perps, lending markets) for alpha generation.
• Collaborate with engineers to turn research into production-grade, automated trading systems.
• Explore MEV, cross-chain arbitrage, and predictive modelling for on-chain behaviour.
  
  

Who You Are

• You’re curious, analytical, and eager to work where code meets markets.
• You enjoy designing systems that act autonomously and uncover edge in complex, noisy data.
• You’re comfortable working in an experimental, high-ownership environment.
  
  

Ideal Traits

• Proficiency in Python and experience working with data (Pandas, NumPy, etc.)
• Understanding of probability, statistics, or ML concepts.
• Strong interest in markets, trading, or algorithmic systems.
• Self-driven and comfortable with ambiguity, iteration, and fast learning cycles.
  
  

Bonus Points For

• Experience with backtesting, feature engineering, or strategy evaluation.
• Familiarity with crypto primitives (AMMs, perps, mempools, MEV, etc.)
• Projects or research involving trading bots, alpha signals, or data modelling.
• Use of on-chain analytics tools (Dune, The Graph, Nansen, etc.)
• Participation in hackathons, quant competitions, or open-source work.
  
  

What You’ll Gain

• Work on live systems that deploy real capital in 24/7 crypto markets.
• Access to proprietary infrastructure, backtesting tools, and strategy libraries.
• Mentorship from experienced quants, traders, and DeFi engineers.
• Freedom to explore, test, and scale your ideas into real-world performance.
• A high-trust, fast-moving team focused on pushing boundaries.
  
  

Skills:- Python, pandas, Blockchain, GenAI and Generative AI