ArcedgeArcedgeArcedge

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Quantitative Research

What you’ll do

  • Turn observations into trading models
  • Build and test strategies
  • Identify where edge is lost
  • Analyze competitors
  • Run realistic backtests (fees, slippage, latency)
  • Hand off strategies to production (Python → engineering)
  • Improve existing strategies

Requirements

  • 3+ years in quant / trading
  • Experience with strategies that worked in practice
  • Strong statistics background
  • Python (data, backtesting, tick/orderbook)
  • Understanding of overfitting and biases
  • Ability to find patterns in data
  • High level of independence

Nice to have

  • Crypto / orderbook / on-chain data
  • HFT / market microstructure
  • Reverse engineering of strategies
  • Basic understanding of Rust

Hiring process

  1. 01Screening (30 min)
  2. 02Technical interview (60 min)
  3. 03Take-home assignment (3–4 days)
  4. 04Final interview with founder

Contact us

Tell us about your quant research background and what you’d bring to the team.

arcedgehr@strategy3.work