Quantitative Trader - Crypto Market Making

Alexander Chapman

New York (NY)

Hybrid

USD 180,000 - 240,000

Full time

8 days ago
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Job summary

Alexander Chapman is seeking a Quantitative Trader to join its market-making team. The role focuses on live crypto market-making, pricing optimization, sizing, hedging and execution across global venues.

Location: London / Dubai / New York | Hybrid. The candidate will move from research and backtesting to production and live trading with PnL impact.

Qualifications

  • Quant trader/Quant researcher with crypto, HFT or market-making experience.
  • Strong quantitative and statistical skills.
  • Excellent Python skills.

Responsibilities

  • Take ownership of live crypto market-making strategies and optimize pricing, spreads, sizing, hedging and execution.
  • Research and deploy new systematic strategies across global venues.
  • You’ll have direct exposure to live trading and PnL.

Skills

Quantitative trading
Python
C++/Rust
Market microstructure
Pricing & execution
Risk management
DeFi / on-chain
Cross-exchange trading

Job description

Quantitative Trader - Crypto Market Making

We are working with a strong leading digital-assets trading firm that is looking to hire a talented Quantitative Trader to join its growing market-making team.

This is a highly hands-on, PnL-focused role where you'll take ownership of live crypto market-making strategies, optimize pricing, spreads, sizing, hedging and execution, and research and deploy new systematic strategies across global venues.

What we are looking for:
  • Quantitative Trader / Quant Researcher with strong crypto, HFT or market-making experience
  • Strong quantitative and statistical skills
  • Excellent Python skills
  • Experience with market microstructure, pricing, execution and risk
  • C++ / Rust, DeFi, on-chain execution or cross-exchange trading is a strong plus
  • Strong interest in markets and a genuine trading mindset

Location: London / Dubai / New York | Hybrid

You'll have direct exposure to live trading and PnL, with the opportunity to take strategies from research and backtesting through to production and execution.

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