Zurich-Based Algorithmic Market-Making Quant

G-20 Strategies AG

Zürich

Hybrid

CHF 150,000 - 210,000

Full time

14 days+

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Job summary

G-20 Group seeks an Algorithmic Quant Trader to develop and optimize systematic market-making strategies across digital assets and, where applicable, traditional markets. You will design high-performance algorithms to price liquidity, manage inventory, and capture microstructure opportunities in fragmented electronic venues.

The role requires hands-on experience in production market-making, deep understanding of order books, and expertise in Python with C++ and/or Rust.

Qualifications

  • Candidates must have a strong quantitative background in mathematics, statistics, physics, CS, or engineering.
  • Proficient in Python; C++ and/or Rust desired.
  • Experience building production market-making algorithms across crypto/equities/futures/FX or similar electronic markets.

Responsibilities

  • Design, develop, and optimize systematic market-making and liquidity-provision algorithms across assets.
  • Develop dynamic quoting models with spread optimization and inventory management.
  • Research market microstructure to improve fill quality and reduce costs.
  • Build quantitative models for fair-value estimation, short-term price prediction, and risk management.
  • Backtest and simulate strategies using tick and order-book data.
  • Work with traders and engineers to deploy research into low-latency production systems.
  • Optimize strategies across exchanges considering fees, rebates, latency, and liquidity.
  • Develop automated risk controls and monitoring for market-making strategies.

Skills

Python
C++
Rust
Quantitative analysis
Market microstructure
Backtesting
Tick-level data

Education

Quantitative degree

Job description

G-20 Group seeks an Algorithmic Quant Trader to develop and optimize systematic market-making strategies across digital assets and, where applicable, traditional markets. You will design high-performance algorithms to price liquidity, manage inventory, and capture microstructure opportunities in fragmented electronic venues.

The role requires hands-on experience in production market-making, deep understanding of order books, and expertise in Python with C++ and/or Rust.

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