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Quantitative Trader Researcher

G

Gravity Team

💰Est.$100k - $240k🕐 Posted
OtherHybridOnsiteRemote
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Job Description

About Us

Trading since 2017, Gravity Team is one of the leading crypto market makers and liquidity providers, with cumulative trading volumes to date exceeding $400 billion.

We provide 24/7 crypto liquidity to 1,400+ crypto-asset pairs across 30+ exchanges in over 15 countries worldwide, accounting for approximately 1% of the global spot trading volume. With a team of ~60 exceptional professionals, we are in a high-growth phase, continuing to expand our reach and market impact.

The Role

We are seeking an exceptional Quantitative Trader / Researcher with a deep understanding of algorithmic trading, market microstructure, and quantitative research.

The ideal candidate combines a research-driven mindset with real-world trading instincts—able to design, backtest, and optimize high-performance strategies across crypto markets. You will be responsible for developing systematic strategies from concept to execution, leveraging data-driven insights, and refining our trading models to drive sustainable alpha generation.

Responsibilities

  • Design, implement, and optimise algorithmic/automated trading strategies with a quantitative research mindset: from signal generation, execution tactics, hedging, to risk management.
  • Conduct deep-dive research into market micro-structure, asset/contract behaviour, arbitrage opportunities, and hidden inefficiencies.
  • Work with large datasets: back-testing, parameter tuning, simulation, post-trade analytics to drive continuous improvements.
  • Monitor live systems, analyse real-world performance versus expectations, tweak live parameters, and collaborate with engineers to deploy enhancements.
  • Manage asset allocation across venues/exchanges, examine liquidity, slippage, order-book dynamics and optimise exposure.
  • Contribute alternative views — proactively propose novel ideas, challenge assumptions, and work in an open meritocratic culture.

Requirements

  • At least 2 years of hands-on experience with algorithmic trading systems.
  • Market making and crypto experience is a plus.

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