Web3 Jobs in Remote, Remote

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Job Position Company Posted Location Salary Tags

Gravity Team

Remote

$100k - $240k

Rally.fun

Remote

Bitwise Asset Management

Remote

$170k - $190k

Yieldschool

Remote

$144k - $204k

Blockchain Futurist Conference

Remote

EoT Labs

Remote

MoonPay

Remote

$81k - $84k

Ethena Labs

Remote

$84k - $144k

Ethena Labs

Remote

$105k - $180k

Ethena Labs

Remote

$175k - $240k

Tether

Remote

MoonPay

Remote

$129k - $156k

Gravity Team

Remote

$120k - $240k

Buidlpad

Remote

HyroTrader

Remote

$70k - $120k

Gravity Team
$100k - $240k
Remote (with regular business trips to Latvia)
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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.

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.

Your main 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.

What We Expect

  • At least 2 years of hands-on experience with algorithmic trading systems.
  • Market making and crypto experience is a plus.
  • Experience developing simple predictive models and utilizing Python and statistics for research and optimization.
  • Knowledge of risk management, hedging, and arbitrage.
  • Python skills are a must (Rust is a nice bonus, but not mandatory).
  • Ability to read and understand code.
  • Strong quantitative and analytical skills with experience working with large datasets.
  • Excellent English skills.
  • Ability to work independently, with an “owner mindset”.
  • Willingness to work in hybrid setup with on-site presence in Riga, Latvia. 

Our Promise To You

We offer you hands-on insight into one of the most exciting and lucrative industries today. Our work contributes to transforming the current financial industry and democratizing access to digital goods across the world.

Conditions

  • Extremely open idea meritocracy and close to Zero bureaucracy.
  • Fast-moving, challenging, and unique business problems.
  • Working together with highly talented team.
  • Profit shares are directly linked to your performance and market results, the upside is unlimited.
  • Learning & Development budget 3000 EUR a year.
  • Benefits that you can combine yourself – free food, bolt taxi, Sports, Spa & Wellness etc.
  • Opportunity to participate in global crypto events, making a direct and tangible impact on crypto markets worldwide.
  • Flexible working hours, casual work attire and startup atmosphere.