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Gravity Team | Remote | $100k - $240k | |||
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This job is closed
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.Â
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.
What is a quantitative career?
A quantitative career is a profession that involves using mathematical, statistical, and computational techniques to solve problems and make decisions in a wide range of industries, including finance, engineering, healthcare, and technology
A quantitative career in Web3 involves using mathematical, statistical, and computational techniques to analyze and optimize decentralized finance (DeFi) protocols, blockchain networks, and other Web3 applications
Some examples of quantitative careers include:
- Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
- Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
- Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
- Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
- Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.