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About Tothemoon
Tothemoon is a user-centric, multiservice digital assets trading platform. At Tothemoon, we prioritize what matters most in finance: reliability. Whether it’s buying, selling, exchanging, or investing in cryptocurrencies, you can trust us to protect your financial interests and propel you towards a prosperous future. Join a rapidly growing community of users who choose Tothemoon for their digital transactions.
About the role: Quantitative Analyst / Algo
We’re on a mission to build the future of trading in DeFi by creating AI-driven systems that trade autonomously and scale with the market, reducing human involvement. Machine learning will be at the heart of our trading strategies, pushing the boundaries of quantitative research and providing smarter, more scalable solutions.
We’re looking for an experienced Quantitative Researcher with a proven track record in DeFi—someone who has worked beyond arbitrage, yield farming, and liquidity pools. We want a quant who can bring new, innovative strategies to the table and help shape our AI-driven trading systems.
In this role, you’ll leverage your expertise to create novel quantitative models and collaborate with our ML Engineers & ML Research Scientist to integrate them into our trading strategies. You’ll help drive the evolution of autonomous AI agents that adapt and make decisions in real-time, optimizing performance in DeFi markets.
If you’ve designed advanced trading strategies in DeFi and are excited about AI-driven algorithmic trading, this role offers a unique opportunity to make a tangible impact.
Duties And Responsibilities
We offer competitive compensation with the possibility of profit-sharing based on the success of your strategies. As a key member of our team, you’ll play a central role in shaping the future of our AI-driven trading systems, with the opportunity to share in the fund’s growth.
We at Tothemoon stand for equal opportunities, fairness and diversity. Therefore, the selection of candidates takes place regardless of race, nationality, gender, sexual orientation, religion, age, civil and marital status, and health condition. So, evaluate only your professional knowledge and experience, and apply.