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Tokka Labs
Quantitative Research Intern
about 19 hours ago | 13 views | Be the first one to apply

Quantitative Research Intern

Internship
Singapore, Asia

About the company

Tokka Labs is a proprietary trading firm with a focus on close collaboration, rigorous research, and cutting-edge technology. We are market makers, searchers, and solvers for top protocols on the most popular blockchains in the world. We design and implement our own trading systems and strategies to provide liquidity in the most diverse and challenging environments. At the core of it all lies our unwavering commitment to pushing boundaries of decentralized finance and we are always on the lookout for like-minded individuals to join us on this journey. If you think you have what it takes, apply now!

Job Summary

Job Responsibilities

📍Conduct comprehensive research on cutting-edge DeFi ecosystems, employing quantitative analysis to discern emerging trends within the industry. 📍Investigate various decentralized protocols to identify strategic opportunities, and subsequently devising and implementing quantitative trading strategies. 📍Develop tools to monitor and analyze the performance of our trading systems, as well as assess the broader market landscape.

Job Requirements

📍Currently pursuing a research-based degree in a quantitative or computing field. 📍Solid understanding of statistical and mathematical modeling techniques. 📍Prior experience with or knowledge of blockchain technology and decentralized finance (DeFi) concepts is required. 📍Demonstrated ability to conduct independent research with a keen analytical mindset. 📍Proficiency in Python, Typescript, and/or Rust, with experience and capability in utilizing web3-related libraries. 📍Demonstrated experience using/interacting with various blockchains and L2s is highly advantageous and will be prioritized. 📍Strong passion and willingness to actively engage in various Web3 communities.
📍Strong quantitative aptitude and a commitment to maintaining a high standard of professionalism in the field.

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