DeFi Researcher Intern

Posted:
7/25/2024, 8:41:09 PM

Location(s):
Indianapolis, Indiana, United States ⋅ Indiana, United States

Experience Level(s):
Internship

Field(s):
Data & Analytics

Workplace Type:
Remote

*This is a fully remote term-time internship, candidates based in Hong Kong are preferable. Please note that we don't have physical office in HK*

*Internship can start at any time and there are not specific onboarding date.*

 

Position Summary

The DeFi Researcher Intern will play a pivotal role in advancing research initiatives focused on decentralized finance (DeFi) protocols. This position entails conducting in-depth analyses to explore innovative solutions for on-chain execution and meeting day-to-day trading requirements.

 

Job Responsibilities

Conduct comprehensive research on cutting-edge DeFi ecosystems, employing quantitative analysis to discern emerging trends within the space. 
Investigate various decentralized protocols to identify strategic opportunities, 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, with a preference for postgraduate degrees (PhD/Masters).
  • Strong passion for blockchain and cryptocurrency, coupled with a willingness to actively engage in various Web3 communities.
  • Demonstrated ability to conduct independent research with a keen analytical mindset.
  • Proficiency in Python and Solidity, with advantageous experience and capability in utilizing web3-related libraries, able to develop smart contract solely.
  • Strong quantitative aptitude and a commitment to maintaining a high standard of professionalism in the field.
  • The candidate must have completed at least a 3-month internship or full-time position at a proprietary trading firm or hedge fund as a Quantitative Researcher/Trader, with prior involvement in alpha-related projects during the internship (school projects are not considered, nor is experience as a data analyst).