Research Analyst - Cryptoassets

  • DRW/Cumberland
  • London, UK
  • Jan 07, 2022
Full time Portfolio Management Research

Job Description

Cumberland - a DRW Company is the cryptoasset arm of DRW, established in 2014 after pursuing an early interest in cryptoassets and their underlying technologies. Today, Cumberland is a global leader in cryptoassets, uniquely positioned between the traditional financial markets and the cryptoasset ecosystem. From our offices in Chicago, London and Singapore, we provide 24-hour access to a wide array of cryptoassets while helping the crypto ecosystem evolve in a responsible, sustainable way.

As a Research Analyst, you will focus on identifying and vetting a wide variety of investment and trading opportunities in the cryptoassets and DeFi sectors.  This is a unique opportunity to contribute to the growth of a market leader in the cryptoasset trading ecosystem and benefit from professional development in a highly supportive and collaborative environment. 


  • Publish timely internal and external research on market events
  • Analyze new initiatives and products to produce data-driven research reports
  • Generate and present investment ideas in the cryptoassets and DeFi sectors based on fundamental research
  • Identify and evaluate key valuation drivers, thematic views and industry macro trends; provide real-time news-driven updates
  • Participate in the development of event-driven trading opportunities in cryptoassets
  • Assist in management of cryptoassets portfolio
  • Participate in industry conferences and events

Required Skills & Experience:

  • Professional experience in cryptoassets research with a strong understanding of crypto-economics.
  • 2+ years of experience in fundamental research
  • Proven idea generation and investment track record
  • Proficient in technical terminology related to general cryptography and protocol languages
  • Extensive experience developing research models, interpreting and reporting on research results and vetting opportunities for investment
  • Professional experience using Python (or a similar language) for time series or statistical analysis
  • Strong interpersonal, communication and organizational skills
  • Must have a sense of urgency and ability to work in a fast-paced environment
  • Bachelor’s degree or advanced degree, preferably in finance, economics or engineering
  • Previous experience in news-based or event-based research is a plus
  • A strong understanding of futures, equities, options, and lending markets is a plus