Research Analyst – Cryptocurrency/DeFi - Python/SQL
Research Analyst – Cryptocurrency / DeFi - Python / SQL
Orbis is partnering with one of the most exciting and ambitious organisations in the Cryptocurrency space as they invest in their globally renowned research offering. They are now hiring a Research Analyst with strong analytical skills (SQL / Python) who can turn Cryptocurrency insight into clear, engaging research that clients genuinely value.
This is an incredible opportunity for an analytical Research Analyst who is genuinely passionate about cryptocurrency. You will gain unique exposure to real digital assets insights, shaping critical thought leadership for a global client base which includes many of the biggest and most recognised names in Investment Management and Trading.
Your key responsibilities in this role will be:
- Using SQL and Python (Pandas) to pull and analyse Digital Assets and Cryptocurrency market data from different sources
- Leveraging Cryptocurrency data and insights to produce deeply valuable and engaging written thought leadership and publications for Trading and Investment clients
- Liaising directly with end-clients to become an SME in what cryptocurrency insights Trading and Investment businesses are interested in, to feed into product development
To be a successful applicant, you will need:
- A background working in the Trading, Investment Management or Cryptocurrency Industry
- A strong proven understanding of the cryptocurrency/DeFi world either commercially or through deep personal research
- Strong data manipulation and analytical experience with SQL and Python (Pandas) with a proven ability to derive insights from complex datasets
- An exceptional ability and proven experience of write engaging and thought-provoking research publications from financial asset insights (ideally digital assets)
- Experience with Layer 1 and Layer 2 architectures as well as on-chain data tools (e.g. Nansen, Dune or Glassnode)
If you feel your experience matches the above, please apply with an up-to-date copy of your CV in the first instance