Blockchain Research Intern(Singapore)

InfraSingularity is spearheading the investment & infrastructure for top Web3 protocols.

InfraSingularity aims to revolutionize the Web3 ecosystem as a pioneering investor and builder. Our long-term vision is to establish ourselves as the first-of-its-kind in this domain, spearheading the investment and infrastructure development for top web3 protocols.At IS, we recognize the immense potential of web3 technologies to reshape industries and empower individuals. By investing in top web3 protocols, we aim to fuel their growth and support their journey towards decentralization. Additionally, our plan to actively build infrastructure with these protocols sets us apart, ensuring that they have the necessary foundations to operate in a decentralized manner effectively.

We embrace collaboration and partnership as key drivers of success. By working alongside esteemed web3 VCs like WAGMI and more, we can leverage their expertise and collective insights to maximize our impact. Together, we are shaping the future of the Web3 ecosystem, co-investing, and co-building infrastructure that accelerates the adoption and growth of decentralized technologies.

Together with our portfolio of top web3 protocols (Lava, Sei, and Anoma) and our collaborative partnerships with top protocols (EigenLayer, Avail, PolyMesh, and Connext), we are creating a transformative impact on industries, society, and the global economy. Join us on this groundbreaking journey as we reshape the future of finance, governance, and technology.

The ideal candidate will be responsible for turning data into actionable insights by recognizing trends and anomalies in multivariate datasets. In order to use these insights for business improvement, this candidate should feel comfortable using their analysis to tell a story.

Responsibilities

• Conduct fact-based research and analysis
• Assist with publication of research commentaries and papers
• Evaluate new and established research sources
• Prepare materials that summarize data and draw conclusions to support key business discussions

Qualifications

• Bachelor's degree or equivalent experience
• Expertise with SPSS, Excel, and PowerPoint
• Previous quantitative and qualitative research experience

Paid Internship.