About Us
Paperclip Partners is a venture capital and advisory firm working with early-stage crypto companies and projects, with a particular focus in the realm of decentralized finance. Our main objectives are to provide substantial value to our portfolio companies in the form of technical and strategic advice. Paperclip’s founders are early adopters of blockchain technologies and decentralized finance who have extensive backgrounds in finance, engineering, and natural sciences, and are based in Hong Kong and Australia.
About The Role
We are looking for a quantitative researcher to join our company on a full-time or part-time basis, to assist with mathematical research, financial engineering, as well as modelling and simulation. The role involves the development and application of mathematical/economic theory to crypto-based financial products that were previously unfeasible but made possible through blockchain technology. Additionally, the researcher would also help simulate and optimize the performance and risk characteristics of these new financial platforms and products through quantitative means.
Responsibilities
Develop and apply mathematical/economic theory to decentralized financial protocols
Build simulations and models to optimize platform performance and risk Requirements
Undertaking studies within any of the following disciplines: mathematics, physics, quantitative finance, engineering, economics, actuarial studies, computer science
Extensive experience with simulation and modelling
Strong understanding and interest in mathematics
Python proficiency is strongly preferred
Minimum of 20 hours availability per week
Nice-to-Haves
University degree in any of the following: mathematics, physics, quantitative finance, engineering, economics, actuarial studies, computer science
Knowledge of and interest in blockchain technology and cryptoassets, especially decentralized finance
Experience in any of the following: cryptocurrency industry, academia, financial institutions, quantitative research
Experience with agent-based simulation
Knowledge of any of, and ideally multiple of, the following: statistics, economics, machine learning, finance, mathematics