Business Intelligence Analyst

Our client are processing upwards of 1 billion dollars of value each month and the DAO is one of the two most active in the industry.

Its team is distributed around the world, having developers working remotely anywhere, with flexible hours.

As a Machine Learning Specialist, you will perform optimization analysis using both simulated, and real-world data to assist the community with the management of the protocol. You will be asked to attain a heuristic working knowledge of the Protocol and its activities, build models and simulations, and in collaboration with others in the research and economics teams, propose adjustments to the protocol behavior to optimize its financial performance. The new member of the team will exhibit excellent aptitude for machine learning applications, initiative, and the ability to work collaboratively within a team comprising a diversity of specializations.

You Are:

● An active DeFi user, with a strong understanding of blockchain technology fundamentals.

● Passionate about the application of machine learning to complex systems.

● Confident in a wide variety of both supervised and unsupervised machine learning methods.

● Exceptional with data handling, visualization, and statistical analysis methods.

Preferred Skills

In addition to the machine learning expertise, the following skills are highly desirable:

● English proficiency, both written and spoken, is essential for this role.

● Fluency in python.

● Previous experience in constructing simulations, and agent-based modelling.

● Fluency in financial concepts, including and especially those featured prominently in the DeFi landscape.

You Will

● Be an active contributor in the design and financial/economic modelling of the Protocol:

○ Rigorously evaluate the economic and financial consequences of proposed changes.

○ Help to achieve a better outcome for its users.

○ Communicate your research to all levels of the core contributor team, including marketing, legal, UI/UX and contract engineers, as well as to laypeople, community members and industry commentators.

● Prepare and deliver presentations, both internally (e.g. team meetings), and externally (e.g. conferences)