Remote Quantitative Researcher Jobs in Web3

Our Quant Research Team generates market analytics and translates them into new strategies aiming to integrate our systematic portfolio. 

As a Quantitative Researcher, you will:

- Study financial ecosystems to extract key dynamics and opportunities.

- Navigate technical and academic literature to identify the most appropriate modelling tools.

- In addition, leverage financial pragmatism and technology to design profitable algorithmic trading implementations.

- Code resulting strategies and test them to prove concept effectiveness.

- Collaborate with Backtesting and Software Engineers to support the phases of the strategy lifecycle, from robustness assessment up to production-level deployment and monitoring of our proprietary trading infrastructure.

- Dissect the performance of existing portfolios to distil down actionable insights.

- Contribute to and benefit from team growth through continuous sharing.

The effort to expand automated trading operations from crypto only to a cross-asset universe represents a key initiative for the fund. Thus the role will directly impact shaping the future team and company structure.

- BSc or MSc in quantitative subjects (e.g. mathematics, physics, computer science, econometrics, finance etc.) 

- Proficiency in Python Programming.

- Be driven by an interest in macro and microfinance dynamics while pursuing self-directed research.

- Experience in designing cross-asset portfolios.

- Experience with automated execution through different instruments. 

- Familiarity with optimisation and machine learning applications.

- An entrepreneurial-friendly and business-driven mindset.

- A statistical and data analytical background, along with manual operational trading experience, would be an advantage.

This is not a role for someone who wants to specialise only in one asset class but is perfect for a Researcher who is excited about multiple asset classes and exposure to different facets of the position.