Quantitative Researcher

This is a fully remote position, open to applicants in United States.

📋 Description

• Engage with greenfield challenges concerning trading activities, liquidity, and on-chain user behavior. This involves analyzing venues, assets, and market participants to comprehend their interactions within the ecosystem.

• Create data-informed perspectives on market structure and ecosystem dynamics, utilizing these insights to guide decision-making.

• Establish and manage analytical workflows from inception to production-quality outputs.

⛳️ Requirements

• A minimum of 3 years of experience in a quantitative position, ideally within high-frequency trading (HFT).

• A solid grasp of market microstructure and overarching market dynamics.

• Proficiency in numpy and pandas is essential.

• Experience in building significant projects from the ground up.

• Bonus: Practical experience with on-chain cryptocurrency markets.

🏝️ Benefits

• Engaging challenges. You will confront complex and technically demanding problems, with a high degree of autonomy and influence.

• Abundant opportunities for impact. The Ethereum Virtual Machine (EVM) standard is widespread, yet current EVM-compatible chains are often slow and limited in bandwidth. Monad’s innovative core solutions provide developers and founders with the optimal balance of portability and performance, transforming global on-chain finance.

• Exceptional team. You will collaborate with a world-class team comprised of highly motivated and exceptional individuals.

• Positive culture. Our lean team is united in pursuit of ambitious goals, fostering a culture of collaboration, humility, and high-quality results.

• Robust ecosystem. The larger Monad ecosystem has garnered support from prominent investors, builders, and long-term contributors.