Gauntlet is looking to solve the problem of managing market risk, optimizing growth, and ensuring economic safety for protocols facilitating spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry.
Requirements
- Experience developing statistical or quantitative models for financial markets.
- Understanding of blockchain and DeFi protocols, concepts, and best practices (or a strong desire to learn).
- Proficient at writing code in Python and SQL with a solid understanding of software engineering principles.
- Knowledge of workflow orchestration (e.g., Dagster, Airflow) and distributed data processing technologies (Spark).
- Excellent understanding of statistical modeling, machine learning, and optimization algorithms.
- Experience with scientific computing packages such as Numpy/Scipy, Pandas, etc.
- Ability to quickly internalize abstract concepts in new domains, coupled with strong problem-solving skills and attention to detail.
Responsibilities
- Designing and implementing strategies for managing risk and optimizing DeFi protocols using quantitative models, simulations, and machine learning.
- Develop tools and engines for parameter recommendations and drive impact to protocols.
- Own the whole lifecycle of protocol integrations, including building data pipelines, working closely with cross-functional teams to define the data requirements and product offering.
- Architect and refine data models and structures to support the evolving needs of DeFi analytics, simulations, methodologies and research development.
- Contribute to making our core modeling platform world-class.
- Maintain up-to-date knowledge of the latest industry trends, technologies, and techniques in software engineering.
- Optimize Aera guardian logic to improve risk-adjusted yields, trade execution quality, and capital efficiency of strategies such as Protocol-Owned Liquidity for Aera Vaults.
Other
- Minimum 4 years of direct hands-on experience trading or analyzing financial markets (crypto or traditional) professionally.
- Master’s or Ph.D. in Quantitative fields like Mathematics, Economics, Computer Science, Physics, or similar fields is a plus.
- Ability to work independently and within a team, manage multiple projects, and meet deadlines.
- Strong communication skills and the ability to work collaboratively in a distributed team environment.
- Ability to work from anywhere in the US & CAN with remote-first work arrangement.
