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

Qualifications

📍5+ years of professional engineering experience, preferably within the financial services and quant trading. 📍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 📍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