About the company
We are a team of world class builders and researchers with expertise across several domains: Ethereum Protocol Engineering, Layer-2, Decentralized Finance (DeFi), Miner Extractable Value (MEV), Smart Contract Development, Security Auditing and Formal Verification. Working to solve some of the most challenging problems in the blockchain space, we frequently collaborate with renowned companies, such as Ethereum Foundation, StarkWare, Gnosis Chain, Aave, Flashbots, xDai, Open Zeppelin, Forta Protocol, Energy Web, POA Network and many more. We actively contribute to Ethereum core development, EIPās and network upgrades together with the Ethereum Foundation, and other client teams.
Job Summary
Key Responsibilities:
šCollaborate with quantitative researchers to understand their workflow, challenges, and requirements, and provide technical solutions to improve their research productivity šDesign, develop, and maintain software tools, platforms, and frameworks that enhance the efficiency and effectiveness of research activities, including data gathering, preprocessing, analysis, and model development šIdentify and implement advanced data processing techniques, algorithms, and statistical methods to optimize research workflows and enhance data analysis capabilities šLeverage your expertise in software engineering, data engineering, and machine learning to build scalable and robust systems that facilitate large-scale data analysis and experimentation šConduct code reviews, provide technical guidance, and mentor junior research engineers to ensure code quality, maintainability, and adherence to best practices šCollaborate with cross-functional teams, including quantitative researchers, data scientists, and engineering professionals, to integrate research tools and systems into the existing infrastructure šAssist in the evaluation and implementation of third-party tools, libraries, and data sources that can enhance the research process šParticipate in research discussions, contribute ideas, and provide technical expertise to improve research methodologies and strategies šContribute to the development and maintenance of documentation, user guides, and training materials related to research tools and processes
Skill Set and Qualifications:
š4+ years experience working in close partnership with quantitative researchers to develop, deploy and maintain quantitatively-driven alpha strategies. Previous experience at a quantitative hedge fund is strongly preferred. šMaster's or Ph.D. in Computer Science, Engineering, Data Science, or a related field šExceptional Python programming skills, with a focus on building scalable and efficient systems, embracing best-in-class open source data science tooling. šProficiency in data processing, analysis, and visualization tools, libraries, and frameworks šSolid understanding of statistical modeling, machine learning techniques, and their practical applications in quantitative research šSolid understanding of the differences between L1, L2 and L3 market tick data šExperience with AWS šExcellent problem-solving skills and the ability to design practical solutions to complex research challenges šStrong communication and collaboration skills to effectively work with cross-functional teams and translate research requirements into technical solutions