Full-Time Data Engineer

We are seeking a skilled and experienced Data Engineer. This is a high impact role with the ability to contribute meaningfully to the development and management of our data platform. This position requires strong technical capabilities and a proven ability to collaborate effectively with quantitative researchers, to process, analyze, and manage a large and diverse corpus of datasets that enable our quantitative investment process.  

Key Responsibilities:

• Work closely with quantitative researchers to understand their data requirements.
• Develop high-throughput, near real-time event driven datasets using live trade and historical market data.
• Integrate with external APIs and alternative data vendors to ingest structured and unstructured data.
• Develop data solutions that enable the efficient and reliable extraction of insights from captured data.
• Design, develop, and optimize robust data pipelines, enabling ETL processes that support quantitative research, analysis, alpha forecasting, and execution.
• Implement rigorous data quality assurance measures to ensure the accuracy, reliability, and consistency of data inputs and outputs.

Skillset and Qualifications:

• 3+ years experience in a related field or role. Previous experience at a quantitative hedge fund is highly desirable.
• Bachelor’s degree in Computer Science or related field
• Proficiency in programming languages such as Python and Rust, along with experience in big data technologies.
• Demonstrated expertise in designing and optimizing data pipelines, data modeling, ETL processes, data warehousing, and data governance
• Strong experience in SQL and modeling relational data. Proficiency using relational and non-relational databases as well tick data stores.
• Working experience with REST/WS backends and APIs
• Experience building event driven applications using technologies like Protobuf, Kafka and Schema Registry.
• Experience with AWS and their data offerings
• Experience with Linux and Docker
• Proven ability to collaborate effectively with quantitative researchers and other stakeholders, translating their requirements into technical solutions
• Strong analytical and problem-solving skills, capable of analyzing complex datasets, identifying patterns, and extracting meaningful insights
• Highly detail oriented and meticulous
• Thrive in a fast-paced and dynamic environment, adaptable to changing priorities and emerging technologies
• Strong verbal and written communication skills
• Ability to travel periodically between our other offices in NYC and Zug, Switzerland