Quantitative Researcher
YipitDataFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess a Master's or PhD in a quantitative or technical discipline, or equivalent industry experience, along with at least 2 years of hands-on experience as a data scientist analyzing financial datasets and building data science solutions. Strong analytical and data processing skills in Python, the ability to write production-ready code, and experience with structured and unstructured data are essential. Excellent communication skills are also required.
Responsibilities include partnering with AI researchers to integrate data and fine-tune LLMs for investment research, assisting in the development and implementation of AI models and data pipelines, and analyzing, designing, and curating core data products for the central data and AI platform. The role also involves analyzing traditional and alternative datasets using statistical techniques, collaborating with portfolio managers and traders to build data science tools, contributing to the design and implementation of the central data and AI platform, and developing and maintaining scalable data pipelines with data analytics, dashboards, and optimized data management processes.
Global derivatives, volatility investment management
Capstone is a global, alternative investment management firm specializing in derivatives-based strategies and volatility, leveraging advanced technology to anticipate and harness the complexities of world markets.