Quantitative Data Scientist (Python), Multi-Asset Strategies and Solutions (MASS), Associate
Core
Design, build, and maintain data automation, analytics solutions, and AI-enabled tools to support investment workflows and research across public and private asset classes.
Role type
Associate Quantitative Data Scientist (Data Engineering & Automation)
Builds
Scalable data pipelines, internal data applications, dashboards, and AI/LLM prototypes for document processing and data extraction.
Domain
Asset Management / Financial Markets / Quantitative Research
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python (4+ years), Data Engineering, Data Visualization (Tableau, PowerBI, Streamlit), AI/ML concepts, LLM use cases, API integration, Schema-bound extraction
Preferred skills
Financial markets knowledge, Independent operation, Stakeholder partnership
Technologies
Python, Streamlit, Airtable, Tableau, PowerBI, Internal data platforms
Responsibilities
Design and maintain automation solutions for data quality and operational efficiency; Develop and support internal data applications and performance monitoring dashboards; Maintain and enhance research data coverage via vendor relationships; Lead data automation for AI-enabled research workflows; Prototype AI and LLM-based solutions for document processing and data extraction; Act as technical owner for deployed tools ensuring maintenance and data accuracy.
Seniority
Associate, hands-on IC