Associate Portfolio Manager - Quantitative Enablement
Core
Designing and developing quantitative investment data pipelines, analytical tools, and technical infrastructure to support investment decision-making and portfolio insights.
Role type
Associate Portfolio Manager – Quantitative Enablement (Data Engineering & Analytics)
Builds
Scalable data solutions for market data, holdings, transactions, benchmarks, and risk metrics
Domain
Financial Services / Quantitative Investment
Deliverable
production ML models | product features
Required skills
Data modeling (logical, physical, conceptual), Python, SQL, Snowflake, dbt, CI/CD, Agile methodologies, Financial markets knowledge, Portfolio management concepts, Data governance, Stakeholder management
Preferred skills
Financial modeling, Strategic thinking, Mentoring
Technologies
Snowflake, dbt, Python
Responsibilities
Design and develop quantitative investment data pipelines and analytical tools; Build and maintain robust data solutions covering market data, holdings, transactions, benchmarks and risk metrics; Enhance investment data quality, governance, documentation and reproducibility standards; Deliver research, analysis and insights that contribute to investment strategy and portfolio outcomes; Collaborate with quantitative research, analytics and data teams to align tools and infrastructure with strategic priorities; Provide technical support and resolve data-related issues for investment stakeholders.
Seniority
Associate, hands-on IC
