Research Engineer, Portfolio Management Group, Associate
Core
Build data workflows, analytics solutions, and AI-assisted capabilities to transform risk and quantitative challenges into actionable insights for investment and risk management.
Role type
Associate Research Engineer (Data Engineering & Analytics)
Builds
Data-intensive applications, research utilities, prototypes, dashboards, and AI-assisted solutions for investor research and risk analysis.
Domain
Financial Services / Investment Risk & Quantitative Analysis
Deliverable
production ML models | dashboards & analysis | product features
Required skills
Python, SQL, data pipeline development, data quality management, CI/CD pipelines, cloud data platforms, visualization tools
Preferred skills
Web harvesting (Scrapy), cloud data tools (Snowflake, BigQuery, GCP), AI/ML tooling (LLMs, RAG), dashboard creation (Streamlit, Flask), workflow orchestration (Airflow, Kubernetes)
Technologies
Python, SQL, BigQuery, Snowflake, GCS, Tableau, Power BI, Scrapy, Airflow, Kubernetes, Open AI, Vertex, Anthropic
Responsibilities
Build and maintain web harvesting and data pipelines; develop new platform capabilities to source high-quality data; develop research utilities, prototypes, and dashboards; engage with investors and researchers to translate requirements into data solutions; collaborate with engineering teams to adopt data extraction tools; collaborate with AI leads to build AI applications for investor research.
Seniority
Associate, hands-on IC