Data Science Professionals - Systematic Data Platform
Core
Building and maintaining a systematic data platform to support portfolio engineers and portfolio managers in quantitative investing.
Role type
Data Operations Analyst / Data Scientist
Builds
Systematic data platform powering portfolio engineering workflows
Domain
Quantitative investing / Financial data
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, data quality analysis, metadata management, root-cause analysis, financial data concepts
Preferred skills
Go, Rust, R, Java, C#, C++, automation, vendor management
Responsibilities
Onboard and validate internal and external datasets, perform data quality checks and reconciliation, generate descriptive statistics and coverage reports, maintain data dictionaries and operational runbooks, partner with portfolio managers to resolve data issues, monitor daily data pipelines and coordinate issue resolution.
Seniority
Entry to Mid-level (0-6 years)