Portfolio Analytics Architect
Core
Leading end-to-end data validation processes for financial portfolio data conversion projects, ensuring data quality and integrity for investment professionals.
Role type
Senior IC data analytics architect (financial data)
Builds
Scalable data analytics processes, custom Python logic for anomaly detection, reusable validation tools, and AI-driven automation integrations.
Domain
Financial services / Investment operations / Data engineering
Deliverable
production ML models
Required skills
Python, Spark, SQL, Databricks, ETL fundamentals, REST APIs, financial portfolio data, data validation, root cause analysis, AI/LLM integration
Preferred skills
CFA or FRM progress, experience in fund accounting or investment operations
Technologies
Databricks, Python, Spark, SQL, REST APIs
Responsibilities
Develop scalable data analytics processes for validation in Databricks; Write custom Python logic to detect large-scale data anomalies and automate remediation; Build and maintain reusable validation tools, runbooks and documentation; Prepare validation findings, discrepancy analysis and status materials; Research and identify portfolio data performance discrepancies and recommend fixes; Coordinate across global project teams and time zones.
Seniority
Senior, hands-on IC