Portfolio Analytics Architect

About the role

We are seeking a detail-oriented and analytical Portfolio Analytics Architect to lead data validation initiatives and ensure the accuracy and reliability of complex financial portfolio data. In this role, you will manage end-to-end data validation processes for conversion projects, developing scalable analytics solutions and automated tools to identify discrepancies and improve data quality.

What you'll do

• Lead and manage end-to-end data validation activities for financial data conversion projects, ensuring accuracy, consistency
• Develop scalable data analytics and validation processes using Databricks to support complex financial datasets and multiple concurrent projects
• Design and implement custom Python solutions to detect large-scale data anomalies, automate data checks, and support remediation activities
• Build, maintain, and continuously improve reusable validation tools, operational runbooks, technical documentation, and standardized workflows
• Prepare detailed validation findings, discrepancy analyses, progress reports, and project status materials to ensure effective monitoring and timely project completion

What you need

• 2–5 years in software engineering
• Analytics
• Python
• SQL
• REST APIs
• Spark
• Databricks
• CFA or B.Tech or B.E. or B.Com

Good to have

• CFA
• ETL
• Reconciliation
• LLMs
• Data privacy