Portfolio Analytics Architect

About the role

A Portfolio Analytics Architect is responsible for leading the data validation process end-to-end for data conversion projects. The ideal candidate will have a strong understanding of financial portfolio data, a motivation to work on data problems, strong analytical and communication skills and the ability to deliver results in adherence with project deadlines while meeting high quality standards.

What you'll do

• 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 that scale across projects
• Prepare validation findings, discrepancy analysis and status materials that keep each data validation project on track through to completion
• Research and identify portfolio data performance discrepancies, determine root causes and recommend how best to fix manual data issues

What you need

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

Good to have

• CFA
• Spark
• LLMs