Portfolio Analytics Architect

📋 Description

• Lead and manage end-to-end data validation activities for financial data conversion projects
• Develop scalable data analytics and validation processes using Databricks to support complex
• Design and implement custom Python solutions to detect large-scale data anomalies, automate data
• Build, maintain, and continuously improve reusable validation tools, operational runbooks
• Prepare detailed validation findings, discrepancy analyses, progress reports, and project status
• Investigate portfolio data performance discrepancies, identify underlying causes, and recommend

🎯 Requirements

• Bachelor's degree in Finance, Mathematics, Statistics, Engineering, Business, Economics, or a
• At least 2 years of professional experience in technology, finance, consulting, fund accounting
• Hands-on experience working with complex investment datasets, including multi-asset class
• Strong programming skills in Python, Spark, and/or SQL, with a solid understanding of data
• Practical experience with Databricks or other cloud-based distributed data platforms.
• Working knowledge of REST APIs and their application in data integration and processing workflows.

🎁 Benefits

• International Collaboration: Work with global project teams and colleagues across multiple regions
• Professional Development: Expand your expertise in financial analytics, investment data, Python
• Technology and Innovation: Gain exposure to advanced data platforms, AI-driven automation, and
• Career Growth: Develop your technical and analytical capabilities through challenging projects
• Meaningful Responsibilities: Take ownership of end-to-end data validation initiatives and
• Collaborative Culture: Work in an environment that values teamwork, knowledge sharing, and