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. You will work extensively with multi-asset investment datasets, leveraging Python, SQL, Spark, and cloud-based data platforms to investigate anomalies and deliver actionable insights. Collaborating with international project teams, you will help resolve complex data challenges while ensuring projects meet deadlines and quality standards. You will also explore AI-driven automation and large language model (LLM) integrations to streamline workflows and improve operational efficiency. This is an exciting opportunity to combine financial data expertise, technology, and problem-solving in a fast-paced, globally collaborative environment. Accountabilities: - Lead and manage end-to-end data validation activities for financial data conversion projects, ensuring accuracy, consistency, and compliance with established quality standards. - 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. - Prepare detailed validation findings, discrepancy analyses, progress reports, and project status materials to ensure effective monitoring and timely project completion. - Investigate portfolio data performance discrepancies, identify underlying causes,



and recommend appropriate solutions to resolve manual data issues. - Review, compare, and document differences in financial system calculation methodologies to ensure consistency and accuracy across platforms. - Work with complex investment datasets, including multi-asset portfolios, investment performance information, and market data from multiple sources. - Collaborate with global project teams across different regions and time zones, providing regular updates and maintaining clear expectations regarding project progress and deliverables. - Identify potential project risks, communicate critical blockers, and escalate significant issues to project leads and management when necessary. - Manage competing priorities and multiple projects simultaneously, ensuring timely delivery and maintaining high standards of accuracy. - Identify and implement opportunities for AI-powered automation and LLM integrations to improve data validation processes and streamline project implementation. - Take ownership of assigned deliverables, proactively address technical challenges, and contribute to continuous improvements in data analytics practices. Requirements: - Bachelor's degree in Finance, Mathematics, Statistics, Engineering, Business, Economics, or a related discipline. Progress toward CFA or FRM certification is an advantage. - At least 2 years of skilled experience in technology, finance, consulting, fund accounting, investment operations, or a related field. - Hands-on experience working with complex investment datasets, including multi-asset class portfolios, financial performance data, and market data from various sources. - Strong programming skills in Python, Spark, and/or SQL, with a solid understanding of data processing and ETL fundamentals. - Practical experience with Databricks or other cloud-based distributed data platforms.

📌 SQL Server Architect (India)
🏢 Jobgether
📍 India