Overview
Lead end-to-end data validation for data conversion projects, working on financial portfolio data and building scalable, automated validation solutions.
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
- Review, compare and document system calculation methodologies differences
- Coordinate across global project teams and time zones, communicating regular status updates for assigned data projects while effectively setting expectations
- Mitigate project risks by effectively escalating key impediments to project leads and management
- Prioritize and context-switch effectively to complete simultaneous projects, seeing each through to the finish line
- Identify and implement AI-driven automation and LLM integrations to streamline implementation
What you'll need
- Bachelor's degree in Finance, Mathematics, Statistics, Engineering, Business, Economics or a related field
- 2+ years experience working in Technology, Finance, Consulting, fund accounting or investment operations
- Hands-on experience working with complex investment datasets, including multi-asset class portfolios, performance data, and market data from various sources
- Proficiency in Python, Spark, and/or SQL with familiarity of ETL fundamentals
- Working knowledge of REST APIs
- Experience with Databricks and/or a cloud-based distributed data platform
- Proven ability to research, design and implement solutions for complex problems
- Clear written and verbal communication skills, with the ability to document complex findings and work effectively with colleagues across time zones
- Able to work hours that regularly overlap with teams in the US and UK
- Independent, adaptable and able to thrive in a fast-paced environment
- Solution-oriented approach and a passion for problem solving
- Positive attitude, strong work ethic, proactive and a high contributing team player
Nice to have
Details
- Location: Pune, India
- Applicants must have legal authorization to work in the country where this role is based on the first day of employment
- Visa sponsorship is not available for this position
Read the full description and apply on the company’s own careers page.