Lead Portfolio Analytics Architect

Overview

Lead a team of Portfolio Analytics Architects who run end-to-end data validation for data conversion projects, while driving team performance and internal tooling and process improvements.

What you'll do

• Lead a team of Portfolio Analytics Architects, performing projects as a player/coach.
• Set team objectives, goals and metrics to meet expectations for productivity, quality and goal accomplishment.
• Identify and drive improvements to processes and tools to streamline, scale and automate workflows.
• Develop employees through performance management, consistent 1:1s, semi-annual performance reviews and career development planning.
• Plan staffing levels and work with recruiting staff to recruit, interview, select and hire employees.
• Coach, mentor and develop staff, including overseeing new employee onboarding.
• Delegate responsibility and expect accountability and regular feedback from your team.
• Develop scalable data analytics processes for validation in Databricks.
• Write custom Python logic to detect large-scale data anomalies and automate remediation.
• Identify and implement AI-driven automation and LLM integrations to streamline implementation.
• Lead internal management and strategic initiatives to grow the Data Analytics practice.
• Amplify the mandate of the team and help execute on the team strategy.
• Partner with leads across regions to optimize team and process efficiency.
• Drive prioritization, process and execution consistency; manage team performance.
• Prioritize and context-switch effectively to complete simultaneous projects.
• Contribute to, drive and collaborate on best practices for consistent, quality delivery of Data Solutions.

What you'll need

• Demonstrated leadership and managerial ability with proven success leading teams, projects and cross-functional initiatives.
• Bachelor's degree in Finance, Mathematics, Statistics, Engineering, Business, Economics or a related field.
• 5+ 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.
• Solution-oriented approach and a passion for problem solving.
• Proven ability to research, design and implement solutions for complex problems.
• Positive attitude, strong work ethic, proactive and a high contributing team player.
• Independent, adaptable and able to thrive in a fast-paced environment.
• Clear written and verbal communication skills, with the ability to document complex findings, represent the team's work to stakeholders and work effectively with colleagues across time zones.
• Able to work hours that regularly overlap with teams in the US and UK.

Nice to have

• CFA or FRM progress.
• Previous experience in investment management software implementations.
• Previous experience with Salesforce.

Details

• Location: Pune, India.
• Applicants must have legal authorization to work in India on the first day of employment; visa sponsorship is not available.