Lead Portfolio Analytics Architect

New

JobgetherInvestment analytics

Workplace type: Remote; based in India, Regular overlap with US and UK teams; UK shift of 2:30 PM–11:30 PM IST.Full-TimeLead

Salary not disclosed

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Job Details

Experience: At least 5 years of experience in technology, finance, consulting, fund accounting, or investment operations.
Required Skills: Project ManagementPythonSQLETLSparkRESTful APIsDatabricks

Bachelor's degree in Finance, Mathematics, Statistics, Engineering, Business, Economics, or a related discipline.
At least 5 years of experience in technology, finance, consulting, fund accounting, or investment operations.
Demonstrated experience managing teams, projects, and cross-functional initiatives.
Hands-on experience with complex investment datasets, including multi-asset-class portfolios, investment performance data, and market data from multiple sources.
Proficiency in Python, Spark, and/or SQL.
Solid understanding of ETL fundamentals and working knowledge of REST APIs.
Experience with Databricks or another cloud-based distributed data platform.
Ability to lead, coach, motivate, and develop teams and manage performance.
Ability to investigate complex challenges, identify root causes, and implement process improvements.
Ability to manage competing deadlines and coordinate multiple initiatives.
Strong written and verbal communication skills, including documenting technical findings and collaborating with international stakeholders.
Flexibility to regularly overlap working hours with teams in the United States and United Kingdom.

Lead, mentor, and manage Portfolio Analytics Architects while balancing people management with hands-on project delivery.
Set team objectives, performance metrics, and priorities; conduct performance reviews and support employee development.
Assess staffing needs and work with recruitment teams to attract, interview, select, and onboard professionals.
Oversee end-to-end validation projects for complex investment portfolios and ensure data accuracy and consistency.
Develop scalable analytics processes using Databricks and build Python solutions to detect anomalies and automate remediation.
Identify workflow improvements and introduce AI-driven automation and LLM integrations.
Contribute to Data Analytics practice strategy and collaborate with regional leaders on team performance and service delivery.
Coordinate multiple projects, track execution and deadlines, communicate findings, and resolve delivery challenges.
Establish methodologies, technical standards, and best practices for quality data solutions.

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