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Tier-1 brand, Bangalore metro, mid-level generalist data role increases applicant competition.
Strong asset-management domain experience required limits transferability across industries.
Mandatory 5+ years, asset-management domain expertise, and SQL/Python/PowerBI requirements make shortlisting strict.
Lead complex data analysis and reporting initiatives for asset management operations to generate actionable insights.
Serve as the primary data subject matter expert (SME) within a cross-functional Scrum team, facilitating stakeholder collaboration and decision-making.
Drive data sourcing, functional design, mapping, validation, and quality management for asset management datasets including AUM, Flows, Performance, Fees, ESG, and more.
Minimum 5 years of hands-on data analysis experience, preferably in asset management or financial services.
Proficiency in SQL, Python, Power BI, and relational database/data warehouse management.
Bachelor’s degree in Economics, Finance, Mathematics, Computer Science, or equivalent work experience.
Experience working effectively in a Scrum/agile environment.
Advanced expertise in asset management data domains such as AUM, Flows, Performance, Attribution, Fees, and ESG metrics.
Demonstrated ability to lead data-driven projects that have significant financial and client impact within a collaborative Scrum team.
Experience in mentoring junior team members and presenting data-driven business recommendations to senior management.