Location:

Hyderabad, India (Hybrid Schedule; 3 days in office)
Working Hours:

2 PM to 11 PM IST

Job Description
Our Risk & Reporting (R&R;) team is building performance analytics, investor reporting, and reporting automation across closed-end, open-end, and evergreen strategies. In this role, you will lead the build, automation, refresh support, and controls for Emerging Markets Debt dashboards, datasets, and recurring reporting deliverables.

Data Engineering & Architecture
Design and maintain data pipelines and dimensional models using SQL, Python, Power BI, Microsoft Fabric/Azure, and relevant AWS services.
Automate data ingestion from internal systems, data warehouses, vendor files, Salesforce, and other reporting sources.
Build ELT/ETL workflows for portfolio, performance, exposure, attribution, cash activity, and reporting-control data.
Develop reusable SQL and Python tools for data engineering, integration, validation, and testing.
Business Intelligence, Automation & Controls
Create Power BI dashboards, semantic models, paginated reports, DAX measures,



Power Query transformations, and deployment assets.
Troubleshoot dataset refreshes, gateway issues, transformation errors, and publishing issues.
Apply Git, CI/CD, documentation, logging, and data-quality controls to make recurring reports reliable and auditable.
Use infrastructure-as-code and orchestration tools where appropriate.
Emerging Markets Reporting
Support Emerging Markets Debt performance, exposure, portfolio, benchmark, and investor-reporting workflows.
Maintain EM dashboards and resolve Power BI and OneLake refresh or data issues.
Build checks for issuer, security, region, country, currency, valuation, cash-flow, benchmark, and performance data.
Partner with investment, R&R;, Data Management, Technology, and Finance teams to resolve data gaps and improve reporting reliability.
Partnership & Delivery
Translate business needs into technical specifications, delivery plans, data dictionaries, acceptan

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