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

nWorking Hours: 2 PM to 11 PM IST

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nOur 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.

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nData Engineering & Architecture

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

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- Create Power BI dashboards, semantic models, paginated reports, DAX measures, Power Query transformations, and deployment assets.
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- Troubleshoot dataset refreshes, gateway issues, transformation errors, and publishing issues.
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- Apply Git, CI/CD, documentation, logging, and data-quality controls to make recurring reports reliable and auditable.
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- Use infrastructure-as-code and orchestration tools where appropriate.
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nEmerging Markets Reporting

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- Support Emerging Markets Debt performance, exposure, portfolio, benchmark, and investor-reporting workflows.
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- Maintain EM dashboards and resolve Power BI and OneLake refresh or data issues.
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- Build checks for issuer, security, region, country, currency, valuation, cash-flow, benchmark, and performance data.
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- Partner with investment, R&R;, Data Management, Technology, and Finance teams to resolve data gaps and improve reporting reliability.
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nPartnership & Delivery

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- Translate business needs into technical specifications, delivery plans, data dictionaries,



acceptance criteria, and support playbooks.
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- Review work, mentor junior team members, and coordinate handoffs between US stakeholders and the Hyderabad team.
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- Use approved GenAI tools responsibly for analysis, documentation, testing, and troubleshooting.
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nExperience Required

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- 5+ years in data engineering, BI development, reporting automation, or analytics engineering; financial services experience preferred.
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- Strong hands-on skills in SQL, Python, Power BI, DAX, Power Query/M, semantic models, paginated reports, and production data validation.
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- Working knowledge of Microsoft Fabric/Azure and/or AWS cloud data platforms.
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- Familiarity with investment performance measures such as TWR, MWR, IRR, MOIC, TVPI, DPI, and RVPI, as well as exposure, attribution, benchmarks, and investor reporting.
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- Solid communication skills and the ability to turn reporting and data-control requirements into technical solutions.
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nPreferred Experience

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- Schema design, change data capture, orchestration, secure data access, Git, CI/CD, testing, and release controls.
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- Investment reporting systems and tools such as Geneva, IPS, Salesforce, Workday, AXON, eFront-style platforms, Jira, and Confluence.
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- Exposure to private credit, opportunistic credit, Emerging Markets Debt, portfolio construction, investment performance, or client reporting.
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- AWS Data Analytics, Power BI Data Analyst, Azure/Fabric, CFA, FRM, CAIA, or CIPM credentials.
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nPersonal Attributes

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- Enjoys building reliable data products that replace manual reporting.
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- Curious and thorough when investigating source-data or production issues.
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- Organized and able to manage technical projects, incidents, documentation, and deadlines independently.
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- Collaborative, professional, and willing to mentor others.
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nEducation

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- Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, Finance, Accounting, or a related analytical field; equivalent deep experience building data and BI solutions in investment management may also qualify.
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📌 Associate, Reporting & Portfolio Analytics (Emerging Markets) (Hyderabad)
🏢 BuzzClan
📍 Hyderabad