Overview
Support private credit, private equity and investment reporting workflows by analysing portfolio data, calculating alternative-investment performance metrics, preparing reporting outputs and validating data quality.
What you'll do
- Prepare, review, validate and maintain recurring investment and investor-reporting outputs.
- Analyze portfolio exposure attributes, performance information, attribution data, benchmarks and related investment metrics.
- Apply and explain TWR, MWR, IRR, MOIC, TVPI, DPI and RVPI.
- Support portfolio analytics across private credit, private equity and other alternative-investment strategies.
- Review and reconcile source data, calculated metrics, reporting outputs and investor-facing information.
- Use Excel, SQL, Power BI and related tools to analyze data and produce clear reporting.
- Investigate data exceptions, calculation differences, missing information and reporting breaks.
- Maintain recurring reporting workflows, calculation logic, control procedures and supporting documentation.
- Collaborate with investment, operations, finance, fund administration, technology, risk and reporting teams.
- Own assigned workstreams from requirements clarification through analysis, validation, review and delivery.
- Support the development of dashboards, semantic models, reporting templates and repeatable analytical processes.
- Apply appropriate data controls when using approved GenAI tools for analysis, documentation or workflow support.
- Contribute to process improvement, reporting automation, data-quality enhancement and sustainable resource use.
- Ensure reporting activities support accuracy, timeliness, transparency, confidentiality and applicable governance standards.
- Track deliverables, dependencies, risks, issues and stakeholder feedback to support predictable reporting outcomes.
What you'll need
- Minimum 5 years of experience in asset management, investment banking, fund administration, financial services or a related analytical reporting role.
- Bachelor's degree in Finance, Accounting, Economics, Computer Science, Data Analytics, Business or a related field; equivalent relevant experience may be considered.
- Exposure to private credit, private equity, investment reporting, portfolio analytics, alternative investments or recurring investor-reporting workflows.
- Strong knowledge of TWR, MWR, IRR, MOIC, TVPI, DPI and RVPI, along with exposure, attribution, benchmark and investor-reporting outputs.
- Strong Excel skills, including formulas, pivot tables, lookups, Power Query and data validation.
- Experience with SQL and/or Power BI.
- Required software skills: SQL for querying, validating, joining and analyzing structured financial and portfolio data.
- Required software skills: Power BI dashboards, visualizations, data models and reporting outputs where applicable.
- Data validation tools: completeness, accuracy, consistency, reconciliation, exception and reasonableness checks.
- Investment reporting tools: recurring investor-reporting workflows, portfolio analytics, exposure reporting, performance reporting and attribution outputs.
- Reporting documentation: maintain reporting specifications, data dictionaries, calculation logic, control documentation and process procedures.
- Ability to own reporting workstreams, validate results, identify exceptions, explain calculations and deliver accurate outputs within agreed timelines.
- Understanding of confidentiality, access control, data protection and appropriate handling of investment and investor information.
- Ability to use approved GenAI tools without exposing restricted, confidential or sensitive information.
- Understanding of cloud-based data, analytics and reporting environments.
- Understanding of data lineage, definitions, source-to-report mapping, data ownership and reporting controls.
- Experience across the reporting lifecycle, including requirements analysis, data review, calculation, validation, stakeholder review, delivery and issue resolution.
- Ability to communicate complex data, performance results, assumptions, risks and recommendations clearly in written and verbal formats.
Nice to have
- Python for data analysis, reporting automation, data validation and repeatable analytical workflows.
- Approved GenAI tools: prompt engineering for analysis, documentation, workflow support or reporting activities.
- Azure or Microsoft Fabric, including semantic models and reporting environments.
- Exposure to deployment and release processes for reporting, data or analytical solutions.
- Jira and Confluence for work-item management, process documentation and knowledge sharing.
- eFront-style or comparable investment and portfolio reporting platform workflows.
- Familiarity with alternative-investment accounting concepts, side-letter requirements and ILPA reporting standards.
- Experience with semantic models, data marts, data warehouses or analytical data platforms.
- Familiarity with financial-services risk, compliance and audit requirements.
- CFA, FRM, CAIA, CIPM, Chartered Accountant or other industry-relevant professional credentials.
Details
- Location: Hyderabad, Eco Park.
Read the full description and apply on the company’s own careers page.