Purpose of your role
We are seeking a detail-oriented and analytical professional to join our Attribution operations team. The analyst will play a critical role in supporting the transition of investment performance and risk data to a new platform. The focus will be on ensuring accurate instrument modelling, data integrity, and process robustness to deliver a high-quality analytical environment. The position involves detailed data and model analysis, hands-on validation, and collaboration with data management, technology, and investment risk teams. Deviations are systematically screened and need to be investigated / resolved. Working in a larger team this successful candidate will be responsible for validating, modelling, and correcting data to enable accurate risk calculations and reporting.
Key Responsibilities
- Instrument Modelling & Analytical Frameworks
- Perform detailed analysis of financial instrument structures (Fixed Income, Derivatives, FX, Multi-Asset overlays, etc.) to ensure they are correctly represented and valued within the MSCI framework.
- Identify gaps or deviations in instrument coverage and collaborate with vendor and internal teams to enhance model definitions and configuration.
- Data Modelling
- Model securities and related attributes to ensure proper risk representation (e.g., duration, convexity, credit ratings, pricing).
- Apply appropriate methodologies for complex instruments such as derivatives, structured products, and alternative investments.
- Reconciliation & Issue Resolution
- Investigate and correct rejected or invalid data feeds.
- Liaise with operations, data management, and technology teams to implement corrective actions.
- Risk & Attribution System Support
- Ensure securities are correctly configured for risk calculations (e.g., VaR, stress testing, scenario analysis).
- Assist in system enhancements and testing related to data integration and risk modelling.
- Stakeholder Communication
- Provide timely updates on data issues and resolution progress.
- Partner with portfolio managers, risk teams, and performance teams to ensure attribution accuracy.
- Project Deliverables
- Contribute to the organisation change programme and deliver solutions to onboard funds to attribution system
Experience and Qualifications Required
- Ideally university-educated, with a degree in Statistics, Mathematics, Finance, Economics or Computer Science.
- Proven experience in investment risk, attribution, or related financial services operations.
- Strong understanding of investment products (fixed income, equities, derivatives, structured products).
- Knowledge of risk concepts (VaR, CvaR, sensitivities, stress testing) and how they apply to security modelling.
- Proficiency in data analysis tools (Excel, SQL; Python or VBA a plus).
- Experience with risk systems (e.g., Barra, Factset RiskMetrics, Bloomberg PORT, or similar).
- Strong problem-solving skills and attention to detail.
