Instrument Modelling Senior Specialist

Description The Performance and Attribution team sits within the wider Investment Analytics group and provides performance information and portfolio analysis for Fidelity International Limited (FIL) worldwide. The new formally team will operate a hub a spoke model with two centres of excellence in Dublin (Ireland) and Dalian (China) supported by local specialists in London, Tokyo and Hong Kong. The Investment Analytics function brings together Trading Analytics, Portfolio Construction Service and the Performance and Attribution teams into order to create a best in class service to our stakeholders. The Analytics Operations is a newly created team focused on data validation, reconciliations and reporting for risk and attribution teams in order to create a best in class centralised service. 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.