Multi Asset Analytics Operations 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 an experienced and dynamic individual to work within the team and support the ongoing operation of our Risk & Attribution teams. The role will involve working across different asset classes to ensure that requirements are fulfilled, stakeholders are appropriately engaged, and successful solutions are implemented. This role involves validating input data, reconciling positions and valuations, investigating discrepancies, and collaborating with internal teams to maintain high standards of data quality for performance attribution analysis Key Responsibilities Data Validation & Quality Control Perform daily checks on fund and derivative instruments including duration, spreads, etc.Perform daily checks on multi asset (fund of fund) attribution data, including positions, valuations, and transaction details.Validate benchmark data and ensure consistency with internal systems.Identify and resolve data anomalies, breaks, and mismatches across multiple sources. Attribution Process Support Ensure accurate mapping of securities, sectors, and risk factors for attribution models.Manage the applications to provide attribution services (internal and external systems)Support attribution calculations by verifying input data integrity.Collaborate with performance analysts to address data-related issues impacting attribution results. Reconciliation & Issue Resolution Reconcile portfolio holdings and benchmark data against custodian and internal records.Investigate and document root causes of data discrepancies.Liaise with operations, data management, and technology teams to implement corrective actions. Controls & Governance Maintain and enhance data quality control frameworks.Document processes and contribute to continuous improvement initiatives.Ensure compliance with internal policies and regulatory requirements. 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. Experience with data validation, reconciliations, and reporting in a financial context. Exposure to data science and analytics using Python and SQL is a strong advantage Excellent analytical skills with the ability to develop solutions and improve processes. Ability to work collaboratively across different asset classes and geographies. Familiarity with financial systems and tools used for risk and performance analysis. Strong problem-solving skills and attention to detail. Understanding of bottom-up Fixed Income performance attribution, derivative pricing & risk modelling is preferrable.