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362
Applications:  104
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Posted in

Consulting

Job Code

1666390

Fidelity International - Senior Specialist - Multi Asset Analytics

Posted 1 month ago

- We are proud of our inclusive culture and encourage applications from the widest mix of talent, whatever your age, gender, ethnicity, sexual orientation, gender identity, social background and more.

- As a flexible employer, we trust our people to perform their role in the way that works best for them, our clients and our business.

- We are a disability-friendly company and would welcome a conversation with you if you feel you might benefit from any reasonable adjustments to perform to the best of your ability during the recruitment process and beyond.

Department 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.

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Job Views:  
362
Applications:  104
Recruiter Actions:  0

Posted in

Consulting

Job Code

1666390