Multi Asset Analytics Operations Senior Specialist

About the Opportunity

Job Type: Permanent

Application Deadline: 21 December 2025

Job Description

                                                                                                

Title                 Multi Asset Analytics Operations Senior Specialist

Department      Asset Management CAO Team       

Location          Gurgaon

Reports To       Head of Attribution Operations

Level                5

About Fidelity International

Fidelity International offers investment solutions and services and retirement expertise to more than 2.5 million customers globally. As a privately held, purpose-driven company with a 50-year heritage, we think generationally and invest for the long term. Operating in more than 25 locations and with $611.4 billion in total assets, our clients range from central banks, sovereign wealth funds, large corporates, financial institutions, insurers and wealth managers, to private individuals.

Our Workplace & Personal Financial Health business provides individuals, advisers and employers with access to world-class investment choices, third-party solutions, administration services and pension guidance. Together with our Investment Solutions & Services business, we invest $471 billion on behalf of our clients. By combining our asset management expertise with our solutions for workplace and personal investing, we work together to build better financial futures. Find out more about what we do, our history, and how you could be a part of our future at careers.fidelityinternational.com/about-us.

Our clients come from all walks of life and so do we.  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.