Head of Risk & Attribution Operations

Department Description

The Performance Analytics group 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 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 Manager to lead the establishment and ongoing operation of our Risk & Attribution Operations team in Bangalore. This role is pivotal in creating a best-in-class centralised service focused on data validation, reconciliations, and reporting to support our global risk and attribution functions.

Additionally, the role will involve working across different asset classes to ensure that requirements are fulfilled, stakeholders are appropriately engaged, and successful solutions are implemented.

Key Responsibilities

• Team Leadership: Recruit, develop, and lead a team of 8-10 professionals, fostering a collaborative and high-performing culture.
• Analytics Operations: Establish robust analytics operational processes to ensure the accuracy and integrity of data for our downstream risk and performance systems.
• Cross-Functional Collaboration: Work closely with senior management, junior developers, and stakeholders across various asset classes to identify requirements and implement successful solutions.
• Stakeholder Engagement: Engage effectively with stakeholders to understand their needs and communicate progress, challenges, and solutions.
• Continuous Improvement: Identify opportunities for process improvements and drive initiatives to enhance operational efficiency and data quality.

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
• Strong leadership skills with experience in building and managing teams.
• Excellent analytical skills with the ability to develop solutions and improve processes.
• Effective communication and interpersonal skills to engage with stakeholders at all levels.
• 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.