Data Operations Analyst

The Data Office for WTW Investments is a central team that is responsible for sourcing, creation and maintenance of datasets which is fit-for-purpose, timely and accurate; with the objective to deliver on business outcomes such as trading, analytics, reporting and performance measurement. The team maintains the golden source of multiple datasets such as Instruments, Pricing, Counterparty, Client etc. and ensures the integrity of the data using data quality and standards frameworks. 

The role requires the candidate to help support the business in delivering on specific projects and continuing to support BAU activities for the various datasets. The candidate will quickly build a sound understanding of our business structure and the information within it, while working with a diverse mix of investment professionals of different backgrounds and experience levels.
 

The Role

• Maintain dataset across multiple platforms (ex: new clients, pricing, valuations and portfolio details) based on procedures and protocols.
• Perform data quality control checks, liaising with Subject Matter Experts (SMEs) as required
• Carry out exception reporting and resolution tracking. Ensuring aged and critical exceptions are resolved within the agreed SLA.
• Develop competence with internal systems and processes
• Support ad hoc data extractions requests from internal stakeholders 
• Develop and maintain robust processes to ensure data is accurate and meets business needs
• Have the opportunity to take ownership of projects and processes.
• Assist with the documentation of processes
• Develop technical expertise and collaboration within the team and across the Investments business

The successful candidate will be expected to work within the existing risk management and audit framework of the team and business, which includes checklists and review processes, branded ‘Professional Excellence’. All team members are encouraged to contribute ideas for process improvements.

Throughout you will benefit from the business’s focus on training and development, including soft-skills, investment knowledge and data expertise.

The Requirements

• Candidate should be a new graduate with focus in the areas of data management, programming and finance.
• Advanced knowledge or certification in automation tools (Power Automate) is highly desirable but not mandatory.
• Understanding of Data Management principles on areas of sourcing, cleansing, transformation etc will be advantageous.
• Other skills such as Python or R coding (highly desirable but not essential).
• Proficiency in English, both in written and verbal communications is mandatory.

Equal Opportunity Employer