Job Description

Description

WTW Investments

WTW Investments is a bespoke asset manager that provides investment services to some of the largest pensions, government, and insurance clients in the world. We manage about USD 180 billion AUM seeking to deliver lower risk and/or higher returns. We provide access to specialist asset classes such as alternatives, pooled funds, illiquid assets, credit, discrete income assets and equities by investing in capital markets or through specialist investment managers. Learn more at wtwco.com/en-GB/Solutions/investments.

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.

  • Manage market and enterprise datasets across multiple platforms, ensuring data accuracy, integrity, and adherence to governance standards
  • Perform data quality checks, reconciliations, and exception management, working with investment teams, SMEs, and external data providers to resolve issues within agreed SLAs
  • Support the onboarding and ongoing management of market data sources and internal data feeds
  • Develop and maintain efficient data management processes, supporting ad hoc data requests and system transitions
  • Take ownership of processes and projects, driving continuous improvement and collaborating 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 ‘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.

Performance Objectives

  • Clients – work with investment analysts to ensure that projects are completed on time and meets quality standards
  • Financial/Business KPIs – maintain accurate time records
  • People – build relationships internally and collaborate effectively with team
  • Operational Excellence and Innovation – implement Operational Excellence in all programs and adhere to client, local and international compliance requirements

Qualifications

  • Bachelor’s degree, preferably in finance, capital markets, or a related discipline
  • At least 5 years’ experience in investment management, data management or a similar data focused role
  • Strong understanding of data management principles, including data sourcing, validation, cleansing, transformation, and quality controls
  • Experience working with market and reference data from vendors such as Bloomberg, FactSet, or similar platforms, including vendor data validation and reconciliation
  • Proficiency in Microsoft Office tools
  • High proficiency in written and verbal English, with the ability to communicate clearly with technical and non technical stakeholders
  • Strong analytical skills, attention to detail, and the ability to manage multiple priorities and deadlines

WTW is an Equal Opportunity Employer


Job Details

Role Level: Not Applicable Work Type: Full-Time
Country: Philippines City: Taguig National Capital Region
Company Website: https://www.wtwco.com/ Job Function: Data Science & AI
Company Industry/
Sector:
Financial Services

What We Offer


About the Company

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