AVP, Business Data Operations

3 weeks ago


Singapore GIC Full time
Overview

Join to apply for the AVP, Business Data Operations role at GIC .

GIC is one of the world's largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world's industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore's financial future, and the communities we invest in worldwide.

Investment Services Public Markets
We strive to support business groups with digital capabilities and deliver environmental, social and governance focused capabilities, and market expertise.

Data Solutions & Services
You will help to design and lead strategic data solutions build-out to support our public markets investment capabilities. You will also conduct research and manage the implementation of data services for all investment strategies and new product lines, through the establishment of strategic partnerships and foster best practices in operating and service models.

The Business Data Operations team is responsible for all data operations to support our public markets investment capabilities. We are a team of data domain subject matter experts, providing highly quality and timely data used across the Organisation. The team is also responsible for operationalization of data services for all investment strategies & new product lines, leveraging a range of expertise and through the establishment of strategic partnerships across the firm and in the market, to embed and enforce best practices in data operating models.

What impact can you make in this role?

You will be part of a team that is an integrated investment service team that partners the business in providing services to support public markets investment.

We are seeking a highly skilled and motivated candidate, preferably with Artificial Intelligence working knowledge, to join our team and contribute to the development and management of GIC's enterprise Master Data Management (MDM) system. This system will serve as the "single source of truth" for all related data sets of entities and instruments, powering all enterprise data requirements with harmonized attributes. The MDM system will provide a complete view of exposures, enhance decision-making, and drive better insights across the organization. You will collaborate with systems and/or managed service providers to enhance and run our reference data management processes, ensuring seamless data integration and accessibility throughout GIC.

What will you do as an AVP, Business Data Operations?
  • Serve as a Subject Matter Expert, leading the development of business user requirements, designing testing strategies for user acceptance testing, and advising business units on data usage and data solutions that add value.
  • Manage and operate data management activities, including investigating and resolving data-related problems, exceptions, and data quality issues.
  • Provide guidance in evaluating business requests for data and assessing operational readiness for new products and/or markets.
  • Identify and implement process improvements and initiatives to drive efficiency, effectiveness and enhance business capabilities and performance.
  • Apply forward-thinking and a strategic mindset to build, innovate, and transform GIC's data management capabilities, aligning with industry best practices.
Qualifications
  • Degree in Finance, Accounting, Information Systems or relevant disciplines.
  • 4-8 years of relevant work experience, preferably in the finance, investment or asset management industry. Business domain knowledge of derivatives contracts, structured products or private markets will be a strong bonus.
  • Self-starter with strong learning agility and adapt quickly.
  • Detail-oriented with strong analytical and troubleshooting skills.
  • Excellent stakeholder management and influencing skills.
  • A meticulous and motivated individual who thrives in a fast-paced, dynamic environment.
  • Experience or aptitude in a transformative role such as reinvigorating an operations function and driving change will be advantageous.
  • Forward looking with strong hands-on understanding of key principles, processes and controls relating to data management and reporting.
  • Working knowledge in Python, SQL, or AI tool is a plus.

Work at the Point of Impact

We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.

Flexibility at GIC

At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection. At the same time, we believe that flexibility allows us to do our best work and be our best selves. Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

GIC is an equal opportunity employer

GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Please email at any point of the application or interview process if adjustments need to be made due to a disability.

Learn more about our Investment Services Public Markets Department here:

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