Provides data domain aligned support for a given business area. Ensures the quality and accuracy of data. Serves as the point of contact for data inquiries.
Vanguard’s Global Investment Data Management (GIDM) team has a Front Office Investment Data Analyst opportunity open in London. You will provide Index and Reference data domain-aligned support to our Investment Management Group (IMG) and Enterprise Investment Services (EIS), and other enterprise data clients and stakeholders to improve investment decisions and fund oversight. You will also serve as the point of contact for investment data related inquires and partner with internal teams to ensure integrity of index and security reference data.
In this role, you will:
Be responsible for timely and accurate delivery of index and security reference investment data under tight deadlines, while managing competing priorities, and analyzing multiple inputs to meet operational objectives.
Enable target index construction, portfolio modelling, and investment risk management through continuous monitoring and scrutiny of index constituent changes, corporate events, and security issuance.
Research and analyze data exceptions with internal/external data suppliers and partners whilst maintaining system and business controls to ensure data integrity and approved data distribution to the enterprise.
Escalate issues when needed to the appropriate support team, ensuring that data issues are resolved efficiently and quickly. Perform root cause analysis of data errors and provide short-term and long-term solutions, elevating issues when appropriate.
Recognize improvement opportunities based on process knowledge and recommend and implement proper solutions to gain efficiencies and ensure quality.
Build a strong network within the EIS community and share knowledge and experience. Proactively engage and work collaboratively with colleagues across GIDM and the enterprise to improve and sustain global operational processes.
Develop a strong and consistent knowledge of index methodologies and security taxonomies, and understand the details driving the global operational processes and the downstream impacts. Leverage product and operational knowledge to aid in the production of best-in-class investment data.
Provide project support by participating in acceptance and regression testing, system monitoring, and other project-related activities as needed. Monitor and ensure data quality by using existing business knowledge to create test cases and monitoring reports that ensure data accuracy and completeness.
Create, maintain, and improve GIDM’s procedures and workflows. Identify and escalate potential control gaps in a timely manner to ensure resolution and to lessen impact, contribute to maintaining an efficient and robust control environment.
What it takes:
Undergraduate degree is desirable (preferably in accounting, finance, economics, or related field).
Minimum of three years relevant work experience within financial and investments industry with background in Data Management, Middle Office, Investment Operations, Portfolio Management. Prior exposure to Front Office and indexing strategies is a plus.
Strong analytical ability, research-driven problem solving, and time / attention management skills required.
Strong verbal and written communication skills. Ability to work effectively in a distributed team environment.
Strong judgment and ability to analyze issues and make quality decisions under pressure.
Strong, demonstrated problem identification, analysis, and resolution skills.
Advanced knowledge and skills using current versions of the Microsoft Office Suite. Working knowledge of VBA, SQL or Python is a significant plus.
Strong work ethic and ability to work in a fast-paced environment to provide internal clients with critical deliverables in a timely manner.
We are Vanguard. Together, we’re changing the way the world invests.
For us, investing doesn’t just end in value. It starts with values. Because when you invest with courage, when you invest with clarity, and when you invest with care, you can get so much more in return. We invest with purpose—and that’s how we’ve become a global market leader. Here, we grow by doing the right thing for the people we serve. And so can you.
We want to make success accessible to everyone. This is our opportunity. Let’s make it count.
Inclusion at Vanguard
Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally, employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.”
We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.
When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose
Future of Work
During the pandemic, we transitioned to a work from home model for the majority of our crew and we continue to interview, hire, and on-board future crew remotely.
As we have developed the path forward, we have taken a thoughtful approach that both maximizes the advantages of working remotely and the many benefits of coming together and collaborating in a shared workspace. We believe that in-person interactions among our crew are important for preserving our unique culture and advantageous for the personal development of our crew.
When our Crew return to the office, many will work in our hybrid model. A smaller proportion of our crew will operate in the Work from Home work model (for example, field sales crew); or in the Work from Office model (for example, portfolio managers).
The working model that your role falls into will be communicated to you in the interview process – please do ask if you are unsure. We encourage you to make the decision regarding your job interview and offer knowing which model your role will fall into. We will test and learn as our ways of working evolve and will continue to evaluate working models along the way.