Investment Data Support Specialist
AI in this role
Core Responsibilities
Serve as a primary liaison between portfolio managers, traders, relationship managers, custodians, and internal partners to provide guidance across portfolio administration and data issues, determining appropriate escalation, resolution paths, and risk mitigation.
Leads daily ad-hoc portfolio administration and operational activities in accordance with defined procedures and objectives.
Perform analysis and reconciliation of investment and portfolio data inputs, including evaluating data trends, modeling impacts to portfolio positioning, and identifying potential data, valuation, or trade readiness risks requiring further action or control enhancements.
Supports the maintenance, delivery, and validation of investment, market, and portfolio data across systems.
Identify, investigate, and resolve data exceptions and operational issues through performing root cause analysis, assessing operational and portfolio risk implications, and recommending corrective actions or control improvements.
Builds and maintains foundational knowledge of investment products, trade lifecycle processes, and operational risk considerations relevant to supported functions.
Participate in the onboarding and administration of new portfolios, products, or market driven events by supporting requirements gathering, data validation, and testing activities.
Supports the development of dashboards, operational reports, and management information. Contributes to process documentation, standard operating procedures, and continuous improvement initiatives to enhance efficiency, accuracy, and control.
Participates in special projects and performs other duties as assigned.
Qualifications
Minimum of three years’ experience in the Financial Services industry or related experience.
Undergraduate degree or equivalent combination of training and experience.
Demonstrated ability to build and maintain strong relationships with stakeholders and business partners.
Strong attention to detail with experience working in environments where accuracy and risk management are critical.
Ability to navigate ambiguity, adapt to changing priorities, and succeed in evolving operational environments.
Strong analytical and problem-solving skills with the ability to investigate and resolve complex issues.
Interest in financial markets, investing, and the investment management industry.
Preferred Qualifications
Experience supporting portfolio managers, trading functions, investment operations, or market-facing activities.
Knowledge of investment products, portfolio management concepts, or trade lifecycle processes.
Proficiency with Python, VBA, SQL, or other data analysis and automation tools.
Progress toward or completion of a CFA designation, MBA, or other investment-related credential.
**This is a fully onsite position, Monday-Friday in Malvern, PA**
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.About Vanguard
At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
How we rate this
Investment Data Support Specialist at Vanguard rates 32 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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