Investment Performance Data Specialist

About the role

Mercer's Investment Solutions business, part of the Operations Unit, manages data strategy and vision for its investment solutions, coordinating data owners and stakeholders such as Portfolio Management, Operations, Compliance, Technology and third-party vendors. The Investment Performance Data Specialist reports to the Global Investment Data and Performance Solutions Leader and works with the Performance Team to deliver trustworthy, timely and accurate data.

Key responsibilities

• Partner with the Performance Team to understand their capabilities and requirements, working with platform providers and technology teams to implement tailored solutions.
• Work with business teams to understand performance workflows and develop data support models that drive growth locally and globally.
• Support the roadmap for performance calculation and analysis capabilities, prioritise and sequence activities, and define metrics and dashboards to monitor progress.
• Foster collaboration with business, data and technology partners and act as an ambassador for a data-driven culture.
• Maintain relationships with key stakeholders and vendors aligned to the Performance Team's needs.
• Identify opportunities for data and workflow innovation, including new tools and technologies such as AI, and integrate continuous improvement into the data backlog.

Required profile

• 8-10 years of experience in data-focused roles involving business and technology teams.
• Familiarity with data ecosystems in asset and/or wealth management, especially performance processes and inputs such as accounting, pricing and benchmarks.
• Knowledge of vendors and technologies related to performance and data activities.
• Strong communication, interpersonal and collaboration skills, able to work under pressure and drive change.
• Certifications such as CFA and CAIA are a plus.

Required skills

• Hands-on data wrangling, data creation, governance, integration and interrogation.
• Ability to define and implement data structures, data quality controls and scalable datasets for analytics and reporting.
• Exposure across investment asset classes and derivatives instruments.
• Knowledge of cloud, automation, AI/ML and emerging technologies.

The role is based in Dublin and follows a hybrid model: colleagues must be in the local office or onsite with clients at least three days per week, with anchor days for team collaboration.