Jobs at FE fundinfo

Provide HR administrative support across the employee lifecycle for a global organisation: maintain HRIS records, coordinate onboarding/offboarding, manage background checks and compliance, assist employee engagement, prepare employment contracts and HR reports, and support HR operations during a 6-month contract.

Coordinate end-to-end onboarding of investment and Private Markets data sources, including acquisition, ingestion, validation, quality assurance, and KPI reporting. Analyze data coverage gaps, prioritize onboarding initiatives, and collaborate with asset managers, suppliers, and internal stakeholders to expand data capabilities while maintaining efficient, scalable, and compliant processes.

Capture, analyze, and document client requirements for onboarding projects. Translate needs into practical platform configurations, support service delivery, coordinate with project and data teams, provide third-line support, and manage ongoing configuration changes. The role also shares client feedback with product teams, develops deep product expertise, and may mentor junior colleagues while working across Waterfall, Agile, and Scrum environments.

Lead HR analytics, reporting, and automation projects: build and automate HR dashboards, support HRIS administration and module deployments, collaborate with AI Transformation to design automation/AI solutions, analyse people data and present insights to stakeholders, and follow company security policies.

Conduct data quality checks across multiple endpoints, identify and resolve inconsistencies, manage new-client onboarding data integration, respond to client data inquiries, track quality metrics, and collaborate with internal teams to maintain data integrity.

Manage a portfolio of financial services clients, build stakeholder relationships, support retention, and identify upsell and cross-sell opportunities. Understand client needs, recommend tailored data and technology solutions, manage renewals and pricing discussions, maintain Salesforce records, monitor account risks and pipeline activity, and collaborate with Sales, Marketing, Product, and Data teams to drive customer value and commercial growth.

Provide administrative and coordination support to an investment research team: schedule meetings, manage calendars and travel, maintain CRM and contracts, handle shared inboxes, prepare agendas and registers, ensure documentation accuracy, and collaborate with Legal and internal stakeholders to maintain operational efficiency.

Perform accurate updates and quality checks on mutual fund data, label and validate AI-extracted data, meet extraction targets, escalate defects, provide status updates, and generate project reports to support management.

As a Product Manager, you will lead AI-first pods, drive product roadmaps, prioritize customer needs, and collaborate effectively across teams to deliver AI-powered solutions.

Manage end-to-end transactional finance processes including billing, credit control, supplier invoice processing, payment runs, reconciliations, and support month-end/year-end reporting. Prepare management reports, collaborate with internal teams and auditors, and contribute to continuous improvement in a fast-paced global fintech environment.

Manage distributor data cases end-to-end, act as primary client contact, build and maintain data connections, support coverage and reporting, and source data from public providers to improve the data ecosystem.

Provide front-line support for fund data clients: log, prioritise and resolve enquiries across channels; investigate and fix fund data issues; collaborate with data operations and product support; meet SLAs and quality metrics; contribute to documentation and knowledge sharing.

The Principal Engineer will lead the design and delivery of solutions in Microsoft ecosystems, mentor a team, and ensure compliance with best practices.

Lead design, governance, and migration of an enterprise Microsoft Fabric data platform. Build medallion (Bronze/Silver/Gold) architectures, end-to-end pipelines, semantic models, OneLake catalog governance, and Power BI reporting while providing technical leadership and performance monitoring.

Lead production of high-quality research on managed funds and multi-asset strategies, present sector reviews to stakeholders, monitor risk-adjusted fund performance, track market and sector developments, deliver timely monthly research outputs, and collaborate to support investment outcomes.