Top Tech Jobs & Startup Jobs in London

Build and maintain investment data solutions, quantitative models, performance attribution systems, dashboards, and automated reporting workflows. Partner with investment, technology, and risk teams to support portfolio construction, research, manager selection, and investment oversight. Responsibilities include validating data, improving data quality, applying model governance, conducting quantitative analysis, and evaluating emerging technologies such as artificial intelligence and machine learning.

Support development and launch of UK pooled funds, manage product changes (mergers, closures, repositioning), maintain governance documentation, respond to data queries, engage stakeholders, and assist the Director of UK Product Change & Development.

Provide legal advice and support to the Institutional business across EMEA, drafting and negotiating investment management and intra-group agreements, managing external counsel, advising on regulatory and fund-structure matters (including LDI and pooled products), and responding to ad-hoc business queries.

Lead research, design, development and launch of Luxembourg/Ireland fund products across the full product lifecycle. Manage stakeholder working groups, prepare business cases, secure seed investments, maintain product documentation, conduct competitor and post-launch reviews, and ensure regulatory and market developments inform product design. Support product management and promote the Product Team internally and externally.

Perform fundamental bottom-up research on European small-cap equities, build financial models, conduct valuation and due diligence, lead company meetings, produce stock and sector materials, and travel across Europe to support investment recommendations.

Manage and execute recurring compensation operations, validations, reconciliations, reporting, and controls. Support audits, year-end readiness, UAT/testing, documentation, training, and continuous improvement while independently handling assigned capability areas and stakeholder coordination.

This role involves leading data analysis, managing datasets, developing predictive modeling solutions, and providing analytic thought leadership for business problems.

Lead identification, design, and implementation of automation and reporting across Controllership. Build Python solutions for data collection, reconciliation and controls; develop Power BI/Tableau dashboards; support Microsoft Fabric and evaluate AI/Copilot use cases. Partner with stakeholders, drive continuous improvement, document solutions, and provide training to increase automation and operational transparency.