AI engineer in investment research

At WTW, our Listed Equity team manages over $50bn in equity investment strategies for institutional clients worldwide. As we continue to evolve our investment research capabilities, we are investing in modern data and AI solutions that enhance insight generation, portfolio oversight, and decision-making. We are seeking an experienced Senior AI Engineer to become the first dedicated AI specialist embedded within our Listed Equity business. This is a unique opportunity to work directly with investment professionals, shaping and delivering innovative AI-driven solutions that create measurable impact across research, analysis, and portfolio management.

• Partner with portfolio managers, analysts, and researchers to identify opportunities where AI and data can enhance investment processes and outcomes.
• Assess and map a wide range of equity data sources, including portfolio data, research content, manager communications, and third-party datasets.
• Design and develop the equity-specific data layer, ensuring information is structured, traceable, and aligned with enterprise data standards.
• Build and maintain robust data pipelines and integrations that automate data collection and reduce manual effort.
• Develop, test, and deploy AI-powered solutions and agent-based workflows to support investment research, monitoring, portfolio analysis, and knowledge retrieval.
• Collaborate with WTW's technology, data, and AI teams to align with enterprise architecture, governance, security, and responsible AI standards.
• Document technical solutions and contribute to building AI capability and best practices across the investment team.

• Experience within investment management, asset management, OCIO, or wider financial services environments.
• Familiarity with investment research, portfolio construction, performance analysis, or investment workflows.
• Hands-on experience with Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG), prompt engineering, information extraction, evaluation frameworks, and agentic workflows.
• Significant experience in AI engineering, data engineering, software engineering, or a related technical discipline.
• Demonstrated success delivering production-grade solutions that drive measurable business value.
• Strong Python and SQL skills, with experience developing scalable data pipelines, APIs, and modern data architectures.
• Strong understanding of data governance, security, privacy, and responsible AI principles.
• Experience designing and deploying scalable cloud-based or enterprise applications.
• Ability to translate complex business problems into practical technical solutions.
• Strong communication skills with the ability to engage effectively with both technical and non-technical stakeholders.
• Degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline, or equivalent practical experience.
• Experience with Microsoft Azure, Microsoft Fabric, Microsoft 365 Copilot, or other enterprise AI platforms.
• Knowledge of financial and market data platforms.

• This is a hybrid role requring working 3 days per week from the office.
• You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge.
• Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind.
• Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company.
• We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community.
• On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more.