Senior AI Engineer Investment Research

• Requisition identifier: 202604255

• Location: London, England, United Kingdom

• Employment type: Full time

Description

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.

Why Join Us?

• Genuine ownership of the equity team’s AI and data capability — building investment-specific solutions that sit at the intersection of the firm’s broader AI programme and the team’s unique research needs

• Real investment problems: manager research, portfolio construction, multi-manager oversight

• Direct impact visibility: your tools will be used by the team in daily investment decisions

• Gain exposure to senior investment and AI leaders while coordinating with WTW’s wider AI programme.

• Help create a differentiated data and insight capability that becomes more valuable as the team’s knowledge base grows

The Role

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.

Working at the intersection of investments, data, and technology, you will build practical, scalable AI capabilities while leveraging WTW's broader enterprise data and AI ecosystem. As a senior technical specialist within the Listed Equity team, you will:

• 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.

Qualifications

What You'll Bring

Essential

• 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.

• Hands-on experience with Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG), prompt engineering, information extraction, evaluation frameworks, and agentic workflows.

• 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.

Preferred

• Experience within investment management, asset management, OCIO, or wider financial services environments.

• Familiarity with investment research, portfolio construction, performance analysis, or investment workflows.

• Experience with Microsoft Azure, Microsoft Fabric, Microsoft 365 Copilot, or other enterprise AI platforms.

• Knowledge of financial and market data platforms.

The Application Process

• Apply via WTW careers with your CV and a brief note on a relevant AI or data project you’ve built

• First-stage online interview with hiring manager and Equity team

• Technical interview with the Equity team and a member of WTW’s central AI and data team

• Offer and onboarding

What we offer

Enjoy a benefits package designed to help you thrive, both professionally and personally. 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. Start making the most of your career and wellbeing with a range of benefits tailored for you.

Equal Opportunity Employer

We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidatehelpdesk@wtwco.com