Senior AI Engineer Investment Research
Willis Towers Watson24 hours ago
London, United KingdomSenior
Responsibilities
- Partner with portfolio managers, analysts, and researchers to identify opportunities for AI and data to improve investment processes.
- Assess and map portfolio data, research content, manager communications, and third-party equity datasets.
- Design and develop a traceable, standards-aligned equity data layer.
- Build and maintain data pipelines and integrations that automate data collection.
- Develop, test, and deploy AI-powered solutions and agent-based workflows for investment research, monitoring, portfolio analysis, and knowledge retrieval.
- Collaborate with technology, data, and AI teams on architecture, governance, security, and responsible AI standards.
- Document technical solutions and contribute to AI capabilities and best practices across the investment team.
Requirements
- Significant experience in AI engineering, data engineering, software engineering, or a related technical discipline.
- Demonstrated success delivering production-grade solutions with measurable business value.
- Strong Python and SQL skills, including scalable data pipelines, APIs, and modern data architectures.
- Hands-on experience with LLMs, 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 and communicate with technical and non-technical stakeholders.
- Degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline, or equivalent practical experience.
- Preferred experience in investment management, asset management, OCIO, or financial services.
- Preferred familiarity with investment research, portfolio construction, performance analysis, investment workflows, financial and market data platforms, Microsoft Azure, Microsoft Fabric, or Microsoft 365 Copilot.
Benefits
- 25 days of annual leave plus an additional WTW day.
- Private healthcare, life insurance, group income protection, and regular health assessments.
- Defined contribution pension scheme with company-matched contributions up to 10%.
- Hybrid working options, an employee assistance programme, and a fully paid volunteer day.
- Optional electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, and critical illness protection.
Categories
AI ApplicationsData Engineering
About Willis Towers Watson
WTW is a global advisory, broking, and software firm serving employers, insurers, and institutional clients across people, risk, and capital. It provides insurance brokerage and risk advisory, employee benefits and pensions consulting, and HR/benefits administration software and analytics. Headquartered in London and listed on NASDAQ (WTW), the company was formed in 2016 via the Willis Group–Towers Watson merger and operates in roughly 140 markets worldwide.