LONDON, LONDON, United Kingdom and 1 more

• Job Identification
• Job Category Predictive Science
• Business Unit Asset & Wealth Management
• Posting Date 04/22/2026, 02:21 PM
• Locations 60 Victoria Embankment, London, Greater London, EC4Y 0JP, GB 315 Argyle Street, Glasgow, Glasgow City, G2 8AT, GB
• Apply Before 05/13/2026, 04:00 AM
• Job Schedule Full time
• Job Shift Day

Job Description

The candidate must excel in working in a highly collaborative environment together with the business stakeholders, technologists, and control partners to deploy solutions into production. A strong passion for machine learning is essential, along with a commitment to continuous learning, research, and experimentation with new innovations in the field. Candidates should possess solid understanding of modern NLP and/or financial knowledge, hands-on implementation experience, strong analytical thinking, and a keen interest in applying advanced analytics to solve complex problems in finance and asset management.

Responsibilities

• Design and implement agentic AI workflows that automate and streamline complex business processes.
• Design and apply advanced techniques such as semantic search, retrieval-augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation.
• Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation.
• Work closely with partner teams-including Business, Technology, Product Management, Strategy, and Business Management-to deploy and scale developed models in production environments.
• Build comprehensive testing setups to evaluate model performance and ensure efficacy and reliability.
• Communicate results effectively to business stakeholders through written reports, visualizations, and presentations.
• Stay current with the latest research in LLM, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement.

Qualifications and Skills

• Proven experience applying NLP, LLM, and ML techniques to solve high-impact business problems.
• Demonstrated intellectual curiosity and a passion for staying current with the latest advancements in AI, LLMs, agentic AI frameworks, and data science.
• Proficiency in programming languages such as Python and familiarity with machine learning libraries and frameworks.
• Excellent communication skills and ability to work collaboratively in a fast-paced, dynamic environment.
• Prior experience in financial services or asset management is desirable, along with a strong interest in applying AI to the financial domain.

Equal Opportunity Employer

We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.