Asset Management, Data Scientist, Vice President, LondonGlasgow

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 shouldpossessa 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.

Job 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 personalizationfor 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 teamsincluding Business Technology Product Management Strategy and Business Managementto 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 proactivelyidentifyandleverageemerging techniques to drive ongoing enhancement.

Qualifications Capabilities 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.
• Proficiencyin 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.