Group Investment Product Solutions is seeking a highly talented and forward-thinking AI Investment Products Specialist. This is a senior, cross‑functional role that sits at the intersection of artificial intelligence, investment management, and financial product innovation.
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You will act as the central AI enablement engine for our investment strategists, marketing, sales, and data analytics teams — dramatically accelerating time‑to‑market for new products while enhancing the quality and personalisation of investment solutions offered to our clients across Europe
Key Responsibilities
AI Agent Development & Deployment
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- Design, build and maintain AI agents tailored to asset management workflows — including autonomous research, product drafting, and reporting agents
- Embed agentic AI tools within the day‑to‑day operations of investment strategists, marketing, and sales teams
- Ensure seamless integration of AI agents with existing data infrastructure and investment systems
- Leverage generative AI to accelerate the design and structuring of new investment products — funds, certificates, structured bonds, alternatives
- Reduce time‑to‑market through AI‑assisted product documentation, regulatory filing support, and scenario modelling
- Collaborate with portfolio managers and product teams to prototype AI‑enhanced investment strategies
Bespoke & Individualised Investment Solutions
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- Apply AI/ML techniques to design highly personalised investment solutions for institutional and retail clients
- Build client profiling and portfolio optimisation tools that deliver recommendations at scale
- Support the development of advisory models powered by AI for discretionary and mandate‑based solutions
Productivity & Workflow Transformation
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- Identify and prioritise AI use cases across investment strategy, marketing content, sales enablement, and data analysis
- Develop and deliver training programmes to embed AI literacy and tool adoption across teams
- Define and track KPIs to measure productivity improvements achieved through AI deployment
- Deploy AI‑powered models for market surveillance, performance attribution, and competitor benchmarking
- Build automated reporting dashboards and NLP pipelines for investment research and client communication
- Support the data analysis team with predictive analytics and quantitative modelling capabilities
Requirements
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- 2+ years of industry or research experience in data science or AI, with a focus on methodological efforts and enterprise AI system adoption.
- At least 2 years of experience working with Generative AI (GenAI) technologies.
- Hands on experience with Agentic System design and development, including agentic system testing.
- In‑depth knowledge of genAI and deep‑learning libraries (e.g. LangChain, LlamaIndex, Haystack, PyTorch).
- Basic understanding and experience with common market agentic frameworks (ADK, Crew AI).
- Understanding and hands‑on experience with A2A and MCP.
- Strong analytical and problem‑solving skills.
- Excellent communication skills, especially with non‑technical stakeholders.
- Excellent collaboration skills, with the ability to work effectively in an agile environment.
- For more senior roles, experience in leading the delivery of technical teams bridging gaps between methodological and engineering effort guaranteeing smooth transition between prototyping and production‑grade system.
Nice to have
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- Familiarity with cloud‑native AI solutions for model development and AI services (Azure, Google Cloud).
- Proficiency in MLOps frameworks and best practices.
- Knowledge in object‑oriented software development, particularly in Python.
- Experience with production grade Agentic systems, including performance monitoring and evaluation frameworks.
- Experience with open‑source LM finetuning for Agentic AI applications. xlwpduy
- Experience in consultancy, customer engineering and fast prototyping.
What We Offer
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- A pivotal role in the AI transformation of one of Europe's leading banks
- Direct exposure to senior leadership and cross‑functional teams across countries
- Continuous learning opportunities and access to cutting‑edge AI tooling and research
- A collaborative, intellectually stimulating environment at the forefront of financial innovation
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