AI Equity Investment Specialist

Location: London

Build AI tools that directly influence investment research and decision-making.

Octavius Finance is proud to be working with a leading global investment management firm looking for a hands-on AI Engineer to join its investment team in London.

This is an opportunity for someone with strong software engineering, AI and machine learning skills who is genuinely interested in financial markets and wants to apply their technical expertise to real investment problems.

You will work directly alongside Portfolio Managers and Investment Analysts, understanding how they research companies, analyse data, generate investment ideas and make decisions. You will then design, build and deploy AI-powered tools that make those processes smarter, faster and more effective.

We are particularly interested in engineers who enjoy building things from scratch, experimenting with new technologies and taking ownership of solutions from initial concept through to production.

What you'll be doing:

1. Building AI-powered investment tools: Design, develop and deploy applications that support fundamental research, company analysis, investment screening, portfolio monitoring and decision-making.
2. Working directly with investors: Partner with Portfolio Managers and Analysts to understand their workflows, identify opportunities for automation and translate investment challenges into practical technical solutions.
3. Developing LLM and agentic AI applications: Build intelligent tools and agents that interact with investment data, research documents, internal knowledge and external information sources.
4. Applying AI/ML to financial data: Use Python, machine learning, data engineering and statistical techniques where appropriate to extract insights, automate analysis and improve research efficiency.
5. Owning end-to-end development: Take projects from idea generation and prototyping through to testing, deployment, integration and ongoing improvement.
6. Driving real adoption: Work closely with investment professionals to ensure the tools you build are genuinely useful and become part of their day-to-day investment process.

What we're looking for

We are looking for technically strong, commercially curious engineers who enjoy solving complex problems and seeing their work have a tangible impact.

Ideally, you will bring:

1. Strong Python and software engineering skills , with experience building applications, automating workflows, integrating APIs and working with complex datasets.
2. Hands-on AI/ML experience , particularly developing practical solutions using machine learning, large language models, generative AI or agentic AI frameworks.
3. Experience building and deploying real applications , rather than purely theoretical models or proof-of-concept projects.
4. Strong data skills , including experience working with SQL, data pipelines, financial datasets or other large-scale data sources.
5. An understanding of modern AI development , including LLM integration, retrieval-augmented generation (RAG), tool calling, model evaluation and agent workflows.
6. A proactive, problem-solving mindset , with the ability to identify opportunities, develop solutions independently and communicate effectively with non-technical stakeholders.
7. A genuine interest in investing and financial markets , particularly how companies are researched, valued and assessed by investment professionals.

Experience within asset management, investment banking, hedge funds, quantitative research or financial technology is essential - you won't be considered if this experience is not clear.

Why consider this opportunity?

This is not a traditional technology role where you build solutions at arm's length from the business.

You will be embedded directly within the investment team, working alongside the people making investment decisions and seeing first-hand how your technology influences their day-to-day work.

You will have the opportunity to:

1. Build and own AI applications used directly by investment professionals.
2. Gain exposure to fundamental equity research, company analysis and portfolio management.
3. Experiment with cutting-edge AI technologies and turn ideas into production-ready solutions.
4. Work with considerable autonomy while benefiting from an established AI engineering team and platform.
5. Develop a combination of deep technical expertise and practical investment knowledge.

If you're an AI/ML engineer who loves building technology, has a genuine curiosity about financial markets and wants to see your work make a real difference to the investment process, we'd love to hear from you.

To apply, please send a copy of your Word CV to

mailto:Quant@octaviusfinance.com