Technical Business Analyst
Orbis Group
Technical Business Analyst – AI Implementation - London - Hybrid
We’re partnering with a growing B2B SaaS fintech that provides sophisticated cloud-based technology to global financial institutions.
They’re looking for a Technical Business Analyst to join the team, with a particular focus on building and implementing practical AI solutions across their products and business processes .
This isn’t a traditional BA position where you simply gather requirements and hand them over to engineering. They’re looking for someone genuinely technical and hands-on who can identify a business problem, explore how AI could solve it, prototype a solution and work closely with developers to take it through to production.
What you’ll be doing:
- Identifying opportunities where AI, LLMs and agent-based solutions can solve real business and client problems
- Designing and implementing AI solutions and agentic workflows from initial idea through to production
- Building prototypes and helping shape workflows, interfaces and system integrations
- Working directly with engineering, testing and product teams throughout the development lifecycle
- Translating complex business requirements into practical technical solutions
- Working with APIs, data and existing platforms to integrate new capabilities
- Engaging with clients and internal stakeholders to understand pain points and validate solutions
- Supporting product demonstrations, proof-of-concepts and ongoing product improvements
What we’re looking for:
- Strong experience as a Technical Business Analyst or similar hands-on technology/product professional
- Recent, practical experience building or implementing AI/LLM solutions – not simply AI strategy or theoretical exposure
- Experience working within a B2B SaaS or technology-led product environment
- Strong understanding of the full SDLC and experience working closely with software engineers
- Comfortable taking ownership of a problem and working from idea → prototype → implementation → iteration
- Exposure to Python, SQL, APIs or system integrations would be highly beneficial
- Strong stakeholder management and communication skills
- Financial Services, Investment Management or Fintech experience would be advantageous
The key thing here is hands-on delivery . They want someone who can talk through something they’ve genuinely built using AI – the problem, why AI was the right solution, what they personally did and how it ultimately delivered value.
It’s a great opportunity for someone who wants to sit at the intersection of AI, product, engineering and business analysis , with the freedom to experiment and turn emerging technology into solutions that are actually used.
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