Senior Business Analyst

Oxfida on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society.
We sit at the intersection of academia and industry, working with Oxford's professors, researchers, and graduates alongside commercial spinouts and partner companies, to turn frontier research into AI that actually ships rather than just gets published.
Our work spans applied AI for insurance and adjacent industries, including supply chains, nature, autonomous driving, and the emerging challenges nobody's solved yet, alongside deep research of our own into agentic AI, privacy-preserving technologies, trustworthy AI, complex systems modelling, and quantum computing.
We build AI products and solutions for insurers, businesses, and public-sector organisations worldwide, and run innovative research projects that push these technologies further, helping people make better decisions in an uncertain world.
The Senior Business Analyst will support the successful delivery of Track 5 - Commercialisation & Value within the CODAS R&D Programme: a large-scale, multi-partner, international AI research programme backed by the Japanese government and major industry partners.
The role will work closely with AI Commercialisation Strategists, researchers, engineers, industry stakeholders and programme partners to understand business challenges, assess market and customer opportunities, define and validate potential AI use cases, and translate business needs into clear requirements that can inform research, product development and commercialisation activity.
The role will provide senior, structured business analysis to take opportunities from emerging research capabilities and early-stage ideas through to clearly defined and validated business use cases. This includes leading discovery, requirements definition, process analysis, market and opportunity assessment, benefits analysis and the evidence base required to support robust business cases and commercial pathways.
If you’d like to be part of our brighter future, and share in our success, we’d love to hear from you.
Responsibilities
Opportunity, Market & Use Case Analysis
Lead the structured identification, evaluation and prioritisation of potential AI use cases arising from programme research outputs.
Work with industry stakeholders, prospective customers and subject matter experts to understand market needs, business problems, operational challenges and unmet needs.
Undertake targeted market and competitor analysis to understand the size, relevance and differentiation of priority opportunities and inform where the programme should focus.
Analyse and define potential use cases, documenting the business problem, target users or customers, desired outcomes, dependencies, constraints and measures of success.
Support the validation and prioritisation of use cases with insurers, industry partners and other potential customers, using evidence to recommend whether opportunities should proceed, be refined or stop.
Business Analysis & Requirements Definition
Lead detailed business analysis and requirements gathering for priority commercial opportunities and use cases.
Elicit, analyse and document business, functional and non-functional requirements through stakeholder interviews, workshops and other discovery activities.
Translate business needs into clear, structured requirements that can be understood and acted upon by research, engineering and product teams.
Identify assumptions, dependencies, constraints, risks and data requirements associated with proposed use cases and solutions.
Define appropriate success measures and acceptance criteria to support the validation of technical outputs, proofs of concept, pilots and potential solutions.
Commercial Value & Business Case Development
Work closely with AI Commercialisation Strategists to assess and validate the potential business and commercial value of priority opportunities.
Gather and analyse quantitative and qualitative evidence to establish current-state baselines, customer need and expected benefits.
Assess and quantify potential benefits including cost reduction, operational efficiency, customer experience, risk reduction, revenue generation and other measurable business outcomes.
Develop the analysis and evidence required to build outline and detailed business cases, including key assumptions, costs, benefits, risks and scenarios.
Sense-check market and stakeholder claims, challenge unsupported assumptions and ensure commercial…