AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM)
Business Analyst
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Overview
Aioi R&D Lab – Oxford is an AI R&D company based in Oxford, 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 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 the AI Commercialisation Strategists, researchers, engineers, industry stakeholders and programme partners to understand business challenges, identify and define potential AI use cases, and translate business needs into clear requirements that can inform research, product development and commercialisation activity.
Responsibilities
The role will provide the structured business analysis required to take opportunities from early-stage ideas through to clearly defined and validated use cases, supporting stakeholder discovery, requirements definition, process analysis, benefits assessment and business case development. The purpose of the role is to ensure:
- Business problems, stakeholder needs and opportunities are clearly understood, analysed and documented.
- Potential AI use cases are defined and validated with industry stakeholders, with clear business requirements, outcomes and measures of success.
- Business, functional and non-functional requirements are translated into structured inputs that can be understood and acted upon by research and engineering teams.
- Current and future-state business processes are analysed to identify where AI capabilities could deliver measurable value.
- Benefits, assumptions, dependencies, constraints and risks are identified and evidenced to support use-case prioritisation and business case development.
- Commercialisation Strategists are supported with the analysis and evidence required to develop robust commercial propositions, business cases and recommendations.
- Strong alignment is maintained between business needs, technical capabilities and research activity, helping ensure programme outputs address genuine industry challenges and have a clear route towards practical application.
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Knowledge, Experience and Qualifications
Business Analysis
- Strong experience working as a Business Analyst within complex technology, digital, product or innovation environments.
- Demonstrable experience eliciting, analysing and documenting business, functional and non-functional requirements.
- Experience undertaking business process analysis, including current-state and future-state process mapping.
- Ability to take complex or ambiguous business problems and structure them into clearly defined needs, requirements and potential use cases.
- Experience identifying and documenting business outcomes, success measures, assumptions, dependencies, constraints and risks.
- Experience supporting use-case assessment, benefits analysis and business case development.
- Strong analytical and problem-solving skills, with the ability to gather, assess and synthesise information from multiple sources.
Technical
- Comfortable working with technical teams, including engineers, data specialists and other technical subject matter experts.
- Ability to understand emerging technologies sufficiently to assess their potential application to business problems.
- Able to translate business needs into clear requirements for technical teams and communicate technical capabilities and constraints to non-technical stakeholders.
- An awareness of AI and machine learning concepts and an interest in developing knowledge of emerging AI technologies. (The role does not require hands-on model development, data science or software engineering experience.)
Why Join Us?
We're all about helping you grow, with plenty of support to develop in your current role whilst also creating opportunities to explore new ones and advance your career. We realise that we need to be a good fit for you above all else – so here’s what you can enjoy about AND-E:
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- Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards.
- Unmatched Work-Life Balance.
- Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise.
- We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported — including embracing neurodiversity and providing the tools needed to thrive.
- We like to think our benefits package is one of the best, focusing on colleagues’ health, wealth, and lifestyle. We offer:
- Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday*
- Healix Private Medical Insurance Options*
- 3 x Annual Salary Life Assurance*
- A range of health, wellbeing, and financial support benefits, including money back on health expenses, Employee Assistance Programme, Flu Jab voucher, Virtual GP service, and driving lessons* for you and your family.
- Additional perks such as a pension advisory service, family-friendly policies, season ticket loan*, cycle scheme*, and financial flexibility through Wagestream*.
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- Subject to company performance and completion of probation
Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics)
At AND-E, equal opportunity is more than a policy—it’s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic.
Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We’re committed to making the process accessible and are happy to help.
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