Through the Knowledge Transfer Partnership (KTP) Programme, Sapphire Capital Partners LLP, in partnership with Queen's University Belfast, have an exciting employment opportunity for a dynamic and motivated Computer Science/Software Engineering/Digital Product Development graduate to work on a project to design, build and develop an innovative cloud based digital platform. The aim of this platform will ultimately be: Development of advanced data pipelines to analyse structured and unstructured financial data, for example scraping of open and private data sources such as websites and other financial reports. Integration of reporting analytics and visualisation dashboards to enhance investor insights using up-to-date information gathered and synthesised from (1). Implementation of an AI-driven investment platform for future investment fund launches, using predictive approaches and analytics. Once established the platform will be further expanded to include a wider range of data sources, offer the opportunity for commercialisation through white-box provision to other financial service companies. This role is company-based and will be delivered in collaboration with the School of Electronics, Electrical Engineering and Computer Science at Queen's. The successful candidate will become part of a team within Sapphire Capital Partners. Sapphire specialises in the launch, management and support of sector-focused venture capital funds. Sapphire helps visionaries launch new venture capital funds and provides them with the infrastructure and support needed. About the person: The successful candidate must have, and your application should clearly demonstrate that you meet the following criteria: Hold at least a 2.1 Honours Degree (or equivalent) in Computer Science, Software Engineering, Digital Product Development, or a closely related discipline. Where candidates hold an international degree, please ensure the equivalence of this to a UK classification (i.e. 1st class, 2.1, 2.2 etc) is clear in your application. Relevant demonstrable knowledge and experience of each of the following: software deployment (including cloud computing), business intelligence/analytics, data visualisation and reporting, agile methodology, lean startup and DevOps methodologies.* Demonstrable relevant technical skills including the use of AI and the deployment or development of Large Language Models (LLM).* Demonstrable relevant technical skills in the creation and deployment of complex software systems including APIs.* *May be demonstrated through the completion of a module, student project or placement or work experience. Applicants must adequately evidence how they have gained relevant experience/knowledge/skills in detail, using examples and dates where appropriate to demonstrate that they meet these requirements. It is not sufficient to simply list duties/skills/modules/assignment titles as evidence. Please note the above are not an exhaustive list. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website A KTP role is the perfect launchpad for your career providing the opportunity to apply your academic knowledge and skills to deliver a strategic innovation project within a company. One of the unique benefits to KTP is access to a substantial development budget and the support and guidance of Queen's world-class academics and researchers. This role offers an excellent opportunity to work closely between academia and industry whilst developing your skills to run and manage projects. Information about the KTP Programme can be found on our website.