Assistant/Associate Professor in Fintech Management

We are working in partnership with an ambitious higher education provider to appoint an Assistant Professor in Economics on a Teaching and Scholarship pathway. The successful candidate will teach students from a range of academic, cultural and international backgrounds, creating an inclusive and intellectually rigorous learning environment. The role will suit an academic who enjoys bringing economic theory to life through contemporary examples, applied analysis and accessible teaching. You will contribute primarily to Microeconomics, Macroeconomics and Econometrics, while supporting wider curriculum development. The Role You will design and deliver high-quality teaching through lectures, seminars, workshops, tutorials and online learning. You will develop learning materials and assessments, provide timely feedback and support students throughout their academic journey. You must be able to adapt your teaching to different levels of prior knowledge and educational experience. Applications are particularly welcomed from candidates whose teaching or scholarship connects Economics with sustainability, finance, technology, health economics, ethics, data analysis, international economics or public policy. Key responsibilities Deliver engaging and inclusive teaching in Microeconomics, Macroeconomics and Econometrics. Design lectures, seminars, workshops, assessments and learning materials. Use contemporary examples, data and case studies to strengthen student understanding. Provide clear, constructive and timely feedback. Support students' academic development and act as a personal tutor where required. Contribute to curriculum design, module review and programme enhancement. Participate in moderation, assessment boards and academic quality processes. Use digital technologies effectively in learning, teaching and assessment. Work collaboratively with academic and professional services colleagues. Contribute to student recruitment and outreach where appropriate. Maintain current subject knowledge through scholarship, research or professional development. Promote an inclusive academic culture. Person specification Applicants should hold a completed PhD, or be close to completion, in Economics or a closely related discipline. You should demonstrate teaching competence in Microeconomics and Macroeconomics at undergraduate level, alongside the ability to contribute to Econometrics or quantitative methods. You will be an adaptable and student-focused educator with the ability to explain complex concepts clearly. You should be comfortable teaching both face-to-face and online and able to use technology effectively to support engagement and learning. Essential criteria A completed PhD, or a PhD nearing completion, in Economics or a related field. Strong subject knowledge in Microeconomics and Macroeconomics. The ability to contribute to Econometrics or quantitative methods. Experience of teaching, tutoring, training or presenting complex subject matter. The ability to develop engaging and inclusive learning activities. A commitment to supporting students from varied backgrounds. Excellent written, verbal and interpersonal communication skills. Strong organisational and time-management skills. Confidence using digital technologies to support learning. The ability to work independently and collaboratively. Experience of UK higher education, international students, module design, assessment development or academic quality assurance would be advantageous. A recognised teaching qualification or Fellowship of Advance HE would also be welcomed. Evidence of scholarship, research or publication would be beneficial, particularly where this relates to sustainability, finance, technology, health economics, ethics or public policy. Why consider this opportunity? This role offers the chance to join a forward-looking higher education environment, teach a diverse and internationally minded student population and contribute to modern Economics provision. You will have scope to shape learning and assessment, connect Economics with current social and technological challenges and develop your career within a supportive academic setting. Applications are welcomed from candidates from all backgrounds. Flexible arrangements may be considered where these align with programme delivery. To apply, please submit an up-to-date CV outlining your qualifications, teaching experience, areas of Economics expertise and relevant scholarship or research activity.

We are partnering with an ambitious and internationally connected higher education provider to appoint an Assistant or Associate Professor in Computer Science This is an excellent opportunity to join a growing academic faculty and contribute to undergraduate and postgraduate programmes. The successful candidate will deliver high-quality teaching, support curriculum development and help students develop the technical and professional skills required for careers across the technology sector. The institution is particularly interested in candidates with expertise in Software Engineering, Machine Learning and Python Programming. Applications are also welcomed from candidates in other areas of Computer Science who can contribute to core teaching and interdisciplinary activity. The role You will deliver engaging and inclusive teaching through lectures, seminars, workshops, practical sessions and online learning. You will design learning materials and assessments, explain complex technical concepts clearly and support students with different levels of prior knowledge. Teaching should reflect current developments within computing and make effective use of digital technologies. The post is primarily focused on teaching and scholarship, although candidates with interests in next-generation software, artificial intelligence, human-centred AI, data, sustainability or ethics are encouraged to apply. Key responsibilities Deliver Computer Science teaching at undergraduate and postgraduate level. Contribute to Software Engineering, Machine Learning, Python Programming and related modules. Design lectures, workshops, practical activities and assessments. Provide constructive and timely feedback. Support student progress and act as a personal tutor where required. Supervise projects, dissertations and applied technical work. Contribute to programme development and curriculum enhancement. Participate in moderation, assessment boards and academic quality processes. Use suitable technologies within learning, teaching and assessment. Collaborate with colleagues across computing and related disciplines. Contribute to scholarship, professional practice or research. Maintain current subject and industry knowledge. Promote an inclusive learning environment. Person specification For Assistant Professor level, applicants should normally hold, or be close to completing, a relevant PhD, or demonstrate equivalent professional experience. Candidates should have strong technical knowledge and the ability to teach at undergraduate and postgraduate level. They should be confident delivering teaching both in person and online. For Associate Professor level, candidates should also demonstrate an established record of teaching excellence, curriculum development, academic leadership, scholarship, research or professional contribution. Experience of mentoring colleagues, leading modules or programmes, or supporting academic quality enhancement would be valuable. Essential criteria A relevant PhD completed or nearing completion, or equivalent professional expertise. Strong knowledge of Computer Science or a related discipline. Teaching competence at undergraduate and postgraduate level. Expertise in Software Engineering, Machine Learning, Python Programming or another relevant area. The ability to design innovative and inclusive learning activities. Excellent written, verbal and presentation skills. Confidence teaching face-to-face and online. Strong IT, organisational and time-management skills. The ability to work independently and collaboratively. A clear commitment to professional development and student success. Desirable experience Experience of UK higher education, Fellowship of Advance HE, project supervision, programme validation, academic quality assurance, teaching international students or relevant industry practice would be advantageous. Scholarship, research or interdisciplinary teaching experience would also be welcomed. Why consider this opportunity? This role offers the chance to join a forward-looking academic environment, contribute to modern Computer Science provision and work with a diverse student community. You will have scope to shape learning and assessment and collaborate across data science, engineering, business and ethics. Applications are welcomed from candidates from all backgrounds. Flexible arrangements may be considered where these align with programme delivery. To apply, please submit an up-to-date CV outlining your qualifications, teaching experience, technical expertise, scholarship, research and relevant leadership. Please indicate whether you wish to be considered at Assistant Professor, Associate Professor or either level.