Assistant Professor - Finance/ Fintech

Job Description Assistant Professor – Finance / FinTech | University of Bristol (Mumbai Campus) ABOUT THE UNIVERSITY OF BRISTOL The University of Bristol's Mumbai campus is an innovative extension of its prestigious UK counterpart, established to promote academic excellence, global collaboration, and impactful industry engagement in one of the world's most dynamic financial hubs. The campus offers a truly international and cross-cultural academic environment, combining the University's rigorous academic traditions with the fast-evolving Indian and South Asian business landscape. As part of a growing global network, the Mumbai campus serves as a hub for interdisciplinary learning, applied research, and thought leadership. Faculty members enjoy access to global partnerships, collaborative research opportunities, and the ability to contribute to high-impact academic programmes that prepare students to meet the challenges of an interconnected world. MAIN JOB PURPOSE The candidate will contribute to the delivery of high-quality teaching, assessment, research, and dissertation supervision across Finance and FinTech at the undergraduate and postgraduate levels, with particular contribution to the MSc Finance & Investment or MSc FinTech programmes. MAIN RESPONSIBILITIES Teaching Responsibilities Teaching at Undergraduate and Postgraduate levels, including assisting with lectures, tutoring, seminars, and computer lab sessions. Acting as a personal tutor to undergraduate and postgraduate students. Supervising UG or MSc dissertations in the relevant area. Marking exams and coursework papers for graduate and undergraduate students; with curriculum development/enhancement in line with the school ambition/strategy. Actively contributing to the function of the school by attending meetings and seminars and undertaking administrative duties assigned by the Head of School. Proactive approach to professional development and scholarship. Financial Modelling: Expertise in financial modelling, corporate finance, investments, risk management, Excel/VBA, and preferably Python. Research Methods & Dissertation Teaching: Strong quantitative research skills, experience with statistical software and financial databases, and the ability to teach and supervise postgraduate dissertations. Large-Scale Data Engineering for FinTech: Expertise in cloud computing, big data technologies (e.g., Hadoop ecosystem), data engineering, and data management. Introduction to AI & Data Analysis: Knowledge of AI/ML, data analytics, visualization, text analytics, and relevant programming/software tools. Administration Responsibilities If needed, fulfilling the role of unit/course director or aiding unit/course director in the administration, development, and teaching of the relevant unit. Responsibilities are likely to include administering graduate and undergraduate degree programmes in finance or similar, including new programme development, promotion and admissions; organising and monitoring delivery of units; overseeing the welfare of students; liaising with external examiners; and/or reviewing and revising programmes in accordance with school and faculty policy. Making a wider contribution to the success of the University from their participation in faculty and University wide governance and development activities. Other leadership and administrative duties as assigned by the Head of Group. RELATIONSHIPS Reporting Manager: Dean RELEVANT SUBJECT EXPERTISE Expertise in Finance, FinTech, Data Science, or closely related disciplines. Strong quantitative research, analytical, and financial modelling capabilities. Experience with relevant statistical software, financial databases, programming, and data analysis tools. Knowledge of AI/ML, data engineering, cloud computing, big data technologies, data visualisation, and text analytics. P ERSON SPECIFICATION Relevant Experience, Skills and Knowledge Internal Contacts School and faculty staff School undergraduate and / or post-graduate students Staff and students in the wider university External Contacts Research collaborators Dissertation supervisors External Partner Organisations Essential Evidence of experience and ability to teach effectively at undergraduate and master's levels in a relevant discipline, including in small-group and/or lecture settings. Evidence of a proactive approach to teaching and student engagement. Evidence of taking initiative to improve students' learning. Evidence of excellent organisational and administrative skills. Evidence of responsibility for planning your own professional development. Evidence of ability to contribute effectively to the administration and management of the department, school and faculty. Experience of effectively supervising undergraduate and masters' projects and dissertations. Relevant Qualifications Essential A Doctorate (e.g. PhD or expected to be completed by the start of appointment) in an appropriate discipline, which fits with teaching specialism/s. Desirable HE teaching qualification. Links with accreditation bodies. Digital/Blended learning experience. Communication and Interpersonal Skills Essential Excellent interpersonal skills for collaborative working. The ability to communicate effectively both orally and in writing to different audiences. Flexibility and ability to adapt to changing circumstances.