Posted 27 August, 2026
Assistant Professor - Finance/ Fintech
University of Bristol Mumbai
Mumbai, MH, IN
Full Time
Reference: 23953f2cac62dc0a
Job Description
Job Description
\nAssistant Professor – Finance / FinTech | University of Bristol (Mumbai Campus)
\nABOUT THE UNIVERSITY OF BRISTOL
\n- \n
- The University of Bristol's Mumbai campus is an innovative extension of its prestigious UK counterpart, \n
- established to promote academic excellence, global collaboration, and impactful industry engagement in one \n
- of the world's most dynamic financial hubs. The campus offers a truly international and cross-cultural \n
- academic environment, combining the University's rigorous academic traditions with the fast-evolving \n
- Indian and South Asian business landscape. \n
- As part of a growing global network, the Mumbai campus serves as a hub for interdisciplinary learning, \n
- applied research, and thought leadership. Faculty members enjoy access to global partnerships, \n
- collaborative research opportunities, and the ability to contribute to high-impact academic programmes that \n
- prepare students to meet the challenges of an interconnected world. \n
MAIN JOB PURPOSE
\nThe 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.
\nMAIN RESPONSIBILITIES
\nTeaching Responsibilities
\n- \n
- Teaching at Undergraduate and Postgraduate levels, including assisting with lectures, tutoring, seminars, and computer lab sessions. \n
- Acting as a personal tutor to undergraduate and postgraduate students. \n
- Supervising UG or MSc dissertations in the relevant area. \n
- Marking exams and coursework papers for graduate and undergraduate students; with curriculum development/enhancement in line with the school ambition/strategy. \n
- Actively contributing to the function of the school by attending meetings and seminars and undertaking administrative duties assigned by the Head of School. \n
- Proactive approach to professional development and scholarship. \n
- Financial Modelling: Expertise in financial modelling, corporate finance, investments, risk management, \n
- Excel/VBA, and preferably Python. \n
- Research Methods & Dissertation Teaching: Strong quantitative research skills, experience with statistical software and financial databases, and the ability to teach and supervise postgraduate dissertations. \n
- Large-Scale Data Engineering for FinTech: Expertise in cloud computing, big data technologies (e.g., Hadoop ecosystem), data engineering, and data management. \n
- Introduction to AI & Data Analysis: Knowledge of AI/ML, data analytics, visualization, text analytics, and relevant programming/software tools. \n
Administration Responsibilities
\n- \n
- If needed, fulfilling the role of unit/course director or aiding unit/course director in the administration, development, and teaching of the relevant unit. \n
- 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. \n
- Making a wider contribution to the success of the University from their participation in faculty and University wide governance and development activities. \n
- Other leadership and administrative duties as assigned by the Head of Group. \n
RELATIONSHIPS
\nReporting Manager: Dean
\nRELEVANT SUBJECT EXPERTISE
\n- \n
- Expertise in Finance, FinTech, Data Science, or closely related disciplines. \n
- Strong quantitative research, analytical, and financial modelling capabilities. \n
- Experience with relevant statistical software, financial databases, programming, and data analysis tools. \n
- Knowledge of AI/ML, data engineering, cloud computing, big data technologies, data visualisation, and text analytics. \n
PERSON SPECIFICATION
\nRelevant Experience, Skills and Knowledge
\nInternal Contacts
\n- \n
- School and faculty staff \n
- School undergraduate and / or post-graduate students \n
- Staff and students in the wider university \n
External Contacts
\n- \n
- Research collaborators \n
- Dissertation supervisors \n
- External Partner Organisations \n
Essential
\n- \n
- 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. \n
- Evidence of a proactive approach to teaching and student engagement. \n
- Evidence of taking initiative to improve students' learning. \n
- Evidence of excellent organisational and administrative skills. \n
- Evidence of responsibility for planning your own professional development. \n
- Evidence of ability to contribute effectively to the administration and management of the department, school and faculty. \n
- Experience of effectively supervising undergraduate and masters' projects and dissertations. \n
Relevant Qualifications
\nEssential
\n- \n
- 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. \n
Desirable
\n- \n
- HE teaching qualification. \n
- Links with accreditation bodies. \n
- Digital/Blended learning experience. \n
- Communication and Interpersonal Skills \n
Essential
\n- \n
- Excellent interpersonal skills for collaborative working. \n
- The ability to communicate effectively both orally and in writing to different audiences. \n
- Flexibility and ability to adapt to changing circumstances. \n