Assistant Professor - Finance/ Fintech

University of Bristol Mumbai · India

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.