Assistant/Associate Professor in in Quantitative Finance

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The Nottingham University Business School at the University of Nottingham Malaysia (UNM) is seeking applications from suitably qualified candidates for the position of Assistant Professor/Associate Professor.

We welcome applications from academics with expertise in Quantitative Finance, Financial Modelling, Financial Analytics, and/or Risk Analytics who are passionate about advancing knowledge through innovative teaching, impactful research, and meaningful contributions to academic excellence.

Applicants should possess strong quantitative and programming skills (e.g., SAS, Python, R, MATLAB), experience with financial data analytics, and the ability to teach courses such as Quantitative Finance, Financial Risk Management, Derivatives, Investments, Financial Econometrics, and FinTech. Industry experience and professional qualifications (e.g., CFA, FRM, CQF) will be viewed favourably.

Job Responsibilities:

 1) Education and student experience

• Deliver high quality, research-informed teaching to students at undergraduate and postgraduate levels.
• Contribute effectively to professional and executive education delivered with and for industry and government partners.
• Continually improve the curriculum and teaching and learning methods to ensure they are aligned with changing industry requirements and graduate destinations in the ASEAN region, and beyond.
• Provide pastoral and academic support to students.
• Supervise student projects including doctoral supervision.
• Actively pursue opportunities to enhance your teaching practice through continuous professional development.

 2) Research and knowledge exchange (RKE)

• Produce outstanding and internationally significant research outputs in line with your research plan, meeting or exceeding cyclical external accreditation body requirements.
• Pursue external funding to support research activities.
• Identify and pursue opportunities to disseminate research at a national and international level.
• Identify and pursue opportunities to strengthen the impact of research through external engagement and knowledge exchange.
• Supervise research assistants and doctoral students as required.

 3) Global engagement

• Work proactively with your counterparts in the UK and China to enhance tri-campus opportunities for student learning and collaborative research and knowledge exchange.
• Contribute to offshore and international partnership education as required.

 4) Citizenship and administration

• Contribute to an ambitious, inclusive, and engaged culture that embodies the University’s values.
• Fulfil administrative responsibilities at a modular, course, School, Faculty and/or University level.
• Participate in the annual appraisal process, aligning your individual objectives to University KPIs and your career development goals.

Job Requirements:

• PhD/Professional Doctorate in Finance/ Economics with publications in Quantitative Finance, Financial Economics, or Analytics together with relevant experience, completed or completion within six months at the time of application.
• PGCHE or equivalent. Those not holding a teaching qualification will be required to complete one or achieve Fellowship of Advance HE through the Nottingham Recognition Scheme.
• Proven teaching experience in Finance/Business Economics with Analytics within business school environment.
• Working experience in collaborative research teams.
• Excellent research outputs in Analytics
• Excellent teaching/training skills.
• Specialist knowledge in Quantitative Finance, Financial Modelling, Financial Analytics, and/ or Risk Analytics.
• Knowledge of trends in business school education/research.
• Skilled at producing high quality and impactful scholarly, research and/or policy outputs.
• Ability to engage with diverse groups of people to achieve positive outcomes.

For further details, please refer to the Role Profile HERE.

Applications must include written documentation from candidates, including an updated CV, a cover letter, and the contact details of three referees, along with their telephone numbers and email addresses via JOB PORTAL by 29 September 2026.

Ref No : NUBSFASS -  260961 - 2

Posted on 8th September 2026