Assistant/Associate Professor in Quantitative Finance

University of Nottingham Malaysia; Semenyih; On-site; MYR 180,000 - 280,000; Full time

Job summary

The Nottingham University Business School at the University of Nottingham Malaysia (UNM) invites applications for an Assistant Professor/Associate Professor in Finance. The role emphasizes quantitative finance, financial analytics, and risk analytics, with teaching and research across undergraduate and postgraduate levels.

Ideal candidates have strong programming skills (SAS, Python, R, MATLAB), a record of impactful research, and potential to contribute to industry collaborations and

Qualifications

• PhD/Professional Doctorate in Finance/Economics with publications in the field.
• PGCHE or equivalent; or Fellowship of Advance HE via Nottingham scheme.
• Proven teaching experience in Finance/Analytics within a business school.
• Collaborative research in teams and strong quantitative skills.
• Knowledge of trends in business school education and external engagement.

Responsibilities

• Deliver high-quality, research-informed teaching to undergraduates and postgraduates.
• Contribute to executive education with industry and government partners.
• continually update curriculum to meet ASEAN region needs.
• Provide pastoral and academic support to students and supervise doctoral projects.
• Pursue external funding and disseminate research nationally and internationally.
• Collaborate with UK/China counterparts to enhance tri-campus opportunities.
• Fulfil administrative duties at modular/course/school/university levels.

Skills

Quantitative Finance

Financial Modelling

Financial Analytics

Risk Analytics

Teaching in Finance

Industry collaboration

SAS

Python

R

MATLAB

Education

PhD/Professional Doctorate in Finance/Economics

Publications in Quantitative Finance/Analytics

PGCHE or equivalent

Tools

SAS

Python

R

MATLAB

Job description

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.
• 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 about the role, please refer to the Role Profile available on our website.

Job Listing - The University of Nottingham - Malaysia Campus

All applications will be treated in strict confidence and only shortlisted candidates will be notified.

*Pursuant to the Personal Data Protection Act 2010, you are advised to read and understand our Notice and Choice Principle Document, which is posted in our website. By submitting your detailed resume, you declare that you have read, understood and accepted our Notice and Choice Principle Document and have consented to providing your sensitive personal data to be processed by us.