Lecturer, Computational Finance

About the role

Academic City University is recruiting a Lecturer in Computational Finance within its Finance, Accounting and Business programmes. The post reports to the Head of Department and strengthens the university's programmes by integrating computational, quantitative and data-driven approaches. The closing date is until the position is filled, and only shortlisted candidates will be contacted.

Key responsibilities

• Teach undergraduate and postgraduate courses in Computational Finance, Quantitative Finance, Financial Modelling, Risk Management, FinTech, Corporate Finance and related areas.
• Design, review and update course content to reflect global trends in digital finance, data analytics and quantitative financial analysis.
• Supervise undergraduate projects, master's theses and doctoral research where applicable, using financial software, programming tools and real-world datasets.
• Help expand and modernise Finance, Accounting and Business curricula, and contribute to new programmes, electives and short courses.
• Collaborate with colleagues in mathematics, computer science, economics and engineering on interdisciplinary learning.
• Carry out research in computational finance, quantitative modelling, risk analytics or fintech, publish in peer-reviewed journals and seek research funding.
• Engage with industry partners, take part in academic committees and quality assurance, and contribute to community outreach and executive education.

Required profile

• PhD in Computational Finance, Quantitative Finance, Financial Engineering, Applied Finance, Management Science, Finance or a closely related field.
• Master's degree in Finance, Quantitative Methods, Mathematical Modelling or a related discipline if not covered by the PhD.
• Demonstrated teaching experience at tertiary level or strong potential for academic teaching.
• Desirable: CFA, FRM, PRM or CQF certification; evidence of industry engagement or applied research in finance or fintech.

Required skills

• Strong background in quantitative analysis, financial modelling and computational methods.
• Desirable: experience with Python, R, MATLAB, SQL and financial analytics platforms.
• Strong analytical and quantitative skills, excellent communication and presentation abilities, and ability to work in interdisciplinary teams.

To apply, send your CV and a cover letter outlining how you meet the requirements, the names of three referees, a Statement of Teaching Philosophy and a Research Statement by email to the university's careers office. Evidence of qualifications is checked at the interview stage.