Assistant Professor

Job Title: Assistant Professor / Associate Professor (Statistics, Quantitative Finance and Corporate Finance)

About the Role

Mumbai and Delhi based University is looking for faculty for its BSc (Hons) Actuarial Science/Finance programme, starting from the academic session 2026 to 2027. The programme has three specialisation streams: Core Finance, Quantitative Finance and Actuarial Science. Its curriculum is built around industry needs, and students use Excel, VBA, Python, R and Bloomberg as working tools from the first semester. We want faculty who teach with rigour and can connect theory to real financial problems.

Key Responsibilities

• Teach undergraduate courses in stattistics or quantitative finance and corporate finance, covering both classroom sessions and computer lab practicals.

• Prepare course handouts, session plans, lecture material, case studies, lab exercises and assessments in line with University guidelines.

• Conduct continuous assessment, mid term and end term evaluations, and keep academic records.

• Guide student research projects and support students during their industry apprenticeship.

• Mentor students on career choices and on professional examinations such as CFA and FRM.

• Contribute to curriculum review, programme documentation and accreditation work.

• Carry out research and publish in reputed journals.

• Build industry links for guest sessions, live projects, internships and placements.

Courses You May Teach

Quantitative Finance: Financial Mathematics, Business Statistics, Quantitative Methods (with R), Stochastic Processes and Markov Models, Econometrics, Assets and Derivatives Pricing, Predictive Analytics, Risk Management, Algorithmic Trading and Market Microstructure.

Corporate Finance: Corporate Finance, Financial Statement Analysis, Fixed Income and Equity Analysis, Financial Modelling and Analytics, Mergers, Acquisitions and Corporate Restructuring, Private Equity and Venture Capital, Portfolio Management, Strategic Financial Management.

Eligibility

• A Master's degree in Finance, Commerce, Economics, Mathematics, Statistics, Financial Engineering, MBA (Finance) or a related discipline, with at least 55% marks or an equivalent grade.

• UGC NET/SET or a PhD, as required by prevailing UGC regulations.

• Applicants for Associate Professor must meet the UGC criteria for that level.

Preferred

• A PhD in Finance, Quantitative Finance, Econometrics, Statistics or a closely related area.

• A professional qualification such as CFA, FRM, CQF or CA, or actuarial examinations passed.

• Working proficiency in Python or R, and in advanced Excel with VBA.

• Industry experience in investment banking, equity research, corporate finance, risk management, trading or quantitative research.

• Research publications in Scopus indexed or ABDC listed journals.

Key Skills

Quantitative Finance, Corporate Finance, Financial Modelling, Valuation, Derivatives, Econometrics, Risk Management, Python, R, Excel VBA, Teaching, Research

Salary: As per University norms, based on qualifications and experience.