- 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 qualified 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.

📌 Assistant Professor (Gurugram)
🏢 Scholaris
📍 Gurugram