Indian School of Business & Finance (ISBF)
Join ISBF and teach on globally recognised
University of London
degree programmes with academic direction from the
London School of Economics and Political Science.
We are seeking permanent faculty members with strong expertise in
Statistics and Advanced Statistics
to teach one or more of the following subjects:
Statistics 1
Statistics 2
Advanced Statistics: Distribution Theory & Advanced Statistics: Statistical Inference.
Essential Requirements
Robust foundation in
statistical theory, probability, and applied statistics
Expertise in areas including:
Probability and Probability Distributions
Distribution Theory
Sampling and Sampling Distributions
Estimation and Confidence Intervals
Hypothesis Testing
Statistical Inference
Correlation and Regression
Statistical Data Analysis
Ability to apply rigorous statistical methods to
economic,
business, and social science problems
Proficiency in
R, Python, Stata, SPSS
, or equivalent statistical tools is desirable
Excellent analytical, communication, and presentation skills
Ability to contribute to teaching, curriculum development, student mentoring, and academic initiatives
Qualifications
Master's degree in
Statistics, Mathematics, Economics, Data Science, or a related discipline
PhD in Statistics or a related field is highly desirable
Prior teaching, research, or industry experience will be an added advantage
If you are passionate about rigorous statistical thinking and its application to real-world problems, we'd love to hear from you.
Interested candidates are invited to apply with their CV and a brief cover letter.
📌 Permanent Faculty Position: Advanced Statistics/ Statistics 1/ Statistics 2 (Mumbai)
🏢 Indian School of Business and Finance
📍 Mumbai
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