Economics & Statistics Tutor (Mumbai)

Economics & Statistics Tutor (Mumbai)

30 Oct
|
Techmentry
|
Mumbai

30 Oct

Techmentry

Mumbai

Job Title: Online Economics & Statistics Tutor Format: 1:1 Online Live Sessions Compensation: ₹800 / hour Experience Required: Minimum 6+ Years

About the Role
We are looking for a highly experienced and mathematically rigorous Economics and Statistics Tutor to deliver personalized, 1:1 online lectures to an undergraduate student. Because UCL approaches Economics and Statistics with high analytical and mathematical rigor, the ideal candidate must have a robust command of university-level Microeconomics, Macroeconomics, Calculus-based Probability, and Econometrics, along with prior experience teaching international undergraduate students.

Key Responsibilities
• Conduct engaging, high-impact 1:1 live online tutoring sessions tailored to the student's pace and UCL’s academic calendar.
• Deliver comprehensive instruction across two core first-year UCL modules: ECON0002 (Economics) and ECON0005 (Statistical Methods for Economics).
• Guide the student through mathematical proofs, calculus-based distributions, economic modeling, and interactive problem sets (including Pearson MyLab Global).
• Assist with exam preparation, past paper practice, and conceptual clarity in line with UCL examination standards. Candidate Requirements
•

Education:
Master’s degree (M.
A. / M.
Sc.) or Ph.
D. in Economics, Econometrics, or a closely related quantitative field.
•

Experience:
Minimum 6 years of teaching experience at the undergraduate/university level or in advanced international curriculum tutoring.
• International Exposure: Proven track record of teaching international students (familiarity with UK university standards, specifically UCL curricula, is a strong plus).
• Technical Setup: High-speed internet, digital writing pad/stylus for live mathematical derivations, and fluency in English. Course Topics Covered Module 1: Economics (UCL ECON0002) Curriculum: CORE Econ – The Economy 2.0 Volume 1: Microeconomics
• Prosperity, Inequality, and Planetary Limits




• Technology and Incentives
• Scarcity, Wellbeing, and

Working Hours
• Strategic Interactions and Social Dilemmas
• Rules of the Game: Who Gets What and Why
• The Firm and Its Employees
• The Firm and Its Customers
• Supply and Demand: Markets with Many Buyers and Sellers
• Lenders, Borrowers, and Differences in Wealth
• Market Successes and Failures Volume 2: Macroeconomics
• The Supply Side of the Macroeconomy: Unemployment and Real Wages
• Unemployment, Wages, and Inequality: Supply-Side Policies and Institutions
• Aggregate Demand and the Multiplier Model
• Inflation and Unemployment
• Macroeconomic Policy: Inflation and Unemployment
• The Financial Sector: Debt, Money, and Financial Markets
• Macroeconomic Policy in the Global Economy
• Economic Dynamics: Financial and Environmental Crises
• Uneven Development on a Global Scale
• Government as Economic Actor: Economics, Politics, and Public Policy
• Module 2: Statistical Methods for Economics (UCL ECON0005) Reference: Statistics for Business and Economics (10th Global Edition) by Newbold, Carlson, & Thorne
• Descriptive Statistics & Data Visualization: Graphical and Numerical Data Description
• Probability Theory & Foundations: Probability, Discrete Random Variables & Probability Distributions, Continuous Random Variables & Probability Distributions
• Statistical Inference: Sampling and Sampling Distributions, Single Population Estimation, Additional Topics in Estimation
• Hypothesis Testing: Single Population Hypothesis Testing, Additional Topics in Hypothesis Testing
• Regression & Econometrics Foundations: Simple Regression, Multiple Regression, Additional Topics in Regression Analysis
• Advanced Topics: Analysis of Categorical Data, Analysis of Variance (ANOVA), Time-Series Analysis and Forecasting, Additional Sampling Topics Compensation & Perks
• Rate: ₹800 per hour
• Mode: 100% Remote / Online (1:1 instruction
• Consistent Schedule: Regular hours supporting a full academic year curriculum

📌 Economics & Statistics Tutor (Mumbai)
🏢 Techmentry
📍 Mumbai

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