RBI Grade B Syllabus 2023, Revised Syllabus & Exam Pattern

RBI Grade B Syllabus 2023

The RBI Garde B Syllabus 2023 is a must for candidates to do well in the upcoming RBI Grade B Examination. The RBI Grade B Recruitment notification as released on 9 May 2023, has a detailed syllabus and exam pattern. While it is expected that the candidates appearing this year are well versed with the RBI Grade B Syllabus 2023, but there are a few changes in the exam pattern in RBI Grade B in specialist vacancies like DEPR and DISM. Here candidates can find the latest and updated RBI Grade V Syllabus 2023 and exam pattern for General, DISM and DEPR.

RBI Grade B Recruitment 2023

RBI Grade B Revised Syllabus & Exam Pattern 2023

The RBI Grade B Exam comprises examinations for General (DR), DSIM, and DEPR exams. The RBI Grade B Syllabus for General (DR) has Reasoning, Quantitative Aptitude, and English Language and General Awareness as sections. Overall for all three posts, the RBI Grade B selection process has a written exam and interview stage. The space below has the detailed RBI Grade B Syllabus 2023 and Exam Pattern.

Latest Updates– The reserve bank of India has released the detailed syllabus for the post of Grade B (DR) DSIM through a subsequent notification. The candidates can check out the latest detailed RBI Grade B Syllabus for (DR) DSIM below.

RBI Grade B Syllabus for (DR) DSIM

RBI Grade B Syllabus: Overview

To get a quick recall of all the important points regarding RBI Grade B Syllabus 2023 aspirants should refer to the overview table mentioned below.

RBI Grade B Syllabus 2023: Overview
Organization	Reserve Bank Of India
Exam Name	RBI Exam 2023
Post	Grade B
Vacancy	To be Notified
Category	Bank Job
Language Of Exam	English
Selection Process	Phase 1, Phase 2, and Interview
Application Mode	Online
Official Website	www.rbi.org.in
RBI Grade B Syllabus 2023	Check This Post in Hindi

RBI Grade B Syllabus 2023: Selection Process

The information on RBI Grade B Selection Process is as important as the RBI Grade B Syllabus and Exam Pattern. Only after the candidates have clarity on selection can they truly understand the RBI Grade B Syllabus 2023 and exam pattern. Here is the detailed selection process for RBI Grade B Exam.

RBI Grade B Syllabus 2023: Selection Process
Exam Stages	General (DR)	DEPR	DSIM
Phase-I	Phase – I – Online Examination	Phase – I – Paper I & II Online Examination	Phase – I – Paper I Online Examination
Phase-II	Phase – II – Paper I, II & III Online Examination	Phase – II – Paper I & II Written Examination	Phase – II – Paper II & III Online/Written Examination
Interview	Yes	Yes	Yes

RBI Grade B Exam Pattern 2023 for General (DR)

The RBI Grade B Exam Pattern is generally given in the detailed RBI Grade B Notification.  Here the candidates can check the detailed RBI Grade B Exam Pattern for all the stages of the examination. As mentioned above the RBI Grade B Exam has three stages for General (DR). Here is the detailed RBI Grade B Exam Pattern 2023.

RBI Grade B Exam Pattern for Phase 1

Here is the detailed exam pattern for Phase I of RBI Grade B Exam 2023.

1. The RBI Grade B Phase 1 exam consists of a total of 200 questions, with each question carrying one mark.
2. The maximum mark possible in the exam is 200 Marks.
3. Candidates are given a total of 120 minutes or 2 hours to complete the exam.
4. There is a  negative marking of 0.25 marks for every incorrect answer marked by the candidate.
5. The exam also has a sectional cut-off for each section of the exam, and candidates will have to clear both sectional cut-offs as well as the overall cut-off to qualify for the next stage.

RBI Grade B Phase 1 Exam Pattern 2023
Name Of The Section	No. Of Questions	Marks	Duration
English Language	30	30	25 Minutes
General Awareness	80	80	25 Minutes
Quantitative Aptitude	30	30	25 Minutes
Reasoning	60	60	45 Minutes
Total	200	200	120 Minutes

Note- The marks scored by candidates in the RBI Grade B Phase 1 exam will not be considered in the final merit list. The merit list will be based on the marks scored by candidates in the Phase 2 exam and the interview round.

RBI Grade B Exam Pattern for Phase 2

The exam pattern of the RBI Grade B exam is both objective and descriptive in nature. Candidates can check the RBI Grade B Phase 2 exam pattern from the table provided below.

RBI Grade B Phase 2 Exam Pattern
Name Of Paper	Type Of Paper	Time	No. Of Questions	Marks
Paper-I: Economic and Social Issues	50% Objective	30 Minutes	30 Objective Questions	50
	50% Descriptive	90 Minutes	4 Descriptive Questions	50
Paper-II: English (Writing Skills)	Descriptive	90 Minutes	3	100
Paper-III: General Finance & Management	50% Objective	120 Minutes	30 Objective Questions	50
	50% Descriptive		4 Descriptive Questions	50

RBI Grade B Syllabus 2023 for DR (General)

RBI Grade B Syllabus for Phase 1 has four subjects. You can access here the section-wise syllabus for RBI Grade B.

1. English Language
2. General Awareness
3. Quantitative Aptitude
4. Reasoning Ability

RBI Grade B Syllabus 2023: Phase I General (DR)

Here is the detailed RBI Grade B Syllabus for the phase 1 exam.

RBI Grade B Syllabus 2023: Phase I General (DR)
English Language	Reasoning Ability	Quantitative Aptitude	General Awareness
Reading Comprehension	Puzzles	Data Interpretation	Indian Banking Systems
Cloze Test	Seating Arrangements	Inequalities (Quadratic Equations)	Indian Financial Systems
Fillers	Direction Sense	Number Series	Govt. Schemes and Policies
Error Detection	Blood Relation	Approximation or Simplification	Current Affairs
Vocabulary based questions	Syllogism	Data Sufficiency	Static Awareness
Sentence Improvement	Order and Ranking	Miscellaneous Arithmetic Problems	Monetary Plans
Jumbled Paragraph	Coding-Decoding	Quantity Comparison (Q1 & Q2)	National Institutions
Phrase Replacement/ Phrase Correction	Machine Input-Output		Banking Terms
Match The Column	Inequalities
Word Swap	Alpha-Numeric-Symbol Series
Word Rearrangement	Data Sufficiency
Idioms	Logical Reasoning (Passage Inference, Statement, Assumption, Conclusion, Argument)
Paragraph /Sentences Restatement
Paragraph Based Questions
Paragraph Fillers

RBI Grade B Syllabus 2023: Phase II General (DR)

In the Phase 2 exam of the RBI Grade B officer, there are 3 Papers viz.

• Paper I (Economic and Social Issues)
• Paper II (English Writing Skills)
• Paper III (General Finance and Management)

We have shared the detailed updated RBI Grade B Syllabus for Phase 2.

RBI Grade B Syllabus 2023: Phase II Paper 1 General (DR)

The detailed topic-wise syllabus for RBI Grade B Phase 2 Paper I for Economic and Social Issues is provided below:

• Growth and Development – Measurement of growth: National Income and per capita income – Poverty Alleviation and Employment Generation in India – Sustainable Development and Environmental issues.
• Indian Economy: Economic History of India, Changes in Industrial and Labour Policy, Monetary and Fiscal Policy since reforms of 1991, Priorities and recommendations of Economic Survey and Union Budget – Indian Money and Financial Markets: Linkages with the economy – Role of Indian banks and Reserve Bank in the development process, Public Finance, Political Economy – Industrial Developments in India- Indian Agriculture – Services sector in India.
• Globalization: Opening up of the Indian Economy, Balance of Payments, Export-Import Policy, International Economic Institutions, IMF and World Bank, WTO, Regional Economic Co-operation; International Economic Issues.
• Social Structure in India: Multiculturalism – Demographic Trends – Urbanisation and Migration, Gender Issues – Social Justice

RBI Grade B Syllabus 2023: Phase II Paper 2 General(DR)

The RBI Grade B Syllabus 2023 for Phase 2 Paper II will be descriptive. The paper on English shall be framed in a manner to assess the writing skills including expression and understanding of the topic

RBI Grade B Syllabus 2023: Phase II Paper 3 General(DR)

The RBI Grade B Syllabus 2023 for Phase 2 and Paper III includes General Finance and Management. We have shared the detailed topic-wise syllabus for the convenience of the aspirants:

(I) Finance

(a) Financial System

• Structure and Functions Of Financial Institutions
• Functions Of Reserve Bank of India
• Banking System in India – Structure and Developments, Financial Institutions – SIDBI, EXIM Bank, NABARD, NHB, NaBFID etc.
• Recent Developments in Global Financial System and its impact on Indian Financial System
• Role Of Information Technology in Banking and Finance
• Non- Banking System
• Developments in Digital Payments

(b)Financial Markets

Primary and Secondary Markets (Forex, Money, Bond, Equity, etc.), function, instruments, recent developments.

(c) General Topics

• Financial Risk Management
• Basics of Derivatives
• Global financial markets and International Banking-broad trends and latest developments
• Financial Inclusion
• Alternate source of finance, private and social cost-benefit, Public-Private Partnership
• Corporate Governance in Banking Sector
• The Union Budget – Concepts, approach and broad trends
• Basics of Accounting and Financial Statements- Balance Sheet, Profit and Loss, Cash Flow Statements, Ratio Analysis(such as Debt to Equity, Debtor Days, Creditor Days, Inventory Turnover, Return On Assets, Return On Equity, etc. )
• Inflation: Definition, trends, estimates, consequences, and remedies (control): WPI, CPI -components and trends; striking a balance between inflation and growth through monetary and fiscal policies.

(d) Management:

        Fundamentals of management & organizational behavior

•  Introduction to management; Evolution of management thought: Scientific, Administrative, Human relations and Systems approach to management; Management functions and Managerial roles; Nudge theory
• Meaning & concept of organizational behavior; Personality: meaning, factors affecting personality, Big five model of personality; the concept of reinforcement; Perception: concept, perceptual errors. Motivation: Concept, importance, Content theories (Maslow’s need theory, Alderfers’ ERG theory, McCllelands’ theory of needs, Herzberg’s two-factor theory) & Process theories (Adams equity theory, Vrooms expectancy theory.
• Leadership: Concept, Theories (Trait, Behavioural, Contingency, Charismatic, Transactional and Transformational leadership; Emotional Intelligence: Concept, Importance, Dimensions. Analysis of Interpersonal Relationship: Transactional Analysis, Johari window; Conflict: Concepts, Sources, Types, Management of conflict; Organizational Change: Concept Kurt Lewin Theory of Change
• Organizational Development (OD): Organisational Change, Strategies for Change, Theories of
  Planned Change (Lewin’s change model, Action research model, Positive model).

        Ethics At The Workplace and Corporate Governance

• Meaning of ethics, why ethical problems occur in business. Theories of ethics: Utilitarianism: weighing social cost and benefits, rights and duties, Justice and fairness, ethics of care, integrating utility, rights, justice & caring, An alternative to moral principles: virtue ethics, teleological theories, egoism theory, relativism theory, Moral issues in business: Ethics in compliance, Finance, Human Resources, Marketing, etc. Ethical principles in Business: Introduction, Organization Structure, and Ethics, Role of Board of Directors, Best Practices in Ethics program, Code of Ethics, Code of Conduct, etc.
• Corporate Governance: Factors affecting Corporate Governance; Mechanisms of Corporate Governance
• Communication: Steps in the Communication Process; Communication Channels; Oral versus Written communication; Verbal versus nonverbal communication; upward, downward and lateral communication; Barriers to Communication, Role of Information Technology.

RBI Grade B Exam Pattern 2023 for DEPR

1. The process for selecting candidates for RBI Grade B (DR)- DEPR involves an Online/Written Examination and an Interview.
2. In Phase I, Paper I is Objective Type (on Economics), while Paper II is Descriptive Type (on English). In Phase II, Paper I & Paper II are Descriptive Type (on Economics).
3. Candidates must score the minimum aggregate marks in Paper I, II of Phase I, in order to be shortlisted for Paper II Exam.
4. The final selection will be based on the candidate’s performance in Phase I, II, and the Interview round. The Interview round will carry 75 marks.

RBI Grade B Exam Pattern For DEPR
Phase	Name Of Paper	Duration	Maximum Marks
Phase I	Paper – I Objective Type (on Economics) Paper – II English – Descriptive (To be typed with help of keyboard)	120 Minutes	100
		120 Minutes	100
Phase II	Paper – I Descriptive Type (on Economics) (Question paper displayed on computer, answers to be written on paper)Paper – II Descriptive Type (on Economics) (Question paper displayed on computer, answers to be written on paper)	120 Minutes	100
		120 Minutes	100
Total			400

RBI Grade B Syllabus for DEPR

The syllabus for RBI Grade B (DR) DEPR is as per the specialization. The syllabus pertains to core economics and is generally similar to the syllabus for a Master’s Degree in economics.

Phase – I: Paper I Objective Type (on Economics)

(1) Microeconomics (Theories of consumer’s demand; Production; Market Structures and Pricing; Distribution; and Welfare Economics)
(2) Macro Economics (Theories of Employment, Output and Inflation; Monetary Economics; ISLM Model; Schools of Economic Thought)
(3) International Economics (Theories of International Trade; Balance of Payments; Exchange Rate Models)
(4) Theories of Economic Growth and Development (Classical neo-classical approaches to economic growth and major theories of economic development)
(5) Public Finance (Theories of taxation and public expenditure and Public Debt Management)
(6) Environmental Economics (Green GDP, Environmental Valuation, Environmental policy instruments)
(7) Quantitative Methods in Economics (Mathematical and Statistical Methods for Economics, Ordinary Least Square Regression)
(8) Current developments in Indian Economy (Growth, inflation, poverty, unemployment, financial sector developments, external sector developments, fiscal developments, agriculture, industry, infrastructure, and services)

Phase – I: Paper II Descriptive Type (on English)

The English paper will be designed to evaluate the candidate’s writing abilities, including their expression and comprehension of the given topic.

Phase – II: Paper – I Descriptive Type (on Economics)

Microeconomic Module
• Consumer Theory: Cardinal and Marginal Utility Analysis, Consumer Surplus, Indifference Curve Analysis, Price, Income and Substitution Effects, Game Theory
• Production Theory: Forms of Production function; Laws of Returns to Scale; Partial Equilibrium Vs General Equilibrium Analysis
• Market Theory: Pricing under different market structures

• Distribution Theories: Ricardo, Marx, Kalecki and Kaldor

• Welfare Economics: Pareto Optimality, Schools of Welfare Thought including Arrow, Coase and Sen
Macroeconomic Module
• National Income Accounting: Various methods for measurement of National Income
• Theory of employment and Output: Classical and Neo-classical approaches, Keynesian theory of Employment and output, Post-Keynesian developments, Business Cycles
• Inflation: Types of Inflation, Philip’s curve, Taylor’s Rule, Lucas Critique
• Money and Banking: Quantity theory of Money, Neutrality of money, IS – LM Model and AD-AS Models, Money Multiplier, Monetary Policy – Scope, Objectives and instruments, Inflation targeting
• Theories of Economic Growth and Development: Theories of growth, Classical and neoclassical approaches, Theories of Economic Development
• International trade and Balance of payments: Theories of international trade, Determination of exchange rates, Impossible Trinity
• Public Finance: Theories of taxation, Theories of public expenditure, Theories of public debt management

Phase – II – Paper-II Descriptive Type (on Economics)

Module on Quantitative Methods in Economics
• Mathematical Methods in Economics: Differentiation and Integration, Optimisation, Sets, Matrices, Linear algebra and Linear programming
• Statistical Methods in Economics: Measures of central tendency and dispersions, Probability, Time series, Index numbers.
• Econometrics and advanced Applications: Regression analysis, Panel data econometrics, Time Series econometrics, Basics of Bayesian Econometrics, Basic application of Artificial Intelligence/ Machine Learning

Module on Indian Economy – Policy and Trends
• Fiscal policy in India: Evolution, scope and limitations, current trends
• Monetary Policy in India: Evolution, Functions of the Reserve Bank of India, MonetaryFiscal coordination, Inflation targeting, Operating framework of Monetary Policy, Current trends
• Banking and financial sector development in India: Banks and other constituents of Indian financial markets and related developments, Current trends
• Inflation in India: Trends and drivers
• External sector developments in India: Exchange rate management, external debt, Balance of payments, Current trends

 

RBI Grade B Exam Pattern For DSIM

1. The process for selecting candidates for RBI Grade B (DR)- DSIM involves an Online/Written Examination and an Interview.
2. The Examination consists of three papers. Paper I is Objective Type (on Statistics), while Paper II and III are descriptive type.
3. Candidates must score the minimum aggregate marks in Paper I as prescribed, in order to be shortlisted for Paper II/III based on their Paper I scores.
4. The final selection will be based on the candidate’s performance in Paper I, II & III, and the Interview round. The Interview round will be carried for 75 marks.

RBI Grade B Exam Pattern 2023 for DSIM
Paper		Duration	Marks
Phase I	Paper-I Statistics(Objective Type)	120 minutes	100
Phase II	Paper-II Statistics(Descriptive Type) (Question paper displayed on computer, answers to be written on paper)	180 minutes	100
	Paper-III English – Descriptive (To be typed with help of keyboard)	90 minutes	100
	Total		300

RBI Grade B Syllabus for DSIM

Here, we have discussed the RBI Grade B Syllabus for DSIM for all three papers.

Paper-I

Questions would cover Probability: Definition of Probability, Standard distribution, Large and small sample theory, Analysis of Variance, Estimation, Testing of Hypotheses, Multivariate analysis, and Stochastic Processes.

Paper-II

Questions would cover (i) Probability and Sampling, (ii) Linear Models and Economic Statistics, (iii) Statistical Inference: Estimation, Testing of hypothesis and Non-parametric Test, (iv) Stochastic Processes, (v) Multivariate analysis, (vi) Econometrics and time series, (vii) Statistical computing; and (viii) Data Science, Artificial Intelligence and Machine Learning Techniques.

Candidates will have ample options to answer the mandatory number of questions from a minimum of three out of the eight groups mentioned above. Here is the detailed syllabus for RBI Grade B Syllabus for DSIM.

1.     Theory of Probability and Probability Distributions

Classical and axiomatic approach of probability and its properties, Bayes theorem and its application, strong and weak laws of large numbers, characteristic functions, central limit theorem, probability inequalities.

Standard probability distributions – Binomial, Poison, Geometric, Negative binomial, Uniform, Normal, exponential, Logistic, Log-normal, Beta, Gamma, Weibull, Bivariate normal etc.

Exact Sampling distributions – Chi-square, student’s t, F and Z distributions and their applications. Asymptotic sampling distributions and large sample tests, association and analysis of contingency tables.

Sampling Theory:

Standard sampling methods such simple random sampling, Stratified random sampling, Systematic sampling, Cluster sampling, Two stage sampling, Probability proportional to size etc. Ratio estimation, Regression estimation, non-sampling errors and problem of non-response, and Correspondence and categorical data analysis.

2.     Linear Models and Economic Statistics

Simple linear regression – assumptions, estimation, and inference diagnostic checks; polynomial regression, transformations on Y or X (Box-Cox, square root, log etc.), method of weighted least squares, inverse regression. Multiple regression – Standard Gauss Markov setup, least squares estimation and related properties, regression analysis with correlated observations. Simultaneous estimation of linear parametric functions, Testing of hypotheses; Confidence intervals and regions; Multicollinearity and ridge regression, LASSO.

Definition and construction of index numbers, Standard index numbers; Conversion of chain base index to fixed base and vice-versa; base shifting, splicing and deflating of index numbers; Measurement of economic inequality: Gini’s coefficient, Lorenz curves etc.

3.     Statistical Inference: Estimation, Testing of Hypothesis and Non-Parametric Test

Estimation: Concepts of estimation, unbiasedness, sufficiency, consistency and efficiency. Factorization theorem. Complete statistic, Minimum variance unbiased estimator (MVUE), RaoBlackwell and Lehmann-Scheffe theorems and their applications. Cramer-Rao inequality.

Methods of Estimation: Method of moments, method of maximum likelihood estimation, method of least square, method of minimum Chi-square, basic idea of Bayes estimators.

Principles of Test of Significance: Type-I and Type-II errors, critical region, level of significance, size and power, best critical region, most powerful test, uniformly most powerful test, Neyman Pearson theory of testing of hypothesis. Likelihood ratio tests, Tests of goodness of fit. Bartlett’s test for homogeneity of variances.

Non-Parametric Test: The Kolmogorov-Smirnov test, Sign test, Wilcoxon Signed-rank test, Wilcoxon Rank-Sum test, Mann Whitney U-test, Kruskal-Walls one way ANOVA test, Friedman’s test, Kendall’s Tau coefficient, Spearman’s coefficient of rank correlation.

4.     Stochastic Processes

Poisson Processes: Arrival, interarrival and conditional arrival distributions. Non-homogeneous Processes. Law of Rare Events and Poisson Process. Compound Poisson Processes.

Markov Chains: Transition probability matrix, Chapman- Kolmogorov equations, Regular chains and Stationary distributions, Periodicity, Limit theorems. Patterns for recurrent events. Brownian Motion – Limit of Random Walk, its defining characteristics and peculiarities; Martingales.

5.     Multivariate Analysis

 Multivariate normal distribution and its properties and characterization; Wishart matrix, its distribution and properties, Hotelling’s T² statistic, its distribution and properties, and its applications in tests on mean vector, Mahalanobis’ D² statistics; Canonical correlation analysis, Principal components analysis, Factor analysis and cluster analysis.

6.     Econometrics and Time Series

General linear model and its extensions, ordinary least squares and generalized least squares estimation and prediction, heteroscedastic disturbances, pure and mixed estimation. Auto correlation, its consequences and related tests; Theil BLUS procedure, estimation and prediction; issue of multi-collinearity, its implications and tools for handling it; Ridge regression.

Linear regression and stochastic regression, instrumental variable regression, autoregressive linear regression, distributed lag models, estimation of lags by OLS method. Simultaneous linear equations model and its generalization, identification problem, restrictions on structural parameters, rank and order conditions; different estimation methods for simultaneous equations model, prediction and simultaneous confidence intervals.

Exploratory analysis of time series; Concepts of weak and strong stationarity; AR, MA and ARMA processes and their properties; model identification based on ACF and PACF; model estimation and diagnostic tests; Box-Jenkins models; ARCH/GARCH models.

Inference with Non-Stationary Models: ARIMA model, determination of the order of integration, trend stationarity and difference stationary processes, tests of non-stationarity.

7.     Statistical Computing

Simulation techniques for various probability models, and resampling methods jack-knife, bootstrap and cross-validation; techniques for robust linear regression, nonlinear and generalized linear regression problem, tree-structured regression and classification; Analysis of incomplete data – EM algorithm, single and multiple imputation; Markov Chain Monte Carlo and annealing techniques, Gibbs sampling, Metropolis-Hastings algorithm; Neural Networks, Association Rules and learning algorithms.

8.     Data Science, Artificial Intelligence and Machine Learning Techniques

Introduction to supervised and unsupervised pattern classification; unsupervised and reinforcement learning, basics of optimization, model accuracy measures.

Supervised Algorithms: Linear Regression, Logistic Regression, Penalized Regression, Naïve Bayes, Nearest Neighbour, Decision Tree, Support Vector Machine, Kernel density estimation and kernel discriminant analysis; Classification under a regression framework, neural network, kernel regression and tree and random forests.           

Unsupervised Classification: Hierarchical and non-hierarchical methods: k-means, k-medoids and linkage methods, Cluster validation indices: Dunn index, Gap statistics.

Bagging (Random Forest) and Boosting (Adaptive Boosting, Gradient Boosting) techniques; Recurrent Neural Network (RNN); Convolutional Neural Network; Natural Language Processing.

Paper-III: English

The English paper will be designed to evaluate the candidate’s writing abilities, including their expression and comprehension of the given topic.

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