RBI Grade B Syllabus 2025 PDF Download: Check Exam Pattern for Phase 1 and Phase 2

RBI Grade B Syllabus 2025 PDF Download: Candidates aiming to crack the RBI Grade B exam can refer to the RBI Grade B exam pattern 2025 on this page. Also, get here the updated RBI Grade B Officer syllabus 2025 pdf free download link. The RBI Grade B syllabus 2025 pdf download is very much important for effective preparation. With the help of this updated RBI Grade B exam pattern 2025 and the RBI Grade B syllabus 2025 pdf free download, the candidates can crack the exams. Candidates who appear in the examination are advised to prepare well by going through the detailed RBI Grade B syllabus 2025 pdf for phase 1 and phase 2. By knowing the updated RBI Grade B Syllabus pdf 2025 download, you can prepare for all the topics. Moreover, the RBI Grade B syllabus 2025 pdf free download is useful to make a successful study plan. This article helps them to know the complete details regarding the RBI Grade B syllabus 2025 pdf free download and the updated RBI grade B exam pattern 2025.

Attempt RBI Grade B Free Mock Test

RBI Grade B Exam Pattern 2025

The aspirants can check the RBI Grade B exam pattern 2025 given below. Along with this, we have provided the RBI Grade B syllabus 2025 pdf download link to cover all the sections as per the exam pattern. You can know the RBI Grade B exam pattern 2025 for all the posts. Also, the post-wise RBI Grade B syllabus 2025 is made available in a clear manner. The selection will be done in 3 phases - Phase 1, Phase 2, & Phase 3 (Interview).

Check RBI Grade B Cut Off 2025

RBI Grade B Prelims Exam Pattern 2025 (DR) - General

Here the aspirants can check the RBI Grade B prelims exam pattern 2025 phase 1 for (DR) - General.

• The RBI Grade B Phase 1 exam pattern 2025 consists of four sections.

• There is a total of 200 questions placed in the RBI Grade B Phase-I exam.

• The time duration is a total of 2 hours.

All these sections will give you the detailed RBI Grade B syllabus phase 1 pdf 2025.

Free Download RBI Grade B Previous Year Question Paper

Check RBI Grade B Salary 2025

RBI Grade B Exam Pattern 2025 Phase 2 for (DR) General

Here we have provided the RBI Grade B exam pattern 2025 phase 2 (DR) - General. Along, with the exam pattern, a detailed RBI Grade B Syllabus phase 2 pdf 2025 is given.

• The RBI Grade B Phase 2 exam consists of three papers.

• Totally, the exam is conducted for 300 marks. 

Check RBI Grade B Vacancy 2025

@ For both Paper I and III, there will be 30 questions and 50 marks for Objective questions (some questions carrying 2 marks each and some carrying 1 mark each). In case of Descriptive questions, 6 questions will be asked, of which candidates will be required to attempt 4 questions [2 of 15 marks each (with varying difficulty level) and 2 of 10 marks each]. In case, the candidate answers more than 4 questions in descriptive, first 4 shall be evaluated.

RBI Grade B Exam Pattern 2025 (DR) - DEPR

Here is the RBI Grade B exam pattern 2025 for (DR) - DEPR posts. For these posts also, the RBI Grade B syllabus 2025 pdf download is available here for all papers

• The selection process will be through Online/ Written Examination (WE) and interviews.

• There are 4 papers for the Examination.

• In Phase - I, there will be Paper – I: Objective Type (on Economics) and Paper- II: Descriptive Type (On English).

• In Phase - II, there will be Paper – I: Descriptive Type (on Economics) and Paper – II: Descriptive Type (on Economics).

• Candidates, who secure minimum aggregate marks in Paper-I & II of Phase - I, as prescribed, will be shortlisted for Phase-II of the examination.

RBI Grade B Exam Pattern 2025 (DR) - DSIM

Here we have provided the RBI Grade B exam pattern 2025 for (DR) - DSIM posts. For these posts, we have given the RBI Grade B syllabus 2025 pdf download for all papers.

RBI Grade B Syllabus 2025 PDF Free Download

The aspirants who are all are searching for RBI Grade B new Syllabus pdf 2025 download can get them here. RBI Grade B Syllabus is elaborately explained below. It helps the aspirants to concentrate on the subject and secure more marks in the exam. For all phases, aspirants can check the RBI Grade B new syllabus 2025 PDF free download here.

Free Download RBI Grade B Syllabus 2025 PDF

RBI Grade B Phase 1 Syllabus 2025 PDF (DR) General - Quantitative Aptitude

The aspirants can check here the RBI Grade B phase 1 syllabus for Quantitative aptitude.

RBI Grade B Prelims Syllabus 2025 PDF (DR) General - English Language

The English section of RBI Grade B Syllabus pdf free download is given below. 

RBI Grade B Phase 1 Syllabus 2025 PDF (DR) General - Reasoning

The Reasoning section in RBI Grade B Syllabus pdf download 2025 is given below.

RBI Grade B Prelims Syllabus 2025 PDF (DR) General - General Awareness

The General Awareness section for RBI Grade B Syllabus is given below.

RBI Grade B Syllabus 2025 PDF (DR) General - Phase 2

The aspirants can check the RBI Grade B syllabus Phase 2 pdf 2025 provided below. The RBI Grade B Syllabus 2025 for DR - General phase 2 consists of three subjects. They are Economic & Social Issues, Finance, and Management.

RBI Grade B Syllabus 2025 PDF (DR) General - Phase 2 - Paper 1: Economic and Social Issues (ESI)

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 Cooperation; International Economic Issues

Social Structure in India– Multiculturalism – Demographic Trends – Urbanisation and Migration – Gender Issues – Social Justice.

RBI Grade B Syllabus 2025 PDF (DR) General - Phase 2 -  Paper 2: English Writing Skills

RBI Grade B Syllabus 2025 pdf free download for paper 2 on English shall be framed in a manner to assess the writing skills including expression and understanding of the topic.

RBI Grade B Syllabus 2025 PDF (DR) General - Phase 2 - Paper 3: Finance and Management

Financial System

The financial system section for the RBI Grade B Syllabus 2025 pdf for paper 3 is given below. Study the topics given below.

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

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

General Topics

The general topics section for the RBI Grade B Syllabus pdf 2025 download for paper 3 is given below. Study the topics given below.

• 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

• 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.

• 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.)

Management

The management section for RBI Grade B Syllabus pdf download 2025 for paper 3 is given below. Prepare the topics given below.

Fundamentals of Management & Organizational Behaviour - 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, Vroom's 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: Concept, 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 - 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 and 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 Programme, 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 non-verbal Communication; upward, downward and lateral communication; Barriers to Communication, Role of Information Technology.

The best books for RBI Grade B Phase 2 are here. By preparing with these books the aspirants can score more marks in the examination. The aspirants thoroughly check the RBI Grade B Syllabus pdf free download and follow the books suggested here.

RBI Grade B Syllabus 2025 (DR) - DEPR

The candidates can check here the RBI Grade B Syllabus 2025 for (DR)-DPER.

RBI Grade B Syllabus 2025 (DR) - DEPR - 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)

RBI Grade B Syllabus 2025 (DR) - DEPR - Phase I - Paper 2 - Descriptive Type (English)

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 2025 (DR) - DEPR - Phase 2 - Paper 1 - Descriptive Type (on Economics) (Question paper displayed on computer, answers to be written on paper)

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

(Equal weightage will be given to Microeconomic and Macroeconomic modules)

RBI Grade B Syllabus 2025 (DR) - DEPR - Phase 2 - Paper 2 - Descriptive Type (on Economics) (Question paper displayed on computer, answers to be written on paper)

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

Sectoral and other developments in India: Agriculture, industry, services and social sector-related developments

(Equal weightage will be given to Quantitative Economics and Indian Economy-related modules)

RBI Grade B Syllabus 2025 (DR) - DSIM

The aspirants can check the RBI Grade B Syllabus 2025 pdf free download for (DR)-DSIM Post.

Paper-I & II: (i) Theory of Probability, Probability Distributions and Sampling Theory, (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) Optimization and Statistical Computing; (viii) Data Science, Artificial Intelligence and Machine Learning Techniques, (ix) Database and Data Warehouse Management

1. Theory of Probability, Probability Distributions and Sampling Theory:

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.

Standard sampling methods such as 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

2. Linear Models and Economic Statistics

Linear algebra - Vector, matrices, spanning of vector space, matrix algebra, inverse of partitioned matrices, g-inverse, orthogonal matrices, properties of idempotent matrices, characteristic roots and vectors, Cayley-Hamilton theorem, quadratic forms, definite, semidefinite and indefinite forms, simultaneous reduction of two quadratic forms, properties of similar matrices.

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 shrinkage models (ridge regression, LASSO, Elastic Net) model selection criteria, residual diagnostics, categorical data analysis using dummy variables; Outlier detection and treatment.

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. Basics of macroeconomics and national accounts.

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), Rao-Blackwell 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.
• Distribution of order statistics, distribution fitting, kernel density estimation.

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; BoxJenkins 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. Optimization and Statistical Computing

Unconstrained optimization using calculus (Taylor‘s theorem, convex functions, coercive functions). Unconstrained optimization via iterative methods (Newton‘s method, Gradient/ conjugate gradient-based methods, Quasi Newton methods). Constrained optimization (Penalty methods, Lagrange multipliers). Convex sets, Convex hull, Formulation of a Linear Programming Problem, Theorems dealing with vertices of feasible regions and optimality, Graphical solution, Simplex method.

Simulation techniques for various probability models, and resampling methods jack-knife, bootstrap and crossvalidation; techniques for robust linear regression, nonlinear and generalized linear regression problem, treestructured 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. Linear Regression, Logistic Regression, Penalized Regression, Naïve Bayes, Nearest Neighbor, 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. Hierarchical and non-hierarchical methods: k-means, kmedoids 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. Recursive Feature Elimination (RFE), Variance Inflation Factor (VIF), ensembling and stacking methods, Elastic Net regularization, hyperparameter tuning via Grid Search, feature importance interpretation, and cross-validation strategies. 

9. Database and Data Warehouse Management

Data structures; Fundamentals of Relational Database Management Systems (RDBMS) and non-traditional (NoSQL) databases. Principles of database normalization, data redundancy elimination, and consistency maintenance. Structured Query Language (SQL) – querying, updating, aggregating, and managing relational data. Database joins – inner join, left join, right join, outer join – with applications to data merging and integration. Overview of NoSQL databases – document-based, key-value, wide-column stores, and graph databases. Data warehousing concepts, star and snowflake schemas, ETL (Extract, Transform, Load) processes, and OLAP vs OLTP. Database indexing and optimization. Basics of big data frameworks and storage systems for large-scale data handling.

Paper-III: English: The paper on English shall be framed in a manner to assess the writing skills including expression and understanding of the topic.

FAQs

Q. How to download RBI Grade B new Syllabus 2025 pdf?

The aspirants can check this page to get new RBI Grade B Syllabus 2025 pdf free download.

Q. Where can I find the detailed RBI Grade B exam pattern 2025?

You can check the latest RBI Grade B exam pattern above for both phase 1 and phase 2 examinations.