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Bank of Maharashtra SO Syllabus 2026, Exam Pattern, Exam Date 2026
Detail Information about Bank of Maharashtra has published notification 2026 for the recruitment of Specialist Officers (Senior Manager – Risk Analytics & Risk Management Scale-III) vacancies. Those Candidates who are Interested to the following vacancy and completed all Eligibility Criteria can read the Notification & Apply Online. In this page we provide the Complete Syllabus of this Recruitment with Latest Update Exam Pattern and the Exam Date also.
Bank of Maharashtra SO Syllabus 2026 - Overview
| Name Of Organisation | Bank of Maharashtra (BOM) |
| Post Name | Specialist Officers (Senior Manager – Risk Analytics & Risk Management Scale-III) |
| Vacancies | 30 |
| Application Mode | Online |
| Application Start Date | 29th January 2025 |
| Application End Date | 17th February 2025 |
| Exam Date | Notified Soon |
| Job Location | Maharashtra |
| Official Website | www.bankofmaharashtra.in |
Bank of Maharashtra SO (Senior Manager) Syllabus 2026 :
English Language :
1. Reading Comprehension
2. Fill in the Blanks
3. Para Jumbles
4. Error Detection
5. Cloze Test
6. Sentence Improvement
7. Sentence Correction
8. Para/Sentence Completion
Reasoning Ability :
1. Puzzles
2. Inequalities
3. Syllogism
4. Input-Output
5. Seating Arrangements
6. Blood Relations
7. Order and Ranking
8. Distance and Direction
9. Data Sufficiency
10. Verbal Reasoning
11. Alphanumeric Series
Quantitative Aptitude :
1. Number Series
2. Simplification
3. Approximation
4. Quadratic Equation
5. Probability
6. Simple Interest
7. Compound Interest
8. Average Profit and Loss
9. Ratio and Proportion Work
10. Data Interpretation
11. Data Sufficiency
12. Mensuration
13. Time and Energy
14. Time and Distance
Professional Knowledge :
Senior Manager – Risk Analytics & Risk Management
I. Core Risk Management Principles:
Foundations of Risk Management: Risk identification, assessment (qualitative and quantitative), response (avoid, mitigate, transfer, accept), and monitoring. Understanding of risk appetite, tolerance, and limits. Enterprise Risk Management (ERM) frameworks (e.g., COSO ERM).
Types of Risks: Credit Risk, Market Risk, Operational Risk, Liquidity Risk, Regulatory/Compliance Risk, Strategic Risk, Reputational Risk, Cyber Risk. Interconnectedness of risks.
Risk Governance: Roles and responsibilities in risk management (Board, Senior Management, Risk Management function). Three Lines of Defense model. Risk reporting and communication.
Regulatory Environment: Basel Accords (Basel I, II, III), Indian banking regulations related to risk management (RBI guidelines), Impact of regulations on bank's risk profile. Knowledge of expected loss and capital adequacy framework.
Risk Culture: Importance of a strong risk culture. Factors influencing risk-taking behavior. Promoting ethical conduct in risk management.
II. Quantitative Risk Analysis:
Statistical Foundations: Descriptive statistics, probability distributions (normal, binomial, Poisson, etc.), hypothesis testing, confidence intervals, correlation and regression analysis. Time series analysis.
Data Analysis and Visualization: Data collection, cleaning, and preprocessing techniques. Data visualization tools and techniques (e.g., charts, graphs). Exploratory Data Analysis (EDA).
Predictive Modeling: Linear and logistic regression, decision trees, random forests, support vector machines. Model development, validation, and performance evaluation (e.g., AUC, ROC curve, Gini coefficient). Overfitting and underfitting.
Stress Testing and Scenario Analysis: Designing stress test scenarios (macroeconomic, idiosyncratic). Impact assessment of adverse events on bank's capital and profitability. Reverse stress testing.
Credit Risk Measurement: Probability of Default (PD) estimation, Loss Given Default (LGD) estimation, Exposure at Default (EAD) calculation. Credit scoring models. Portfolio credit risk management. Expected Loss calculation.
Market Risk Measurement: Value-at-Risk (VaR) calculation (historical simulation, Monte Carlo simulation). Stress VaR. Backtesting. Market risk factors and sensitivities.
Operational Risk Measurement: Loss data collection and analysis. Frequency and severity modeling. Capital allocation for operational risk. Scenario analysis for operational risk.
III. Data Science and Analytics Tools:
Programming Languages: Python (with libraries like Pandas, NumPy, Scikit-learn, Statsmodels), R. Data manipulation, statistical analysis, and machine learning in these languages.
Data Visualization Tools: Tableau, Power BI, or similar tools. Creating interactive dashboards and reports.
Database Management: SQL for querying and manipulating data. Understanding of relational databases. Knowledge of NoSQL databases is a plus.
Machine Learning Techniques: Supervised learning (regression, classification), unsupervised learning (clustering, dimensionality reduction). Model selection and hyperparameter tuning.
Statistical Software: SAS, SPSS, or similar software. (While desirable, proficiency in multiple tools is more valuable)
IV. Banking and Financial Markets:
Banking Operations: Understanding of various banking products and services (loans, deposits, etc.). Payment systems. Regulatory reporting.
Financial Markets: Money markets, capital markets, foreign exchange markets. Financial instruments (bonds, equities, derivatives). Understanding of market dynamics.
Financial Statement Analysis: Analyzing bank's financial statements (balance sheet, income statement, cash flow statement). Key financial ratios and their interpretation.
Capital Management: Capital adequacy requirements. Capital planning and optimization.
V. Specific Topics:
Predictive Modeling in Banking: Applications of predictive modeling in credit risk, fraud detection, customer churn prediction, etc.
Operational Risk Management in Banks: Specific challenges and best practices in operational risk management in the banking sector.
Market Risk Management in Banks: Managing market risk for different asset classes. Regulatory requirements for market risk.
Fraud Risk Management: Fraud detection techniques and prevention strategies.
IT Risk Management: Cybersecurity risks in banking. IT governance and control frameworks.
Bank of Maharashtra SO (Senior Manager) Exam Pattern 2026
Senior Manager – Risk Analytics & Risk Management
Duration : 120 Minutes
| S.No. | Subject | No. of Question | Marks |
| 1. | English Language | 20 | 20 |
| 2. | Reasoning Ability | 20 | 20 |
| 3. | Quantitative Aptitude | 20 | 20 |
| 4. | Professional Knowledge | 90 | 90 |
| Total | 150 | 150 |
Bank of Maharashtra Exam Date 2026 : Notified Soon
Starting Date of Application Form : 29th January 2025
Last Date of Application Form : 17th February 2025
Total Post : 30
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Bank of Maharashtra SO (Senior Manager - Risk Analytics & Risk Management) Exam - English150 questions • 120 mins • 150 marks
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Bank of Maharashtra SO (Senior Manager - Risk Analytics & Risk Management) Exam - Hindi150 questions • 120 mins • 150 marks
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