📞 +91 123 456 7890✉️ info@tamilanjobs.com

Management Trainee 2026 - Syllabus

Export-Import Bank of India (Exim Bank)

Syllabus

EXIM Bank Management Trainee Digital Technology Syllabus

Subject

Topics

IT Infrastructure & Architecture

Understanding of overall Computer Architecture including data center and technology setup in banks/ financial institutions. Management of hardware, software, and network infrastructure.

Operating Systems

Understanding of different operating systems (Windows, Linux, macOS/iOS, Android etc.) and their functionalities.

Data Structures and Algorithms

Arrays, linked lists, stacks, queues, trees, graphs, sorting, and searching algorithms.

Database Management Systems (DBMS)

Understanding of Oracle/SQL databases & concepts including query writing, procedure, cursor, package & triggers.

Computer Networks

Networking fundamentals, TCP/IP model, IP addressing, and network protocols.

Cryptography

Encryption, decryption, hashing, and security protocols.

Programming Languages

C/C++, Java, Python, and other relevant languages.

Object-Oriented Programming (OOP)

Concepts like classes, inheritance, polymorphism, and abstraction.

Software Development Life Cycle (SDLC)

Understanding of SDLC including Waterfall, Agile, and other methodologies.

Version Control and Dev-Sec-Ops

Git and other tools for collaborative software development including devops/ micro services/ build and test automation/ dynamic and static security analysis.

Network Security

Basic understanding about network protocols including Firewalls, intrusion detection and prevention systems, and VPNs.

Data Security

Encryption, access control, and data protection.

Security Threats and Vulnerabilities

Understanding common attacks and prevention measures, OWASP Top 10.

Project Management

Planning, execution, risk-management and monitoring of IT projects.

Problem-Solving and Analytical Skills

Identification, communication and resolution technical of issues.

Cloud Computing

Understanding cloud services technologies and deployment models.

Data Science

Concepts and tools used in data science including AI/ ML and Gen AI

Business Intelligence (BI)

Tools and techniques for data visualization and reporting.