Banking Exam Quantitative Aptitude Mock Tests

Banking Quant is built around calculation speed and data interpretation. The mathematics is school-level, but the volume and time limit are not.

How banking Quant differs

Compared with other exams, banking papers lean heavily on simplification, approximation, number series and data interpretation sets that you must read, extract from and compute quickly. Many of these questions can be answered by estimating, so building a feel for approximate arithmetic is one of the most useful skills.

Topic priorities

  • Simplification and approximation for quick marks
  • Data interpretation in tables, bar charts and line graphs
  • Number series and quadratic-equation comparisons
  • Arithmetic word problems on interest, ratio, time and work

Practise in sets

Practise with sectional timers, because pacing is the crux. After each test, split your time between easy, medium and long questions and see whether DI sets are consuming more minutes than they earn. A table of speeds and target accuracy for each topic gives you a measurable goal. See the broader plan in the banking exam preparation strategy.

Also see Reasoning, English and General Awareness for banking.

More Banking preparation guides

Institutes publishing Banking tests

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Disclaimer: This is an independent practice/mock test created for exam preparation. TestMint is not affiliated with, endorsed by, sponsored by, or associated with the official examination authority or government organization conducting the examination. This test is intended solely for educational and practice purposes. Exam pattern, syllabus, dates and other examination information may change. Candidates should refer to the official examination authority for the latest information.

Practice material on this page is independent of the Banking conducting authority.

Frequently asked questions

Memorise squares, cubes and common fractions, practise approximation, and use timed sets to bring each question down to a target time.

It is usually a substantial part of the quantitative section, so a working method for tables and charts is well worth building.