Pro87 ProblemsSQL + Python

Banking SQL & Python Interview Questions

Financial institutions process millions of transactions daily, requiring SQL and Python expertise for fraud detection, credit risk, and regulatory compliance. These challenges reflect real data problems at JPMorgan Chase, Goldman Sachs, Bank of America, Capital One, Wells Fargo, Citibank, Morgan Stanley, Barclays, American Express, and more. Master transaction pattern analysis, fraud scoring, credit risk modeling, portfolio performance, and customer cohort retention.

Banking

87 total problems

SQL42

Python45

Practice SQL Practice Python

Companies working in Banking

These practice problems are modeled after the kind of data and analytics challenges teams in this industry typically face.

JPMorgan Chase

Goldman Sachs

Capital One

Bank of America

Citibank

Wells Fargo

Morgan Stanley

Barclays

Deutsche Bank

HSBC

American Express

Discover Financial

US Bancorp

PNC Financial

Synchrony

Ally Financial

Truist

Northern Trust

State Street

BlackRock

Company names and logos are trademarks of their respective owners, used here only to describe the kind of data these companies work with. Let's Data Science is not affiliated with, endorsed by, or sponsored by any company shown. Practice problems are original works and are not real interview questions from these companies. Rights & takedowns.

Difficulty Breakdown

87 problems

17 Easy(20%)

30 Medium(34%)

33 Hard(38%)

7 Expert(8%)

What You'll Practice

Transaction pattern analysisFraud detection metricsCredit risk scoringPortfolio performanceRegulatory reportingCustomer segmentationBalance sheet analyticsCohort retention

Topics Covered

21 topics

SQL · 9

aggregationbasic queries filteringcleaning transformdate timejoinsscenario sqlset operationssubqueries cteswindow functions

Python · 12

eda statisticsfeature engineeringpandas aggregationpandas applypandas basicspandas cleaningpandas datetimepandas filteringpandas mergingpandas reshapingpandas scenariopandas window

All Problems87 total

Open in editor

Ready to practice Banking?

87 SQL and Python challenges built from real banking data. Graded instantly in your browser — no setup required.

Start Practicing View Plans