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Banking Analytics

Banking Analytics

Free Practice Test

FREE
  • No. of Questions50
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice
  • TypeExam Format

Practice Exam

$7.99
  • No. of Questions118
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice, Exam
  • Last UpdatedAugust 2025

Online Course

-
  • Content TypeVideo
  • DeliveryOnline
  • AccessImmediate
  • Access DurationLife Long Access
  • No of videos-
  • No of hours-
Not Available

Banking Analytics


This exam equips professionals with essential skills to harness data and analytics for smarter banking decisions. From financial analysis and risk management to customer insights and fraud detection, this certification bridges the gap between data science and banking operations.


Skills Required

  • Strong analytical and critical thinking skills
  • Knowledge of banking operations and financial metrics
  • Experience with data tools like Excel, SQL, Python, or R
  • Familiarity with BI platforms such as Power BI or Tableau
  • Understanding of risk modeling, customer segmentation, and KPIs


Who should take the Exam?

    This exam is ideal for:

    • Banking and finance professionals interested in analytics
    • Data analysts and data scientists working in financial institutions
    • IT and BI professionals transitioning to banking analytics roles
    • Bank managers and product heads looking to leverage data insights
    • Students and graduates specializing in finance, analytics, or data science


    Course Outline

    • Fundamentals of Banking Analytics
    • Data Tools and Technologies
    • Financial and Credit Analytics
    • Customer and Marketing Analytics
    • Fraud and Risk Analytics
    • Regulatory and Ethical Considerations

    Banking Analytics FAQs

    Professionals in banking, data analytics, or finance who want to apply data insights to drive strategic decisions.

    Roles include Banking Analyst, Risk Analyst, Data Scientist (Banking), BI Analyst, and Financial Planner.

    Data interpretation, business intelligence, financial analysis, customer segmentation, and risk analytics.

    Yes, foundational concepts are covered, making it accessible to those new to analytics or banking.

    Absolutely. Banks rely heavily on data to improve services, reduce fraud, and meet regulatory demands.

    You can consult on financial analytics, build dashboards for clients, or provide data reporting services to banks and fintechs.

    Yes, especially for professionals from finance, IT, or data roles looking to enter the financial analytics space.

    A comprehensive view of how data is used across banking operations, risk management, and customer engagement.

    Yes, banking analytics is globally in demand across traditional banks, digital banks, and fintech companies.

    Enhances decision-making with data, improves operational efficiency, and boosts customer service through insights.

     

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