• MBA in Fintech
    Co-created with Jain University
    4.7 out of 5 by 3311 learners
    2x industry demand
  • Post Graduate Program in Business Management with NMIMS
    Co-created with NMIMS
    4.8 out of 5 by 6071 learners
    4x Industry Demand
  • Post Graduate Program in Banking and Credit Underwriting
    4.7 out of 5 by 1376 learners
    12 X industry demand
  • Post Graduate Program In Finance And Accounting
    Co-created with Grant Thornton
    4.9 out of 5 by 238 learners
    14 X industry demand
  • Professional Certification in FinTech
    Co-created with SP Jain School of Global Management
    4.8 out of 5 by 534 learners
    6X industry demand
  • Credit Risk and Underwriting Prodegree
    Co-created with Moody’s Analytics
    4.5 out of 5 by 526 learners
    4X industry demand
  • Banking And Wealth Management Bootcamp
    4.7 out of 5 by 460 learners
    3X industry demand
  • Post Graduate Program In Capital Markets
    4.7 out of 5 by 807 learners
    3X industry demand
  • Certified Investment Banking Operations Professional
    4.8 out of 5 by 7600 learners
    8X industry demand
  • Post Graduate In New Age Banking
    4.6 out of 5 by 1726 learners
    4X industry demand

 

HackerRank states the six best programming languages for finance and FinTech are Python, C#, C, C, Ruby, and Java in no particular order of being the best or most popular.

  1. Python
    This programming language is simple and its syntax minimalistic. Its applications lie in machine learning, data analysis, the FinTech sphere, software industries, building cryptocurrency markets, insurance, banking, and many more.

    The popular features of Python are
    • Scalability, consistency, simplicity.
    • Precise and fewer code lines.
    • Pythonic-standards applicability help to read, modify and maintain code with ease.
    • Powerful Django framework
    Despite benefits being many, the drawbacks are
    • No support for the web browser.
    • Design restrictions. Asynchronous capabilities limited by lock and single thread.

  2. Java
    Oracle’s Java favours bank programming technology because of its security and capacity for loaded programs handling large volumes of data.
    It is very popular in FinTech industries because of it
    • Powerful Security Manager.
    • Running runtime constraints
    • Support and portability to many OS
    The Java disadvantages are
    • Lower speed.
    • Lower productivity
    • Technology that consumes memory

  3. C Language
    C programs are used in Fintech industries where speed in execution is crucial. It is popular for programs requiring advanced levels of computation where numerous operations are processed quickly, in quantitative analytics, and in quantitative finance.

    C is advantageous for its
    • Code reusability
    • Speed and Efficiency.
    • Rich resource libraries.
    The drawbacks are
    • Complexity.
    • Code writing and insecurity.

  4. C#
    Microsoft’s C# has a syntax similar to Can the best of Java and C. It is used for 3D-Unity games, building .NET programs, mobile apps, and websites.

    Developers favour C# for its
    • Interoperability in Cross-languages.
    • C Enhancements.
    • Volumes of libraries.
    • Type safety. Uninitialized variables are not permitted making C# coding safe.
    Its limitations are
    • Low speed
    • .NET dependency

    Significant advantages:

    • Mid-level language
    • Maturity
    • High speed
    • Highly portable
    Some limitations are
    • The absence of reusable code.
    • Non-flexible in fixing bugs

    6.Ruby
    Ruby has the necessary characteristics and capabilities for rapid app development. Ruby combines features of Perl, Eifel, Ada, and Lisp besides others. It’s applications find use in the financial technology for fintech sector, e-wallets, digital payments, analytics, and Big Data, and financial dashboards, and asset management systems.
    Startups and developers favour Ruby because it affords them.

    • Time savings, efficiency, readily available plugins, third-party owned libraries and codeless apps for project development.
    • Ruby-on-Rails framework provides a bug-free secure code to build scalable apps.
    • Efficiency and cost saving

    The disadvantages are:
    Tool Documentation is hard to find.
    Boot speed decrease due to the many libraries.
    In conclusion, each language has its pros and cons. Ensure that your project and language are compatible. Your skills in these languages gained at fintech courses should be a good fit for a majority of the situations.
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Imarticus Learning is India’s leading professional education institute that offers training in Financial Services, Data Analytics & Technology. We’ve successfully transformed careers of over 35,000+ individuals globally through our Certification, Prodegree, and Post Graduate programs offered in association with leading and renowned global organisations in the Financial Services, Data Analytics & Technology domain.
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