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Python Programming for Finance

Build your career in Quants

Quick Facts

  • Program Duration
  • Program Schedule
  • Program Timing
  • Program Start Date

Program Highlights

  • Highly qualified industry practitioner faculty
  • Advanced Curriculum
  • Thoroughly hands-on training in programming algorithmic trading strategies in Python
  • Training on industry leading algorithmic trading platforms
  • Training in Simulation Lab
  • Live Trading experience in real market

About the Course

Python is one of the most rapidly growing programming language and has become extremely popular with both professional programmers as well as other professionals who don't have prior programming knowledge but want to learn programming for use in their work. Python has a very rich set of libraries and that is rapidly growing. It being an easy to learn language and with the large number of library functions available withing it makes it very easy for people to get their work done with minimal programming effort. Lots of functionalities which are generally beyond the reach and abilities of many professionals coding it other languages are easily accessible in Python. So many complex problems in finance related areas can be easily solved using Python, which would otherwise require considerable amount of programming in other languages like VBA or C++. There is hardly any specialized course that teaches Python programming from basics with exclusive focus on writing programs for financial applications. This is why we have designed this course tailor-made for imparting these skills. This course is designed for people who do not have any kind of prior programming background and want to learn programming for developing applications related to finance.

The courses starts with learning the basic programming concepts in general and then learning programming using Python with specific focus on programming for high-end investment banking financial applications so that the candidates can relate their learning with their work.

You also learn actual financial modelling and implementations in Python for doing Monte Carlo Simulation and for pricing Equity Options.


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Who Should Attend

Participants will learn to :

  • Financial Analysts
  • Research Analysts
  • Risk Analysts
  • Credit Analysts
  • Investment Managers
  • Finance Controllers
  • Subject Matter Experts
  • Managers from corporates
  • Management students

What You Study

Participants will learn to :

  • Write Python programs to automate complex data manipulation tasks
  • Write Python programs for implementing advanced investment finance related applications
  • Learn Implementations of Monte Carlo Simulation and for pricing Equity Options in Python.

Why choose this course?

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What our learners have to say...

Admission Process

  • Send Your Application

  • Get on a call with a counsellor

  • Wait for Application Acceptance

  • Pay the fee & join the upcoming batch

Finance your Study

Educational Loans

We are very happy to help you progress to greater heights in your career in every way possible. Education loans availble at 0% interest for full time Indian residents. Easy EMI plans available.

Student Aid

Encourages the full time students to enter this domain, benefits, if you are still pursuing formal education.

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Get Answers

  • What are the prerequisites for this program?

    To be honest, this course practically has no prerequisites as such. This course is designed for people who do not have any kind of prior programming background and want to learn programming for developing applications related to finance. The aim of this program is to teach python in an easy, lucid and structured way so that people coming from even no-technical or non-programming background can learn and use the python language. Proficiency in spoken and written English. Basic knowledge of Statistics. Working knowledge of Excel Computer and an internet connection. We teach in Windows based platform. Mac users will need to Install Windows in Parallels Desktop for Mac.

  • Is the program suitable for non-programmers?

    There is no denying the fact that if someone has a prior programming background then they will have an advantage. However, this course has been designed to teach python in an easy, lucid and structured way so that people coming from non-technical or non-programming background can learn and use the python language. So, not having a programming background is not a problem as long as one is willing to put-in the required serious and sincere effort and has a zeal to learn.

  • Who should attend?

    Anyone having an interest of learning the Python language, particularly those who wish to learn python and its use in finance. So, this program should be done by Fresh Graduates, Management Students, Finance Professionals, IT Professionals, Research Analysts, Business Analysts, Data Scientists, Financial Market Traders, Subject Matter Experts.

  • How is the course delivered?

    This program is conducted in both synchronous and a synchronous mode. So, participants can either opt for cohorts having live interactive lecture sessions on weekends or can attend as a pre-recorded online lecture-based module as well.

  • What is covered in the course?

    There is a specialized course that teaches Python programming from basics with exclusive focus on writing programs for financial applications.

    It starts from teaching installing Anaconda, then covers the relevant IDE’s, Jupyter notebook, Learning the Syntax, the Operators, Class and object-oriented programming with Python.

    Also covers Monte Carlo Simulation in Python and Implementing Equity Options Pricing in Python.

  • Who are the faculty?

    The course is taught by Top-notch Traders, Quant Practitioners and Industry Experts from International Banks and Hedge Funds. The faculty team consists of leading traders and domain experts with top class education background from IIT’s, IIM’s and Ph.D.'s from top institutes.

  • What is the post course support?

    We believe in imparting complete learning and we offer support even after the course gets over. You get whole-hearted support not only during the course but after the completion of the course as well. Our faculty team goes out of their way to extend all possible help to serious learners. You can email us with your doubts and queries and you will be connected to the appropriate faculty for solving your doubts and queries.

    Will certificate be awarded on completion of the program? What are the certification criteria?

    The participant becomes eligible to get the certificate on completion of a capstone project that is given at the end of the program, participants who attend and follow all the lectures should be able to complete the project. So, to get the certificate you will also have to complete and submit the project.

  • Is there any placement support?

    We have dedicated placement team who provides strong support to all successful participants for getting relevant jobs in International Banks, Hedge Funds and Trading Desks of other financial institutions.

    You may work as Quant Trader, Algo Trader, Consultant, Domain expert and lead Quant and Trading Teams of International Banks, top Hedge Funds, Proprietary Trading Desks, Fund Managers and or fortune 500 Financial Consulting Firms and Leading IT Companies.

  • What is the course calendar?

    You may join the pre-recorded lecture based module at any time during the year. The live-lecture based cohorts are offered 4 times in a year.

  • What mode of payments do you accept?

    We accept all online payment modes like Bank Transfer, Credit Card, Debit Card, UPI

  • Why you should attend this program?

    • Highly qualified industry practitioner faculty
    • Lucid and well-structured Curriculum
    • Thorough hands-on training in programming in Python. Learn to use the relevant libraries and platforms
    • Write Python programs to automate complex data manipulation tasks
    • Write Python programs for implementing advanced investment finance related applications
    • Learn to do Monte Carlo Simulation and Equity Option Pricing in Python

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