Python in Finance is a unique, easy-to-follow course which requires no prior programming knowledge or experience. Designed to meet the enormous rise in demand for individuals with knowledge of Python in the financial industry, students are taught the practical coding skills now required in many roles.
The material contains multiple examples of practical applications in finance with a focus on quantitative risk/pricing analytics (taught in the Market Risk (Finance) course), giving you an opportunity for valuable practical experience. The course contents provide you with the must-have coding skills needed to excel in the modern finance sector. The course material has been developed in partnership with industry veteran and renowned practitioner, Dr Simon Clift.
After this course, candidates will possess the knowledge to write their own code from scratch in the Python programming language to, for example price options with the Black Scholes model, derive greeks, perform Monte Carlo simulation, generate an implied vol surface and many more (see course curriculum for additional details).
The Python programs developed by the student during the training program, and for the project completed at the end of the cohort (in the full program only) become an important part of the student’s portfolio. The portfolio is a valuable addition to a student’s CV/resume, and is a real asset that is evidence of the student’s practical experience and knowledge. This is particularly useful during a job search to set the student apart from other applicants.
The Python in Finance course is not offered on a standalone basis. It is included in our Certificate in Finance Business Analysis (FinBA), and Coding (Python, SQL) in Finance Certificate training programs.
You will learn how to use the following and more, to write Python code for financial applications.
- Jupyter Notebook
- Pandas (for data analysis)
- NumPy, and SciPy (for quantitative computing)
- Matplotlib (for data visualisation)
We will cover:
1 – Basics
Jupyter Notebook Introduction
Operators (arithmetic, comparison, Boolean)
2 – Data Structures
Indexing and Slicing
3 – Language Structures
- While Loop
4 – Advanced Python Features
5 – Pandas for Data Analysis
Indexing, and Slicing Data
Date Columns, and Arithmetic
Handling Missing Values
Dataframe Arithmetic Operations
6 – Visualisation Using Matplotlib
- 3D Plotting
7 – Basic Financial Calculations with Pandas
Forward Filling, Backward Filling
Linear Interpolation Using Specific Index
8 – Financial Computing with NumPy, and SciPy
- Array Operations
Indexing, and Slicing
Black Scholes Option Pricer
Monte Carlo Pricing (Pure Python)
Monte Carlo Pricing (NumPy)
Sensitivities (Greeks) Computation
Vectorised Black Scholes Option Pricer
Implied Volatility Surface Generation
Value at Risk (VaR) estimation
All students are to work on the following Python projects:
Residual Risk Add On capital
PnL Attribution Test (PLAT) – Spearman correlation, and Kolmogorov-Smirnov test
- Scenario Generation
Sensitivities Based Method sensitivities
Risk Factor Eligibility Test
- Value at Risk
- Expected Shortfall
Vanilla option pricing
- Exotic option pricing
- Back testing
- Volatility surface construction
- Monte Carlo stock price simulation (geometric brownian motion)
Final Python Project:
At the end of the cohort, students will build Python programs with financial applications, using the skills acquired during the course.
Note – The Python version used in the course is 3.6.3. (Note – you are required to install any 3.x version of Python (not necessarily 3.6) for the course)
The following software must be installed on your computer for this course:
Notepad++ or a similar text editor for .py files
(Get both Jupyter Notebook and Python together (free of charge) at: anaconda.com/download)
Note: This course is taught in a Windows environment. The course is designed for specialised professionals in finance. It is not intended for IT specialists, computer scientists, or professional developers in finance. Software installation/application support not provided by the program. Students are advised to contact the vendors or search online for information.
Our Alumni Get Great Jobs
Graduates of our training programs secure employment with some of the most prestigious financial employers in locations across the globe. Many financial institutions sponsor their employees. More...
Go from Job Search to Job Success
We provide access to a wide variety of career services and support to help you secure your next role after successfully completing the program.
CV/resume help (FinBA program only)
You will be assigned a dedicated professional investment banking recruiter, specialising in Risk & Quant Finance, who will work 1-1 with you to tailor your existing CV/resume.
Leverage our network (FinBA program only)
We foster personal introductions to our network of potential hiring managers and recruiters, to help our students based in London, Toronto, NY/Boston/Chicago/Dallas, and Sydney/Melbourne get connected to the right people.
Job search support
You will receive invaluable guidance on how to navigate the complex recruitment landscape and conduct a smart search for your first or next role in investment banking.
You will be provided a comprehensive set of common interview questions and framework for how to answer them. In addition, we will train you on the mindset and approach needed to ace interviews at any investment bank.
Our Taught Courses
“Your Python training materials are easy for anyone to follow even if you have zero programming experience. You are very good at explaining things in a simple manner.”
“The material you are covering is excellent and very relevant for those wanting to work in finance.”
“The CV/resume building and interview preparation tips I received were instrumental. I was offered a new job at TD Bank within weeks of completing the program.”
“The practical approach of the course will help anyone just starting out in investment banking or looking to transition.”
“I truly recommend the program. I secured a new role in Traded Risk shortly after completing the Coding (Python, SQL) in Finance Certificate program.”
“The program is provided in a practical context which helps to immediately ready anyone successful in completing the course for employment in investment banking.”
“I had no prior knowledge of finance. This hands-on program encouraged me to apply for BA roles in IBs, and it gave me a real confidence boost in job interviews. I now work as a Senior Business Analyst.”
“I started applying my new Python skills at work while still in the program. The project-based work helped build my confidence at writing code to solve problems.”
“The competitively priced FinBA program is a highly relevant, practical augmentation to any mathematical finance program. Consider it a must-have.”
“I cannot fully express how great Ola is and the overall content of the training program. Whoever wants to gain practical derivatives, SQL, and Python coding experience this is the right program for you.”
“The program is a crisp recipe for anyone interested in launching a career into FO/Risk Management. The course content is recent, relevant, practical and hands-on.”
“The online recordings and the live teaching sessions were amazing. The course material was really good and in a nutshell. Ola did a great job.”
“Ola was very generous in connecting me with those in his network, which has helped me start my career in a technical data role. I would highly recommend the program to anyone interested in pursuing a career in financial services.”
“This is a great course providing the essentials of market risk & coding in investment banking in a clear manner. It also includes guest speakers covering career progression and new developments in the financial world. It's given me the knowledge I needed to advance my career.”
“Participants of this program will benefit from Ola's wealth of knowledge. They are sure to acquire the hands-on skillset required to excel in the industry.”
“Knowing Ola Alawiye as a seasoned professional, I am confident this sound program will produce the kind of professionals required in solution delivery teams at banks.”
“There is certainly a need in the market - from our investment banking clients - for professionals with the specialised skillset that this program offers.”