*These banks have used one or both of PyFi’s self-study courses to introduce their financiers to Python programming and its application in the world of finance.
The PyFi Guarantee
We offer a 100%, no questions asked, 30 day money-back guarantee to completely de-risk your investment. Enroll now, and if for any reason you aren't completely satisfied, send us an email and you'll get a full refund for up to one month after enrollment.
How does Python Fundamentals™ work?
Orientation
Get setup in your coding environment and start writing your first lines of code in under 30 minutes. Setup your environment and quickly understand how to command basic functions that you’ll build on throughout the course.
Build on your existing foundation with excel analogs
By relating lessons and techniques to concepts finance professionals are already familiar with, PyFi courses deliver higher retention rates and a more efficient learning process. Writing Python is very similar to building financial models in Excel. PyFi builds off this foundation.
Practical application
The Python programming language is an immense topic to cover. There are many things you can learn and even more ways you can apply Python which are not relevant to you as a finance professional. PyFi teaches you what you need to know to be effective in your work without needing to pursue a formal computer science degree.
Apply proven solutions to your work
Because Python is open source, you’re able to apply working libraries, or frameworks, to your work with simple commands. Imagine downloading sophisticated financial models you could simply plug your data into. That’s exactly what’s possible with the Python programming language and PyFi gets you started by plugging the NumPy and Pandas library directly into your financial analysis.
What Our Customers Are Saying:
"An incredible strength of Machine Learning Edge is the real world examples it brings into play. These are not some hypothetical applications of the material that are taken out of a textbook; these are real world, concrete, and ready for application in the student’s career. Every piece of information you are given is valuable and ready to be put to use."
Gage C.
Mathematics Undergraduate Student
"Machine Learning Edge is a fantastic introduction to machine learning applications of finance. It provides you with an excellent road map all the way from python basics to advanced machine learning algorithms. I constantly see new ways to apply what I have learned to projects in the workplace every day.
Will N.
Investment Banking Analyst
"If you are in the finance industry, or even a student aspiring to break in, Machine Learning Edge is absolutely essential. It is no secret that coding is the literacy of today, and MLE goes above and beyond in equipping you with the coding and machine learning knowledge increasingly demanded in the finance industry."
Ralph R.
Investment Banking Analyst
"Machine Learning Edge content is carefully curated to maximize retention and effectively bridges the gap between developed financial and data science skill-sets. Wall Street, meet Silicon Valley."
Jack V.
Debt Capital Markets Analyst
"I was very impressed with the course. As a buy-side investment professional, I can definitely see how this course could be used to not only make oneself more marketable, but to actually improve investment decisions and performance."
Brad B.
Private Equity Associate
"Machine Learning Edge is a rare find because it is tailored for busy finance professionals.As an analyst at a major investment bank, I was able to take several Python and Machine Learning techniques from this course and use them to improve relevant projects."
Terrence Z.
Investment Banking Analyst
Learn the same machine learning algorithms that were used to advise the following companies:
*Slight changes to the code made to protect IP
Completion Certificates
After completing each course and passing the certification exam, students will be granted a PyFi Certification for that specific course. Use these certificates as a signal to employers that you have the technical skills to immediately add value to your team.
Career Opportunities
JP Morgan in 2022 stated and decided that all incoming analysts and associates will learn Python.
Risk Management
Offering solutions to manage various types of financial risk, including interest rate risk, currency risk, and commodity price risk. This might involve structuring derivatives, swaps, and hedging strategies.
Asset Management
Python and ML can be used to analyze market data, optimize portfolio allocations, and enhance investment strategies. These technologies enable asset managers to identify trends and make data-driven investment decisions.
Financial Analysis and Modeling
Financial analysts leverage Python for data analysis and financial modeling. ML can be applied to predict financial outcomes, evaluate investment opportunities, and perform scenario analysis.
Regulatory Compliance
Compliance officers use Python and ML to monitor transactions, detect fraudulent activities, and ensure compliance with regulatory requirements. ML algorithms can automate the detection of anomalous behavior, reducing the risk of financial crime and regulatory penalties.
Research
Researchers in investment banking use Python and ML to analyze financial markets, economic trends, and company fundamentals. This analysis supports investment decisions and strategy development.
Sales and Trading
While distinct from algorithmic trading, sales and trading professionals can use Python and ML for predictive analytics to forecast market movements, analyze client behavior, and optimize trading strategies.
Wealth Management
Advisors can use ML to provide personalized investment advice and portfolio management services, analyzing clients' financial situations, preferences, and risk tolerance to tailor investment strategies.
Market Strategy and Operations
Professionals in this area can use Python and ML to analyze market conditions, optimize operational processes, and improve efficiency. This includes everything from streamlining back-office operations to forecasting market demand.
Meet Zach Washam
While learning Python as an investment banker, Zach made an interesting observation: Python programming had a lot in common with the Excel models he made at work. By thinking of Python like Excel, Zach quickly learned the coding language and invented Wells Fargo Securities' first machine learning algorithm for investment banking and capital markets.
After submitting two algorithms for patent protection and winning Wells Fargo's 2018 "Local Sphere Innovation Award," Zach left investment banking to launch PyFi.
Now, Zach’s courses have been delivered to thousands of finance students and professionals around the world.
*These banks have used one or both of PyFi’s self-study courses to introduce their financiers to Python programming and its application in the world of finance.
How Can We Help You?
What makes PyFi courses unique?
PyFi's Python training is custom-tailored for finance professionals, and we know that you are not starting from scratch - even if you have never coded before.
By building new Python skills on top of your existing Excel knowledge, you will learn to code more quickly and easily while also retaining more of what you learn.
Top financial institutions choose PyFi to train their finance professionals because no other program can beat our results.
How long does it take to complete a course?
Our courses are designed for busy finance professionals, so we aim to give you maximum results in the minimum amount of time.
Each of our courses take between 5-10 hours to complete. You can easily complete each course over a weekend or, working one hour a day for a few weeks.
How will learning Python help my finance career?
New technology is changing the finance industry. For you, this change is both an opportunity and a threat. If you learn to write Python code, you can stand out and get ahead in your career. If you don't learn Python now, you risk getting left behind.
Python's powerful analytical capabilities make many of Excel's functions obsolete, and open-source machine learning packages support predictive analysis that is simply not possible with legacy tools like Excel.In the hyper-competitive finance industry, Python and Machine Learning skills are quickly becoming a necessity.
What if I don't like the course?
PyFi offers a no questions asked, 30 day money-back guarantee. If you aren't completely satisfied with the course, send us an email and we will refund your money up to one month after you enroll.
How can we afford to do this? Because fewer than 1% of our customers ask for refunds. PyFi provides the best Python training on the market, and we know you are going to love it.
Have any questions? We’re ready to help!
