FinTech Boot Camp

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In Person: The Dubois Center
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Program

The field of finance is evolving. Financial services firms, insurance agencies, and investment banks are increasingly at the intersection of data and technology, harnessing programming, machine learning, big data, and blockchain to conduct business. This 24-week FinTech Boot Camp is a challenging, part-time program that teaches you how to automate and improve financial services using cutting-edge technology. Throughout the program, you will gain experience with a host of popular tools and methods such as Python programming, financial libraries, machine learning algorithms, Solidity smart contracts, Ethereum, and blockchain. You will learn how these concepts are leveraged within financial fields from insurance to investment banking, as well as best practices for using these skills to add value to your organization.

What Participants Will Learn
  • Apply modern financial technologies within the context of working at an investment bank, insurance agency, or any player in the financial industry
  • Employ financial analysis techniques to model, predict and forecast trends
  • Model future financial performance of a company using Python and financial fundamentals
  • Make API requests to pull financial data, and use a variety of Python packages to run financial analysis on large datasets
  • Conduct time-series analysis in conjunction with assumptions and variances to develop financial forecasts, and analyze forecasts for accuracy
  • Create a custom API with mock bank data and configure the API to allow incoming interactions
  • Learn to work with databases on the AWS cloud in the service of financial applications
  • Understand both uses and disadvantages of a variety of machine learning algorithms and their proper application within the field of finance
  • Leverage machine learning to determine lending preferences and how effectively a cluster of customers would produce interest
  • Analyze market behavior using machine learning on historical datasets
  • Determine optimal predictors for market strategy and evaluate models for accuracy