Applied Finance Trainee

How to evaluate portfolios, mitigate risk exposure, and use the Monte Carlo simulation to model probability. Next, you’ll learn how to rebalance a portfolio using neural networks. Through interactive coding exercises, you’ll use powerful libraries, including SciPy, statsmodels, scikit-learn, TensorFlow, Keras, and XGBoost, to examine and manage risk. You’ll then apply what you’ve learned to answer questions commonly faced by financial firms, such as whether or not to approve a loan or a credit card request, using machine learning and financial techniques. Along the way, you’ll also create GARCH models and get hands-on with real datasets that feature Microsoft stocks, historical foreign exchange rates, and cryptocurrency data.

Applied Finance Trainee Responsibilities:

  • Week 1 & 2: Series of Training Modules (Training Period)
  • Week 3 : Project Assigned
  • Week 4: Project Report to be submitted

Applied Finance Trainee Requirements:

  • Bachelor’s degree holder or pursuing.
  • Proficiency with computers, especially MS Office.
  • High level of accountability and motivation.
  • Strong Interpersonal, time and project management, presentation, leadership, and communication skills.
  • Creativity and ability to delegate responsibilities.
  • Receptiveness to feedback and adaptability.
  • Willingness to meet deadlines.

Job Category: Finance
Job Type: Internship
Job Location: Remote

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