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Python for Finance and Risk

Date 25/01/25
Time 10:00AM to 11:20AM
Venue Lifelong Learning Institute, Level 4, R7 Skydome
Admission Fee Free
In Partnership with SG Code Campus

Register

Career Discovery Series

Unveil the potential of Python in the financial industry in this highly specialised workshop! This session is designed for finance professionals, analysts, and risk managers who aim to harness the computational power of Python for financial analysis, modelling, and computational risk management. Led by financial risk experts, affiliate faculty teaching Python at SMU Academy and Authorised Instructors from Amazon Web Services (AWS), this workshop combines the technical with the tactical for real-world application.

Empower your financial expertise with the leading tool in programming and analytics!

What you will learn:

  • Financial Analysis with Python: Learn how to use Python for data analysis, financial modeling, and quantitative finance.
  • Risk Management Strategies: Understand the use of Python in identifying, analyzing, and mitigating risk.
  • Python Libraries for Finance: Get hands-on experience with powerful Python libraries such as pandas, NumPy, scikit-learn.
  • Automating Financial Processes: Explore how Python can automate tasks, including financial analysis, risk reporting, and ensuring financial data integrity.
  • Data Visualisation and Interpretation: discover how to present financial data through Python's visualisation tools.
  • SkillsFuture Career Advancement Opportunities: Explore SkillsFuture funded up-skilling pathways and career transition programs specific to Python offered by SMU Academy

All necessary equipment, including laptop computers, will be provided for an immersive learning experience.

This workshop is ideal for those in the financial sector looking to up-skill and for those interested in the intersection of finance and technology. No prior Python experience is required - just a willingness to learn and a passion for finance.

Transform your career with the power of Python. Join us for a day that could redefine your approach to finance and risk management.