Financial Analytics

SKILLS DEVELOPED

  • Understand the role of financial theory for the functioning of modern business and society
  • Have sufficient mathematical maturity to grasp the mathematical basis for financial models, and be able to work fluently in this language
  • Understand the limitations of financial theory and models, both as theoretical representations of economic reality in models, and in
  • approximate representations in computation and implementation
  • Be able to communicate results from financial models and analyses to both specialists and a broad spectrum of business and societal audiences
  • Express ideas and results professionally and efficiently
  • Have gained working knowledge of the dynamics of teamwork, and functional skills for collaboration in fast-paced environments
  • Have gained deep skill in application of scientific thought and decision-making processes, integrating financial theory and real-world evidence for educated and thoughtful decision-making
  • Have a firm grasp of the pitfalls and care needed for the measuring, gathering, organizing, cleaning, and analyzing of financial data through statistical means for solving real-world financial problems
  • Be able to select between, and work within, multiple software languages as appropriate for the wide range of financial models used in practice

SAMPLE JOB TITLES

  • Accountant
  • Analyst
  • Business Analyst
  • Client Manager
  • Commodity Broker
  • Consumer Loan Officer
  • Marketing Analyst
  • Economist
  • Financial Analyst
  • Insurance Broker
  • Investment Advisor
  • Senior Investment Advisor
  • Investment Associate
  • Investment Specialist
  • Investment Services Analyst
  • Market Researcher
  • Mortgage Specialist
  • Pension Administration Analyst
  • Portfolio Manager
  • Manager, Pensions
  • Risk Analyst
  • Financial Officer

 

Further Resources

Overview

This degree is specifically designed for students wishing to pursue a professional career in analytics, connected to the finance sector. This is actually a very broad field, ranging from actuarial science, insurance, banking, commodities, investments, and beyond, with the analytics skills being transferrable even further.  The curriculum draws from five supporting disciplines: applied mathematics, statistics, economics, business, and computing, with the last integrated throughout rather than being an explicit contributor through dedicated courses. Students’ understanding and growth will be stimulated by constant exposure to competing viewpoints and perspectives, with the same models being explored from statistical, mathematical, economic and business points-of-view

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Trent University respectfully acknowledges it is located on the treaty and traditional territory of the Mississauga Anishnaabeg. We offer our gratitude to First Peoples for their care for, and teachings about, our earth and our relations. May we honour those teachings.

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