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Careers

Discover Career Opportunities

Financial Risk Analysis Concentration

The concentration in Financial Risk Analysis prepares graduates for positions of financial risk analysts in major banks, hedge funds, insurance firms and other financial services institutions. Graduates can also be employed as data analysts and data scientists to investigate problems with large and complex data in retail and commercial banking, fraud detection, insurance, and market analytics.

Big Data Concentration

Students with the concentration in Big Data are well-prepared to become data scientists, data programmers, data solutions architects, and chief data officers capable of offering insights that influence strategic decision-making.

Sample Career Options

Note: Additional training and education may be required.

  • big data architect
  • big data developer
  • business data analyst
  • catastrophe risk analyst
  • cryptanalyst
  • data analytics consultant
  • data engineer
  • data integrity associate
  • data programmer
  • data project manager
  • data scientist
  • data solutions architect
  • data systems analyst
  • equity data analyst
  • industry analyst
  • market research analyst
  • operational risk consultant
  • pension and benefits analyst
  • procurement analyst
  • research coordinator
  • venture capital associate

Sample Industries / Types of Employers

  • banks/financial institutions
  • data management companies
  • government
  • insurance companies
  • manufacturers
  • opinion researchers
  • research institutions
  • technology companies

Develop Your Knowledge and Skills

Employers identify these competencies as very important when recruiting entry-level candidates. As a Laurier student, you gain these skills through the opportunities available to you.

Functional Knowledge

  • Develop a rigorous theoretical understanding of important techniques in statistical data analysis.
  • Develop the practical skills necessary to implement data analysis, data mining and visualization techniques using technology.
  • Become familiar with current data science technologies.
  • Build up an understanding of business practices and the economic environment.
  • Discover how information is sourced, valued and used in creating new knowledge.

Collaboration/Teamwork 

  • Work effectively as part of a team by identifying your role and contributing, leading, teaching, motivating and/or encouraging others for team success.
  • Oversee, lead and/or contribute to a project including determining goals, planning details, making decisions and completing tasks.
  • Demonstrate professional behaviour and an understanding of individual perspectives and diversity.

Communication 

  • Explain information, ideas and opinions effectively, both verbally and in writing.
  • Probe for information by asking questions and listening, and engage in constructive conversations.
  • Prepare interesting and informative reports and presentations for diverse audiences using current technology.

Problem Solving 

  • Identify and access a wide range of relevant information and resources.
  • Learn, understand and critically interpret information and apply knowledge to new situations.
  • Set priorities, meet deadlines and manage time, data and resources.
  • Make well-reasoned decisions, think creatively, identify and consider all sides of an issue.
  • Analyze and evaluate data to discuss, support and/or question ideas, opinions, reports, theories and proposals.