• Quantitative Analyst Co-op (Winter 2019 Work-Term)

    Job Locations CA-ON-Toronto
    Posted Date 1 week ago(1 week ago)
    System ID
    Number of Positions
    Post End Date
    Job Category (EN)
  • Job Description (EN)

    Discover your opportunity today!



    The Market Risk Methodology and Analytics (MRMA) team is focused on the development of the analytic capability for risk management in terms of models, methodologies, computational infrastructure. The MRMA team develops analytic tools and risk engines to support risk measurement/reporting, and provides analytic consulting support to other business units and senior management. The MRMA team is part of the Market Risk group. The multi-disciplinary team provides an excellent opportunity for collaboration and innovation.


    In MRMA team, the Risk Analytic work is focused on financial engineering development of customized asset pricing models for derivative pricing, stochastic economic scenario generators, risk engines for market, credit and insurance risks, and providing consulting support on product and risk modelling. The Risk Methodology work is focused on actuarial modelling to support risk metric development, regulatory interactions, and providing thought leadership on risk management issues.

    Reporting to the AVP, Market Risk Methodology and Analytics, this contract position is based in the Toronto Office, and focuses on the development of financial modelling tools that are used for product pricing and valuation, and risk measurement.

    The student will have the opportunity to learn about stochastic modeling of assets and liabilities. In addition to using financial modeling techniques, the student will gain experience with a variety of programming technologies: Matlab, C++, C#, VBA, and SQL Server (queries, stored procedures, and SSIS). 



    This position will provide the successful candidate with an opportunity to join a motivated group of risk management professionals and to participate in projects that require both technical and business acumen. The incumbent will also be involved in the review and development of various risk methodologies and reports.



    • Assist with the parameter update of existing financial risk models.
    • Assist with the development and implementation of new financial models.
    • Support all aspects of financial model development (requirements analysis, design, implementation, testing, and documentation).

    Qualifications and Competencies:


    • Knowledge of programming languages Matlab, C++, C#, VBA, and SQL Server
    • Strong mathematical skills ( calculus, differential equations, and numerical methods)
    • Strong statistical skills ( random variables, stochastic processes)

    Personal Effectiveness

    • Excellent analytical and problem solving skills
    • Excellent verbal and written communication skills
    • Well organized and results oriented
    • Able to work in a dynamic, time-sensitive environment

    Education and Experience Requirements

    • University student in a quantitative discipline (e.g., Computer Science, Mathematics, Engineering, Actuarial Science); 
    • Prior software development experience is an asset


    Apply with cover letter, transcript and resume today (please upload as one document)!


    About Great-West Life 


    Together Great-West Life, London Life and Canada Life serve the financial security needs of 12 million people across Canada, with additional operations in Europe and the United States. As members of the Power Financial Corporation group of companies, we’re one of Canada’s leading insurers with interests in life insurance, health insurance, investment and retirement savings. We offer a broad portfolio of financial and benefit plan solutions for individuals, families, businesses and organizations.


    We are committed to providing an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of the communities in which we live, and to creating an environment where every employee has the opportunity to reach their potential.


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