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  • 12 Aug 2015 12:33 PM
    Message # 3476352
    Yadong Wang (Administrator)

    Join the Global Community of Scotiabankers to help customers become financially better off.
    A Best Workplace
    Scotiabank is a premier financial institution and Canada’s most international bank recognized as a Best Workplace®, in Canada, Mexico, El Salvador, Costa Rica, Puerto Rico, Dominican Republic, Panama, Peru, Chile and Latin America by the Great Place to Work® Institute.
    A multinational winning team
    Scotiabank is Canada’s international bank and a leading financial services provider in North America, Latin America, the Caribbean and Central America, and parts of Asia. We are dedicated to helping our 21 million customers become better off through a broad range of advice, products and services, including personal and commercial banking, wealth management, corporate and investment banking.
    Corporate Social Responsibility
    Scotiabank helps to build bright futures worldwide through ethical banking practices, environmental awareness and a commitment to communities.

    Global Risk Management (GRM) plays a leadership role in establishing the Bank´s risk appetite and strategies – and partners with the Business Lines, Finance, Group Treasury and others to operate within these parameters.
    Scotiabank´s approach to risk management is a globally-recognized competitive advantage – which balances sound judgment, effective tools, considerable management input & prudent oversight.

    GRM´s greatest strength is the expertise and commitment of our people. We are committed to attracting, developing & rewarding a diverse group of high-performing employees.


    We are searching for a risk professional within Global Risk Management. The Bank is centralising its risk modeling into a single centre of excellence and this role is a part of a newly created team. You will interact with other experts across different risk management areas as well as Group Treasury.

    Reporting to the Director, ALM Risk Modeling, the incumbent will be a key part of the development of the Bank’s risk models and will be accountable for managing and monitoring the models.

    You will be a key part of the development of robust risk models including, but not limited to, interest rate risk modeling, market shocks and macroeconomic factors. The Bank’s risk models will be used to produce important risk metrics used by senior management and regulators. Risk modeling is a combination of programming and building fundamental methodology. Strong experience in programming and modeling is crucial to this role.

    You will be accountable for managing and monitoring risk models after the development. This will include ongoing production support, creating and maintaining documentation, maintaining/monitoring all code and monitoring data feeds to calibrate the models.

    You will work with other experts in the Bank and as such, relationship management is important to this role. You will be expected to maintain a working relationship with the modeling groups in Liquidity and Interest Rate Risk, Economic Capital modeling team, Model Validation and Group Treasury. You will also be expected to ensure the compliance with various governance agents such as regulators such as OSFI, Internal Audit and Model Validation and Approval. To this end, strong communication is critical to this role.


    • Experience in quantitative ALM modeling, risk factor modeling or related area
    • Strong communication skills
    • Programming experience with Python, C++, MATLAB or related languages
    • Problem solving and analytical skills
    • Teamwork skills


    Degree in Mathematics, Actuarial Science, Statistics, Computer Science or related discipline is preferred.
    For more information on this opportunity contact:

    Ju Hui Lee, Director, ALM Risk Modeling


     Scotiabank is an equal opportunity employer and welcomes applications from all interested parties. We thank you for your interest, however, only those candidates selected for an interview will be contacted. No agencies please.

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