Data Scientist, Liquidity Risk

2 weeks ago


Montreal, Quebec, Canada Desjardins Full time $120,000 - $180,000 per year

The Data Valorization Department is responsible for developing, monitoring and maintaining our credit risk models so that we can offer innovative financing products to our members and clients while ensuring Desjardins's long-term viability. As a liquidity risk data scientist working with the Capital Markets Data Valorization Team, you'll help analyze, research and develop models for managing liquidity risk, while supporting treasury management activities. You recommend directions and strategies to implement industry best practices for governance of liquidity risk management. You'll take on a leadership role with practitioners working on complex, innovative development projects and strategic initiatives. These assignments require sound, in-depth knowledge of derivatives as well as fine-tuned analytical skills and methodological rigour. More specifically, you will be required to:

  • Design, develop and maintain liquidity risk models, mainly for stress testing purposes

  • Ensure ongoing compliance with regulatory requirements and governance documents for managing liquidity risk

  • Monitor changes in the market, best practices for liquidity risk and impacts on other risks, such as interest rate risk

  • Support frontline employees by prioritizing the interests of members and clients, as well as sound liquidity management

  • Collaborate on cross-sector projects related to other risk areas (interest rate risk, market risk, credit risk, etc.)

  • Help develop and maintain the Quantitative Risk Management application and other IT tools used to monitor, model and manage liquidity risks

  • Take part in continuous monitoring of compliance with AMF regulations for deposit-taking institutions

  • Contribute to internal and external risk reporting

  • Contribute to governance documents on liquidity risk and market risk

  • Participate in daily and monthly production by managing a large amount of data

  • Work with the internal analytics community to help it fulfill its role as a hub of data science expertise

What we offer*

  • Competitive salary and annual bonus

  • 4 weeks of flexible vacation starting in the first year

  • Defined benefit pension plan that provides predictable, stable income throughout retirement

  • Group insurance including telemedicine

  • Reimbursement of health and wellness expenses and telework equipment

* Benefits apply based on eligibility criteria.

What you bring to the table

  • Bachelor's degree in finance, mathematical finance, actuarial sciences or a related field

  • A minimum of eight years of relevant experience

  • Please note that other combinations of qualifications and relevant experience may be considered

  • Experience working in a middle office

  • Experience working with the QRM software package

  • Experience in model validation

  • CFA, FRM or PRM certification underway or completed (preferred)

  • Knowledge of French is required

  • Intermediate knowledge of English due to the nature of the duties or work tools or because the position involves

  • Advanced proficiency in Excel

  • Extensive knowledge of liquidity risk management and overall banking operations

  • In-depth knowledge of financial products and how they're modelled

  • Knowledge of Python, VBA, SQL or any other programming language 

#LI-Hybrid    

Trade Union (If applicable)

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask

Job Family

Data (FG)

Unposting Date



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