Credit Risk Strategy Data Scientist

Desjardins

Montreal

On-site

CAD 80,000 - 110,000

Full time

2 days ago
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Benefits offered by this job

Competitive salary
Annual bonus
4 weeks vacation
Defined benefit pension
Group insurance
Telework equipment

Job summary

Desjardins is seeking a Credit Risk Strategy Data Scientist in Montreal to develop and optimize credit risk strategies for personal financing. You will work on product-related data, apply machine learning, and build quarterly Power BI reports while monitoring performance across lifecycle stages.

The role requires a quantitative degree, 2+ years in data analysis or risk management, and fluency in French. You will collaborate with risk teams and gain exposure to cross-functional projects within a

Qualifications

  • Bachelor's degree in a quantitative discipline.
  • Minimum of two years of relevant experience in data analysis, predictive modelling or risk management.
  • Knowledge of French is required.
  • Knowledge of machine learning algorithms and their application in credit risk management.
  • Advanced knowledge of SAS, SQL and/or Python.

Responsibilities

  • Optimize and develop decision-making strategies for credit management and prepare associated documentation.
  • Apply knowledge of machine learning and predictive modelling to maximize financial impact and support credit risk strategies.
  • Participate in complex data analyses (SAS, Python), interpret results, build replicators and monitor performance in production.
  • Monitor financing products and conduct quarterly performance reviews.
  • Contribute to various projects, analyses in your area of expertise and make recommendations aligned with strategic priorities.
  • Advise organizational units on risk management matters, communicating complex information clearly.

Skills

Data analysis
Predictive modelling
Risk management
Machine learning
SAS
SQL
Python
Power BI
French

Education

Bachelor's degree in a quantitative discipline

Tools

Power BI

Job description

The Credit Risk Strategy Department develops and implements credit risk decision-making strategies based on risk/return quantification to deliver value for the organization as well as members and clients, while safeguarding Desjardins Group’s sustainability. As a credit risk strategy data scientist, you help develop, implement and optimize credit risk strategies for personal financing products, at granting and throughout their lifecycle. You develop expertise in product-related databases and the systems where the strategies are executed. More specifically, you help recommend ways to optimize strategies by applying your knowledge of machine learning and modelling. You also help develop quarterly performance reports in Power BI, conduct ad hoc analyses and perform post-implementation monitoring.

Responsibilities

More specifically, you will be required to:

  • Optimize and develop decision-making strategies for credit management and prepare associated documentation
  • Apply your knowledge of machine learning and predictive modelling to maximize financial impact and support credit risk strategies
  • Participate in complex data analyses (SAS, Python), interpret results, build replicators and monitor how our strategies perform once in production
  • Monitor financing products and conduct quarterly performance reviews
  • Contribute to various projects, assignments and data analyses in your area of expertise and make recommendations aligned with strategic priorities
  • Advise organizational units and other collaborators on risk management matters in your area of expertise, communicating complex information clearly.
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 a quantitative discipline
  • A minimum of two years of relevant experience in data analysis, predictive modelling or risk management
  • Please note that other combinations of qualifications and relevant experience may be considered
  • Knowledge of French is required
  • Knowledge of machine learning algorithms and their application in credit risk management
  • Advanced knowledge of SAS, SQL and/or Python
  • Knowledge of the Power BI data visualization tool is an asset
  • Knowledge of credit risk
  • Action oriented, Complexity, Customer Focus, Differences, Innovation, Interpersonal Savvy, Nimble learning

Equity, Diversity, Inclusion and Accessibility 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.

Desjardins Group is the largest cooperative financial group in North America. We're the choice for over 52,000 employees and we're named one of Canada's top employers by Mediacorp and Forbes. We offer a full range of financial products and services and share our expertise in personal services, business services, wealth management, life and health insurance, and property and casualty insurance. Pursuing a career at Desjardins means being part of an organization that puts people first.

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