Data Scientist, Credit Application Fraud Detection

As a data scientist specialized in detecting credit application fraud, you develop and update predictive models for new self-serve journeys to help prevent and detect fraud in digital and automated environments. You help design, deploy and continuously improve detection mechanisms to identify complex fraudulent behaviours in evolving credit application journeys. You work closely with the business sectors and the fraud, credit risk and data teams to understand the issues, translate needs into analytical solutions and ensure they are operationally effective. Your work requires the ability to analyze evolving fraud tactics, continuously adjust detection models and mechanisms and actively contribute to the overall quality and performance of credit application fraud controls.More specifically, you will be required to:

• Develop and update fraud detection models and rules related to the new self-service credit application journeys.

• Create, calibrate and monitor the performance of models and rules.

• Analyze emerging and complex fraud patterns for self-serve digital journeys and recommend adjustments.

• Research, design and improve features related to fraudulent behaviour.

• Work with business partners and fraud teams to translate operational needs into practical analytical solutions.

• Help document and understand models and their performance and explain them to stakeholders.

• Help solve analytical issues involving business, technological and regulatory constraints.

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.

#LI-Hybrid

What you bring to the table

• Bachelor’s degree in computer science, statistics, mathematics, data science or a related field

• At least four years of relevant experience in quantitative analysis, modelling or data science

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

• Experience developing and deploying advanced analytics or predictive solutions

• Experience with transactional or decisioning data

• Experience working with cloud platforms such as CP4D or Microsoft Azure

• Experience with Apache Spark (via PySpark or Scala) or knowledge of Databricks

• Knowledge of French is required

• Knowledge of Python and SQL programming

• Knowledge of data science methodologies and their limitations (scikit-learn, pandas, Matplotlib, NumPy, SciPy, PySpark etc.)

• Ability to analyze complex issues and propose solutions tailored to business needs

Action oriented, Complexity, Customer Focus, Differences, Innovation, Interpersonal Savvy, Nimble learning

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

2026-05-6