Senior Data Scientist

A career as a senior data scientist in the Models, Technology and Transformation team at National Bank means acting as a modelling expert. It is through your analytical skills, your experience working in a multidisciplinary team and your knowledge of rare event modeling that you have a positive impact on the experience of our partners and customers.

Your job:

• Collaborate with different partners to complete high-impact modeling mandates.
• Develop, maintain and optimize financial crime detection models.
• Recommend efficient approaches to the detection of financial crimes.
• Ensure that you meet the standards surrounding the statistical modeling and model documentation process.
• Contribute to reporting or analysis activities in the fight against financial crimes.
• Supporting our partners in their business needs.

Your team:

Within the compliance sector, you are part of a team of 8 colleagues and report to the analytics director, monitoring - risk management at AML/ATF. Our team stands out for its expertise, its spirit of collaboration and creativity, as well as its passion for the fight against money laundering.

We favor a variety of forms of continuous learning to enrich your development, including learning in action, training content made available to you and working in collaboration with colleagues with diverse expertise and profiles.

The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, language training, the Harvard Learning Centre and coaching and mentoring support are available to you at any time.

Prerequisite:

• Bachelor's degree completed and 6 years of relevant experience or Master's degree completed and 4 years of relevant experience (in statistics, data science, mathematics, computer science or a related field).
• Experience in modeling and a good command of supervised and unsupervised approaches.
• Expertise in data visualization.
• Proficiency in SAS, SQL and Python and good knowledge of the Power BI tool.