Description
A career as a Senior Developer in SAS Data Engineering at National Bank means participating in the transformation and having a direct impact on clients. You will work on innovative projects to analyse and structure data to meet the different needs of teams in credit analytics and climate risks, which will become an essential link in creating value and client impact at the Bank. the resilience of the organisation is also important. This is in a dynamic and user-friendly work environment.
Your job
Your team
In the Credit and Climate risk Analytics sector, you are part of a vice-president of around 50 colleagues and a team of around 10 data specialists. You will report to the Senior Manager of the Credit and Climate risk Analytics team. The team is dynamic and works in agile mode, and collaboration is an important value. We work closely with our partners, which will help you develop your business knowledge of managing credit and climate risk data.
Our expertise in credit risk and quantitative methods stands out. You have a flexible, hybrid work environment with an office presence target of 40%. Our on-the-job training programs help you master your profession. Personalized training content is available to promote your ongoing learning. Access to colleagues with diverse expertise, experience and profiles will enrich your development from every point of view.
Prerequisites
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Your job
- Participate in the design and development of structured and unstructured business data acquisition solutions
- Support the implementation of data environments that allow analysis for business intelligence, advanced analytics and artificial intelligence purposes
- Develop and test data ingestion processes
- Produce reconcile and control data and their quality indicators
- Collaborate with stakeholders and the Credit and Climate risk Analytics, Disclosure and Data quality and Governance teams
- Communicate and explain complex technical concepts to users of analytical platforms.
Your team
In the Credit and Climate risk Analytics sector, you are part of a vice-president of around 50 colleagues and a team of around 10 data specialists. You will report to the Senior Manager of the Credit and Climate risk Analytics team. The team is dynamic and works in agile mode, and collaboration is an important value. We work closely with our partners, which will help you develop your business knowledge of managing credit and climate risk data.
Our expertise in credit risk and quantitative methods stands out. You have a flexible, hybrid work environment with an office presence target of 40%. Our on-the-job training programs help you master your profession. Personalized training content is available to promote your ongoing learning. Access to colleagues with diverse expertise, experience and profiles will enrich your development from every point of view.
Prerequisites
- 3 to 5 years of experience in data engineering
- Experience in data manipulation, analysis and prototyping
- Experience in risk management (credit, market, operational, etc.), an asset
- Expertise in several data manipulation languages: SAS, SQL, and/or Python.