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National Bank

Senior SAS Data Engineering Developer

Montreal,QC
  • To be discussed
  • 1 position to fill as soon as possible

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
  • 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.
Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family.    * Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and Family Assistance Program * Preferential banking services * Opportunities to get involved in community initiatives * Telemedicine service * Virtual sleep clinic    These are a few of the benefits available to you. We have an offer that keeps up with trends as well as your needs and those of your family.   Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We actively listen to employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication is encouraged.   We're putting people first We're a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on peoples' lives. Our core values of partnership, agility, and empowerment inspire us, and inclusivity is central to our commitments. We offer a barrier-free workplace that is accessible to all employees.     We want our recruitment process to be fully accessible. If you require accommodation, feel free to let us know during your first conversations with us. We welcome all candidates! What can you bring to our team?    Come live your ambitions with us!

Work environment

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Work environmentsNational Bank1
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Requirements

Level of education

undetermined

Diploma

undetermined

Work experience (years)

undetermined

Written languages

undetermined

Spoken languages

undetermined

Internal reference No.

28307