This recruiter is online.

This is your chance to shine!

National Bank

Data Scientist

Montreal,QC
  • To be discussed
  • Full time

  • 1 position to fill as soon as possible

As a Data Scientist in the Credit Risk Models team at National Bank, you’ll be acting as an expert in credit risk modelling to develop and deploy models to assess the credit risk of the bank's Personal and Commercial customers. It means applying rigorous statistical and financial analysis methods on large databases to find the risk factors that will make it possible to quantify the credit risk associated with each borrower. It also means monitoring the performance of all the models in place. It will be through your autonomy, your rigor and your spirit of initiative that you will stand out.

Your role

  • Develop PD, LGD and EAD regulatory models following a rigorous and documented approach
  • Perform quantitative personal and business portfolio analysis
  • Explain and defend the models developed with internal partners and regulatory authorities
  • Actively participate with IT partners and business lines to ensure the understanding and implementation of the models developed
  • Monitor the performance of models developed using recognized statistical measures (backtesting)

Your team: 

Within the Credit Analytics and Climate Risks sector, you are part of a vice-presidency of about a hundred colleagues and a team of four expert colleagues. You report to the Director - Analytics - Credit Risk Models. Our team stands out for its varied expertise in credit risk and quantitative methods. You have a flexible and hybrid working environment.  

Prerequisites:

  • Bachelor's degree related to the industry (mathematics, statistics, econometrics, financial engineering, etc.) and 3-5 years of relevant experience or Master's degree related to the industry and 1-3 years of relevant experience
  • Experience in statistical and probabilistic modeling
  • Good programming knowledge, preferably SAS or SQL
  • Knowledge of the Basel Accord and IFRS9 is an asset
  • Good writing skills (technical documentation, PowerPoint presentation)
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

Work environmentsNational Bank0
Work environmentsNational Bank1
Work environmentsNational Bank2
Work environmentsNational Bank3

Requested skills

Domaine bancaire, Structures de données, Diversité et inclusion, Probabilité, Résolution de problèmes, Python, Programmation SAS, Statistiques, Travail en équipe[Travail d’équipe, Décisions basées sur les données, Souci du détail, Agilité d'apprentissage, Résilience, Pipeline de données, Analyse exploratoire des données

Requirements

Level of education

undetermined

Diploma

undetermined

Work experience (years)

undetermined

Written languages

Fr : Advanced

En : Advanced

Spoken languages

Fr : Advanced

En : Advanced

Internal reference No.

30304