Senior Data Scientist credit risk management
Ville : Montreal, Quebec
Catégorie : Permanent Full-Time
Industrie : Business intelligence and data
Employeur : National Bank
A career as a Senior analytical data scientist within the Credit risk models team involves acting as an expert in credit risk modeling. You will work on developing and deploying models to assess the credit risk of retail and commercial clients of the bank, on combining data with internal credit expertise to develop models that are both performing and explainable, on advising management in its strategic directions and on improving internal practices. It will be through your autonomy, rigor, and initiative that you will stand out.
The position can be based in either Montreal or Toronto.
Your Job:
- Define the approach, lead, and develop regulatory PD, LGD, and EAD models
- Translate and advocate for the developed models to internal partners and regulatory authorities
- Actively engage with IT and business partners to ensure understanding and implementation of developed models
- Serve as a modeling expert for colleagues, internal or external partners, and various committees
- Quickly identify issues and challenges related to models, develop appropriate solutions, and ensure stakeholder buy-in
- Contribute to advancing internal modeling practices in line with regulatory requirements and industry advancements.
Your Team:
Within the Credit Analytics and Climate Risk sector, you report to the Senior Director of Credit Risk Models and are part of a team of about twelve colleagues. Our team stands out for its diverse expertise in credit risk and quantitative methods. You enjoy a flexible and hybrid working environment.
Prerequisites:
- Master's degree in mathematics, statistics, financial engineering, econometrics, or a related discipline with a minimum of three years of relevant experience
- Experience in developing statistical models
- Strong knowledge of credit risk management and Basel Accord
- Solid programming skills, preferably in SAS or SQL
- Good understanding of IFRS9 Standard and its application, an asset.
- 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