Job Description

Attendance: Hybrid



Employment Category: Intermediate Professional



Type of Contract: Permanent



Benefits for vendors:
A career as a Senior Credit Risk Management Analyst in the Credit Risk Analytics team at National Bank means that you can specialize in AIRB model back-testing, risk data analytics and building A.I. processes to support risk functions. This position allows you to have a positive impact on our organisation thanks to your programming skills, expertise in risk models and ability to optimize critical processes.

Your job

Efficiently design and implement processes related to risk models (AIRB, IFRS9, economic capital) while ensuring their robustness and reliability. Build and maintain unit tests, regression tests and quality controls to ensure accurate results. Collaborate and act as a bridge between business teams and technology teams to ensure a shared understanding of needs. Analyze and investigate data, identify change drivers and propose areas for improvement. Coordinate with upstream and downstream to plan out risk production activities. Participate in back-testing activities, including implementation, test, operation and reporting. Develop A.I. agents using tools such as copilot to automate and optimize risk processes.

Your team

In Credit risk Analytics, you are part of a large team of colleagues and report to the Senior Director. Our team stands out for its strong expertise in modelling, data analytics and complex process development, as well as a culture of collaboration and continuous learning.



Our goal is to offer you maximum flexibility to promote your quality of life. This includes a hybrid work environment and a flexible and adaptable schedule.



The Bank values continuous development and internal mobility. Our training programs will 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.

Prerequisites

Have a master's degree in financial engineering, finance, economics, statistics, mathematics or computer science, or any related degree in the field. Have at least 2 to 3 years of relevant experience in risk management in complex environments. Have solid practical experience in programming and maintaining production processes involving large datasets. Master SAS, Python, SQL, and UNIX shell scripts. Demonstrate in-depth understanding of credit risk models and their back-testing processes.

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!



Additional required languages: English



Skills: Artificial Intelligence, Communication, Credit Management, Diversity & Inclusion, Stakeholder Management, Teamwork, Cybersecurity, Empathy, Influence others, Initiative, Learning Agility, Resiliency, Self-Sufficiency, Risk Data and Analytics