Senior Data Scientist

A career as a Senior Data scientist, Team Lead, in the Governance and Credit quality team at National Bank means serving as a specialist in credit decision model validation. This position allows you to have a positive impact on the Bank's risk management thanks to your expertise in modelling, credit risk and quantitative methods. You contribute to the independent assessment of the models used for credit activities for Personal Banking and small and Medium-sized businesses. You also provide technical leadership to your colleagues and participate in strategic projects that influence the Bank's models, decision-making strategies and risk profile.

Your job

• Carry out and oversee independent model risk assessments for credit decision models intended for individuals and SMEs, by analysing their methodological robustness, assumptions, limitations, and risks related to their approval, implementation and use.
• Monitor the performance of models in production by analysing results, identifying gaps, drifts and emerging risks, and recommending the actions required to maintain an acceptable level of risk.
• Act as a reference in managing the model lifecycle, ensuring the consistent application of regulatory requirements, internal policies and model risk management standards.
• Draft and review validation reports, conclusions and recommendations, clearly communicating findings, issues, risks and impacts on credit decisions and risk management.
• Participate in strategic projects related to retail and SME credit activities by assessing the impact of the proposed changes on the Bank's models, decision-making strategies, credit processes and risk profile.
• Act as a technical reference for the team and business partners, contributing to the resolution of complex issues, supporting audits and regulatory reviews, and promoting the continuous improvement of model risk validation and management practises.

Governance and Credit quality, under Senior Vice-President – Credit Analytics and Integrated risk Management, brings together more than 35 specialists who collaborate to develop innovative solutions adapted to industry challenges. You are part of a team recognised for its diversity of expertise, rigour and ability to deliver quality results. Our goal is to offer you maximum flexibility to promote your quality of life, particularly through a flexible, hybrid work environment.

The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, 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

• Bachelor’s or master’s degree in a related field and 7 to 10 years of relevant experience.
• Excellent knowledge of quantitative methods, particularly modelling and artificial intelligence techniques.
• Proficiency in at least one of the following languages or software: SAS, R or Python.
• Extensive experience in credit risk and model validation
• Solid knowledge of activities and products related to Personal Banking and small and medium-sized businesses.
• Experience in technical coordination, coaching or developing colleagues in an analytical or validation environment.