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Sr. Manager, Provisioning Methodology & Data Science

We are transforming the way BMO North American Retail Risk approaches loss forecasting and provisioning. As Sr. Manager, Provisioning Methodology & Data Science, you will leverage 5+ years of experience in credit risk modeling and analytics to lead the development, testing, implementation, maintenance and monitoring of advanced statistical and Machine Learning models focused on forecasting aged and insolvency loss components (PD, LGD and EAD), which support the Bank’s PCL (Provision for Credit Losses) calculations and enable early signing insights for the Credit Strategy Team.

The incumbent will have an excellent grasp of the modern techniques of data science in a big data environment, including but not limited to the mathematics and statistics of quantifying portfolio loss distributions through short- and long-term timeframe. He/she will have a thorough understanding of how models and advanced analytic solutions can be leveraged to support model owners (MO) and model users (MU) in measuring the performance of retail portfolios, and how these solutions can be used in conjunction with pricing, adjudication, account acquisition, marketing, product and strategy development, and customer management to optimize risk-return. He/she plays a key role interacting and building relationship with internal and external stakeholders and regulators in terms of model use, risk control and model risk management.

Key Responsibilities:

• Model Development
  • Design, develop and implement advanced statistical and machine learning models to forecast aged defaults and insolvency losses across retail portfolios (e.g., cards, mortgages, small business banking).
  • Develop macro sensitive insolvency /aged components to support readiness for macroeconomic scenario analysis and financial disaster recovery planning.
• Model Implementation
  • Provide hand over document to model implementation team to implement models and conduct User Acceptance Testing (UAT)
  • Support data team in new data acquisition efforts during model implementation
• Loss Forecasting and Business Use of Models
  • Refine stitching and provisioning methodologies to combine various model results together to generate loss forecast and ensure its alignment with evolving regulatory and strategic requirements.
  • Provide support to model users when models are uses in downstream business processes
• Ongoing Model Performance Monitoring
  • Create and maintain performance metrics and assessment guidelines to monitor model accuracy, stability, and business impact.
  • Conduct ongoing model performance monitoring to ensure that models are performing as expected
  • Performing trigger reviews in response to model performance issues
  • Remediate model issues such as required
  • Conducting recalibration or redevelopment as required
• Documentation & Governance
  • Document model development processes, assumptions, testing results to ensure transparency, validation and audit readiness.
  • Submit models to Model Risk (MR) team and answer MR’s model validation questions and secure MR’s approval
  • Obtain exception approval from MR for model use on a time-bounded exceptional basis in cases when the model results are needed urgently
  • Partner with model owner, LOB and finance teams to ensure alignment with enterprise-wide risk and finance strategies
  • Stay abreast of the Bank’s new Model Risk management requirements and ensure compliance.
• Risk Insights Support
  • Support feature importance analysis to identify early indicators of default and insolvency, enabling proactive risk mitigation to minimize future loss.
  • Support the Credit strategy team to translate analytical insights into actionable strategies.
  • Support monitoring risk ttransition across segments to detect early warning signals for aged defaults and insolvency.
  • Support the development of tools and dashboards to visualize risk trends and support decision-making.
  • Support risk assessment and controls to design metrics that minimize PCL exposure.
• Leadership & Collaboration
  • Champion a collaborative, agile working culture across cross-functional teams.
  • Mentor junior analysts and contribute to a high-performance modeling environment.

Qualifications:

• Technical Skills
  • Proficiency in Python, Spark and SAS for big data processing.
  • Strong foundation in traditional statistics and advanced machine learning techniques.
  • Experience building and validating credit risk models (PD, LGD, EAD) and loss forecasting tools.
• Analytical & Communication Skills
  • Strong analytical thinking with the ability to translate complex data into actionable insights.
  • Excellent verbal and written communication skills, with a focus on cross-group collaboration.
• Strategic Mindset
  • Proven ability to drive innovation in risk modeling and provisioning methodologies.
  • Experience working in fast-paced environments with evolving priorities.
• Domain Knowledge
  • Familiarity with Retail Banking Products and the customer behaviours that surround them
  • Familiarity with the credit management landscape and how strategies get formulated

Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Through quantitative analytical modelling, identifies important factors to consider for financial disaster and recovery plans. Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

• Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans.
• Monitors risk in strategies and portfolios alongside project managers or functional leads.
• Conducts research and develops tools that use data to make better financial decisions; such as: investments, pricing, etc.
• Applies knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.
• Identifies ways of mitigating potential risks; recommends and implements solutions based on analysis of issues and implications for the business.
• Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
• Conducts quantitative research in risks across strategies and portfolios.
• Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
• Ensures alignment between values and behaviour that fosters diversity and inclusion.
• Regularly connects work to BMO’s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
• Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
• Attracts, retains, and enables the career development of top talent.
• Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
• Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
• Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
• Implements changes in response to shifting trends.
• Broader work or accountabilities may be assigned as needed.

Qualifications:

Intermediate level of proficiency:

• Regulatory capital and stress testing.
• Compliance and regulation.
• Machine learning.
• Learning Agility.
• Systems Thinking.

Advanced level of proficiency:

• Model risk management.
• Data visualization.
• Data wrangling.
• Data preprocessing.
• Critical thinking.
• Driving Results.
• Quantitative financial modeling.
• Computational thinking and programming.
• Verbal & written communication skills.
• Analytical and problem solving skills.
• Collaboration & team skills; with a focus on cross-group collaboration.
• Able to manage ambiguity.
• Data driven decision making.
• Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Seasoned professional with a combination of education, experience and industry knowledge.

Salaire :

Type de rémunération :

Ce qui précède représente la fourchette et le type de rémunération de BMO Groupe financier.

Les salaires varieront en fonction de facteurs comme l’emplacement, les compétences, l’expérience, les études et les qualifications pour le poste et pourront inclure une structure de commissions. Les salaires pour les postes à temps partiel seront calculés au prorata du nombre d’heures travaillées régulièrement. Pour les rôles à commission, le salaire susmentionné représente la cible de BMO Groupe financier pour la première année au poste.

La rémunération totale offerte par BMO variera selon le type de rémunération associé au poste et peut comprendre des primes de rendement, des primes discrétionnaires ainsi que d’autres avantages et récompenses. BMO offre également une assurance santé, le remboursement des frais de scolarité, une assurance accident et une assurance vie, ainsi que des régimes d’épargne-retraite. Pour en savoir plus sur nos avantages sociaux, consultez le site : https://jobs.bmo.com/ca/fr/R%C3%A9mun%C3%A9ration-globale

À propos de nous

À BMO, nous sommes animés par une raison d’être commune : Avoir le cran de faire une différence dans la vie, comme en affaires. Cette raison d’être nous invite à entraîner des changements positifs et durables pour nos clients, nos collectivités et nos gens. En travaillant ensemble, en innovant et en repoussant les limites, nous transformons des vies et des entreprises et favorisons la croissance économique partout dans le monde.

En tant que membre de l'équipe de BMO, vous êtes valorisé, respecté et entendu, et vous avez plus de moyens pour progresser et obtenir des résultats. Nous nous efforçons de vous aider à obtenir des résultats dès le premier jour, pour vous-même et nos clients. Nous vous offrirons les outils et les ressources dont vous avez besoin pour franchir de nouvelles étapes, car vous aidez nos clients à franchir les leurs. Au moyen de formation et de coaching approfondis ainsi que de soutien de la direction et d'occasions de réseautage, nous vous aiderons à acquérir une expérience enrichissante et à élargir votre groupe de compétences.

Pour en savoir plus, visitez-nous à l'adresse https://jobs.bmo.com/ca/fr.

BMO s'engage à offrir un milieu de travail inclusif, équitable et accessible. Nous apprenons de nos différences et tirons notre force des gens et de leurs différents points de vue. Des mesures d’adaptation sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. Pour demander des mesures d’adaptation, veuillez communiquer avec votre recruteur.

Remarque aux recruteurs : BMO n’accepte pas les curriculum vitæ non sollicités provenant de toute source autre que le candidat directement. Tout curriculum vitæ non sollicité envoyé à BMO, directement ou indirectement, sera considéré comme la propriété de BMO. BMO ne paiera aucuns frais pour les placements découlant de la réception d’un curriculum vitæ non sollicité. Une agence de recrutement doit d’abord détenir une entente de service écrite valide et dûment signée avant d’envoyer des curriculum vitæ.