Manager, quantitative analysis, strategy, and insights

Date limite pour présenter sa candidature :

12/08/2024

Adresse :

100 King Street West

Groupe de famille d'emploi :

Analyses des données et communication de l'information

Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in alignment with Data & AI governance frameworks of BMO.

Responsibilities:

• Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
• Provides advice and guidance to assigned business/group on implementation of analytical solutions.
• Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
• Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
• Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
• Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
• Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
• Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
• Performs experimental design approaches to validate finding or test hypotheses.
• Uses the appropriate algorithms to discover patterns.
• Builds effective relationships with internal/external stakeholders and ensures alignment.
• Supports development of tools and delivers training for data analytics and AI.
• Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
• Leads/participates in the design, implementation and management of core business/group processes.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently on a range of complex tasks, which may include unique situations.
• Broader work or accountabilities may be assigned as needed.

Qualifications:

• Typically between 4 - 6 years of relevant experience and graduate-level degree in related field of study or an equivalent combination of education and experience.
• Experience in statistical analysis, data mining, and data cleansing/transformation.
• Knowledge of visualization techniques and concepts (e.g, Power BI, SpotFire).
• Knowledge of distributed computing and/or distributed databases.
• Experience with distributed computing language (e.g. Hive/Hadoop/Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
• Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, Perl) and machine learning/deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
• Technical proficiency gained through education and/or business experience.
• Verbal & written communication skills - In-depth.
• Collaboration & team skills - In-depth.
• Analytical and problem solving skills - In-depth.
• Influence skills - In-depth.
• Data driven decision making - In-depth.

Salaire :

$81,600.00 - $151,200.00

Type de rémunération :

Salaire

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

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.