Senior Manager, Machine Learning

BMO•Toronto, ON

3d•CA$103,200 - CA$192,000•Hybrid

About The Position

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions. Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems. Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data. Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms. Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness. Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders. Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap. 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. Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Requirements

Advanced level of proficiency: Mathematics, statistics & operations research.
Advanced level of proficiency: Deep learning.
Advanced level of proficiency: Machine learning.
Advanced level of proficiency: Trust, bias and ethics.
Advanced level of proficiency: Creative thinking.
Advanced level of proficiency: Critical thinking.
Advanced level of proficiency: Big data.
Advanced level of proficiency: Data visualization.
Advanced level of proficiency: Computational thinking and programming.
Advanced level of proficiency: Data wrangling.
Advanced level of proficiency: Data preprocessing.
Advanced level of proficiency: Creative reasoning.
Advanced level of proficiency: Verbal & written communication skills.
Advanced level of proficiency: Analytical and problem solving skills.
Advanced level of proficiency: Influence skills.
Advanced level of proficiency: 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/or certification in related field of study or an equivalent combination of education and experience.
Seasoned professional with a combination of education, experience and industry knowledge.

Responsibilities

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights.
Designs and constructs new processes for modeling data.
Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity.
Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.
Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
Develops prediction systems and machine learning algorithms.
Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
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.
Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.