Internship
Toronto, Ontario, Canada
Posted 2 years ago
TBD USD / Year
BMO profile

Job applications may no longer being accepted for this opportunity.

BMO

Address

100 King Street West

Job Family Group

Data Analytics & Reporting

As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

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 in alignment with Data & AI governance frameworks of BMO.

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 post-secondary degree in related field of study or an equivalent combination of education and experience.
Knowledge of visualization techniques and concepts.
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).
Experience in statistical analysis, data mining, and data cleansing / transformation.
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.