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About the Role
This role uses advanced analytical algorithms and technologies like machine learning, deep learning, and artificial intelligence to mine and analyze large datasets for insights. It involves designing new data modeling processes, developing predictive models, and leveraging big data technology to create solutions that improve business decisions, customer experience, and productivity. The position also focuses on the futuristic display of data and advancing innovative data strategies to understand consumer trends and solve business problems.
Responsibilities
- 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.
- 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.
- Provides recommendations and advice for business leaders to maintain market competitiveness.
- Develops prediction systems and machine learning algorithms.
- Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
- Collaborates with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
- Exercises judgment to identify, diagnose, and solve problems within given rules.
- Works independently on a range of complex tasks, which may include unique situations.
- Takes measured risks while protecting the bank by applying the Risk Management Framework in the execution of the role, in line with the Risk Culture and within the approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents, laws and regulations.
Requirements
- 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.
- Technical proficiency gained through education and/or business experience.
Skills
- Deep learning
- Machine learning
- Trust, bias and ethics
- Creative thinking
- Critical thinking
- Mathematics, statistics & operations research
- Big data
- Data visualization
- Computational thinking and programming
- Data wrangling
- Data preprocessing
- Complex problem solving
- Analytical acumen
- Creative reasoning
- Verbal & written communication skills
- Collaboration & team skills
- Analytical and problem solving skills
- Influence skills
- Data driven decision making
Location
- 320 S Canal Street
Work Type
- Salaried
Experience Level
- 4-6 years
Education Level
- Post-secondary degree in related field of study or equivalent combination of education and experience
Salary/Compensations
- $65,000.00 - $140,000.00
Benefits
- Health insurance
- Tuition reimbursement
- Accident and life insurance
- Retirement savings plans
About the Company
- At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
- As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.
- To find out more visit us at http://jobs.bmo.com/us/en
Equal Opportunity
- BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
- BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.