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A data science specialist position that combines knowledge of financial markets and investment sales with data and technology skills. 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 data technology to design solutions that deliver smarter business decisions. Data visualization and dashboard management expected to be part of day-to-day. The ideal candidate will be collaborative and sociable, and will work with data engineers to set up analytics, as well as investment distribution teams to implement 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. Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus. Provides specialized consulting, analytical and technical support. Exercises judgment to identify, diagnose, and solve problems within given rules. Works independently and regularly handles non-routine situations. Broader work or accountabilities may be assigned as needed. Qualifications: Intermediate level of proficiency: Mathematics, statistics & operations research. Machine learning. Trust, bias and ethics. Creative thinking. Critical thinking. Advanced level of proficiency: Big data. Data visualization. Computational thinking and programming. Data wrangling. Data preprocessing. Creative reasoning. Verbal & written communication skills. Collaboration & team skills. Analytical and problem solving skills. Influence skills. Data driven decision making. Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience. SQL, Python/SAS, and visualization (e.g., PowerBI) skills are essential. Knowledge of asset management, sales, and/or financial institutions an asset. Salary: $82,800.00 - $154,800.00 Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards About Us 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 https://jobs.bmo.com/ca/en BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

What you’ll do

The role involves using advanced analytical algorithms and AI/ML to mine large datasets and develop predictive models for business decision-making. The specialist will collaborate with data engineers and investment distribution teams to implement innovative data strategies and visualization dashboards.

Requirements

Candidates need 5-7 years of relevant experience and a post-secondary degree in a related field. Proficiency in SQL, Python/SAS, and PowerBI is essential, along with strong skills in statistics and big data processing.

Benefits

• Health Insurance • Tuition Reimbursement • Accident Insurance • Life Insurance • Retirement Savings Plans

Listed skills

• Machine learning · Preferred
• SQL · Preferred
• Python · Preferred
• Data visualization · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Machine Learning
• Deep Learning
• Artificial Intelligence
• SQL
• Python
• SAS
• PowerBI
• Data Visualization
• Big Data
• Data Wrangling
• Data Preprocessing
• Computational Thinking
• Statistics
• Mathematics
• Predictive Modeling
• Data Mining

Job areas

• Data & Analytics
• Finance & Accounting
• Technology
• Science & Research
• Consulting