Head, Machine Learning & Predictive Analytics

Address:

Please note we are back in office 2-3 days/week in Toronto (100 King Street West)

Designs, develops, tests, and implements tools for financial crimes prevention and detection using Machine Learning (ML), Artificial Intelligence (AI) and predictive analytics. Researches, builds, and implements scalable machine learning and knowledge graph based models capable of training on BMO & approved external data to predict anamolous patterns requiring actions.

• Machine Learning & Operations. Designs and develops machine learning (ML) and deep learning systems. Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and optimize results
• Develops ML algorithms to analyze huge volumes of historical data to make predictions. Develops Machine Learning apps, implements algorithms, and builds tools to apply ML frameworks
• Enhances data pipelines and lakes to ensure data is clean, accurate, and optimized for machine learning models
• Monitors, evaluates, and optimizes learning processes to continuously improve high-performance models
• Natural Language Processing (NLP)/Natural Language Generation (NLG) Implementation
• Discovery & inventory of patterns and enablement of scaled anomaly detection
• Develops predictive models, uses advanced analytical algorithms and technologies to mine and analyze large sets of structured and unstructured data to obtain insights
• Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms
• 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
• Investigates additional technologies and tools for developing innovative data solutions for the FCU. Leverages new analytical techniques to support prevention, detection and investigation
• Supports the development of the strategy and roadmap for data quality, data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools

Managerial Leadership:

• Within the mandate of this role, promotes and supports the Bank’s risk culture including ensuring employees understand their accountabilities for risk-taking activities, promoting an environment of open communication and effective challenge, and establishing the “tone from the top” through leading by example.
• Complies with the Bank’s Risk Appetite framework and ensures risk-taking activities remain within agreed limits and comply with all regulatory requirements.
• Role models driving simplicity and productivity enhancements for optimization across groups driving continuous improvement on key measures.
• Activates our winning culture, aligned with Purpose. Ignites engagement by aligning our culture to our strategy and fueling exceptional execution.
• Fosters diversity, equity and inclusion and creates an inclusive environment for all employees by eliminating barriers to inclusion.
• Develops leaders, plans for succession, and fosters a high-performance culture.
• Drives top talent acquisition and retention, developing organizational capabilities to drive competitive advantage.
• Leads and mentors a team with diverse risk and business experience, skills, and orientation.
• Leads, promotes, and reinforces the Bank’s Ambition; personally, role models One Bank leadership; drives sustainable improvements in customer loyalty and business growth; adheres and supports enterprise customer experience and brand standards.

Qualifications:

• Typically 15+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
• Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
• 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).
• Seasoned expert with extensive industry knowledge, including fraud management practices, policies and procedures in large multi-product, multi-business environment.
• In-depth knowledge of risk and regulatory requirements and management as they apply to fraud or other criminal risk
• Technical leader viewed as a thought leader for innovation.
• Deep learning, machine learning, big data - Expert.
• Verbal & written communication skills - Expert.
• Analytical and problem solving skills - Expert.
• Influence skills - Expert.
• Collaboration, team skills and stakeholder management; with a focus on cross-group collaboration - Expert.
• Able to manage ambiguity.
• Data driven decision making - Expert.

The salary range for this role is $195,000 - $220,000

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.