100 King Street West
Job Family Group:
Data Analytics & Reporting
Understand large, complex historical data and apply data treatment process using SAS, SQL, Python, R etc.
Use Machine Learning and Artificial Intelligence techniques to analyze loans and deposits accounts and customer-level data to specify models or quantitative assumptions that can help Line of Business and Treasury to better understand interest rate risk and customer behavior. Ensure that specification makes business sense.
Write detailed documentation of the developed methodologies, including data construction, methodology specification, results, and testing.
Put together PowerPoint presentations to present the developed methodologies to Line of Business and Corporate Treasury management to explain complex statistical techniques in simple business language.
Communicate with model validation to ensure successful validation of the developed methodologies.
Monitors and tracks developed and future model performance, and address any potential issues
Construct dashboard presentation to assist business decision making and identify model performance issues in a more efficient way
Help with routine processes such as stress testing model runs and annual model reviews.
Assist with ad-hoc analysis requests from Line of Business partners and other Corporate Treasury teams.
Master’s degree in a quantitative field (Statistics, Mathematics, Engineering, Economics, Mathematical Finance) and/or combination of quantitative and business degrees required, Ph.D. preferred
3+ years of strong hands-on computational development skills, particularly statistical and database modeling tools (SAS, R, SQL, Python, Hadoop, Access/VBA etc.), ability to adapt to various programming languages and environments.
Strong data analysis skills, and able to deal with large data sets to extract relevant information.
Effective presentation and communication skills; Ability to convey complex concepts and outcomes to non-subject matter experts.
Proficiency with statistical/econometric modeling techniques
Experience with Machine Learning and Artificial Intelligence techniques is preferred
We’re here to help
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.