BMO Financial Group Manager, Credit Risk Modeling - Decision Science in Chicago, Illinois
111 W Monroe - 115 S LaSalle
Job Family Group:
Data Analytics & Reporting
The role is responsible for supporting various data science projects including development and maintenance of the origination, portfolio risk management and collection models/strategies. The individual will assist senior manager in developing various machine learning solutions for risk management and monitoring model performance.
Support the development and maintenance of machine learning statistical and/or other scoring and forecasting models and tools by assisting with data engineering and data science tasks
Work with risk and lines of business teams to develop analytic solutions, ad-hoc analysis and modeling to drive new initiatives, improve business processes and deliver value using data driven decisions. This includes but is not limited to the development of data science and business intelligence solutions across consumer and small business products.
Provide analytical solutions involving descriptive, predictive, and prescriptive analysis through the retail lending portfolio lifecycle, leveraging a variety of techniques (e.g., supervised and unsupervised learning, Monte Carlo simulation, etc.)
Design, develop and maintain code used for data engineering and data science tasks in order to prepare, manipulate and analyze large internal and external datasets using SAS, R, Python, or SQL.
Support the delivery and enhancement of regularly scheduled (monthly, quarterly) reporting packages for models and/or credit risk strategic initiatives
Assist in preparing materials for presentations, documents or business cases to senior management as needed
Assist in conducting portfolio and ad-hoc analysis as needed
Assist in project management activities as required.
At least Master’s degree in Statistics, Mathematics, Actuarial Science, Engineering, Operations Research, or another highly quantitative field with a track record of academic excellence
At least 2 years’ experience with developing data science and data engineering solutions
Understanding of credit risk concepts is an asset
Knowledge of various statistical software skills including SAS, R, Python, etc.
Proven analytic and problem solving skills
Ability to effectively communicate findings and insights in a clear and concise manner to different audiences with varying technical backgrounds
Ability to translate highly technical concepts into actionable business solutions
Excellent oral and written communication skills.
Strong collaboration, teamwork skills.
Advanced programming skills; proficiency with programming languages such as R, SAS, Python or SQL; and a high level of familiarity with Microsoft Office tools.
Strong project management skills with the ability to manage multiple assignments effectively.
Understanding of risk management concepts including Probability of Default(PD), Exposure at Default (EAD) and Loss Given Default (LGD), etc.
Experience developing data science models and solutions
Experience working with big data
We’re here to help
At BMO Harris Bank 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 Harris Bank 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.bmoharris.com.
BMO Harris Bank 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. BMO Harris Bank N.A. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.
BMO Financial Group Serving customers for 200 years and counting, BMO is a highly diversified financial services provider – the 8th largest bank, by assets, in North America. With total assets of $728 billion as of October 31, 2018, and a team of diverse and highly engaged employees, BMO provides a broad range of personal and commercial banking, wealth management and investment banking products and services to more than 12 million customers and conducts business through three operating groups: Personal and Commercial Banking, BMO Wealth Management and BMO Capital Markets.We serve Canadian clients through BMO Bank of Montreal®, our personal and commercial banking business, BMO Nesbitt Burns®*, one of Canada's leading wealth management firms, and BMO Capital Markets™, our North American investment and corporate banking division.In the United States, clients are served through BMO Harris Bank, a major U.S. Midwest personal and commercial bank, and BMO Private Bank, with wealth management offices across the United States, as well as BMO Capital Markets™, our North American investment and corporate banking division.We help our customers make money make sense by delivering the broadest range of financial services through a single point of contact. Our financial service professionals provide access to any services our customers require across the entire enterprise.
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