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BMO Financial Group Manager, Net Present Value Modelling in Toronto, Ontario

Address:

55 Bloor Street West

Job Family Group:

Data Analytics & Reporting

Role Summary/Purpose

The role is responsible for supporting BMOs Retail Credit Cards & Personal Lines of Credit product portfolios in the development of Net Present Value (NPV) decision making models to size growth opportunities and optimize within our existing risk appetite across credit lifecycle stages. The incumbent will play a critical contributory role in the creation of statistical and financial models to support BMO’s risk optimization initiatives, making use of a deep understanding of retail banking products and the economics that drive product and portfolio value. This role works collaboratively with partners across Retail Banking, Credit Risk, Finance, Marketing and Technology & Operations and the broader North American Data & Analytics Centre of Excellence team.

Essential Responsibilities

End-to-end accountability in developing, analyzing, and integrating Net Present Value decision making Models

  • Perform analyses that require the application of financial concepts and tools i.e. NPV, IRR, Discounted Cash Flows, loss projections as well as exposure and risk assessment.

  • Collaborate with partners to drive the progress of NPV model development against both business objectives and deadline requirements

  • Design, develop and maintain code used for data engineering and modelling tasks in order to prepare, manipulate and analyze large internal and external datasets using SAS, R, Python, or SQL.

  • Extract, manipulate and analyze data from a variety of sources to formulate insightful conclusions, provide strategic recommendations, and inform management actions

  • Establish and maintain both analytical model development and financial performance measurement standards. Ensure that models are updated with key inputs and assumptions.

  • Contribute thought-leadership to experienced forum of modellers and decision-makers that will ultimately optimize credit strategies

  • Provide analytical solutions involving descriptive, predictive, and prescriptive analysis through the retail lending portfolio lifecycle, leveraging a variety of techniques

  • Communicate effectively on complex concepts and results to internal partners and manage issues surrounding the development of NPV models

  • 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.

Knowledge, Skills & Experience

Qualifications/Requirements

  • The ideal candidate will hold a University degree in Statistics, Mathematics, Finance & Accounting, Actuarial Science, Engineering, or another highly quantitative field, preferably in financial service industry

  • Post graduate education (e.g. MBA in relevant field, CPA/CFA designations) is a strong asset.

  • At least 5+ years of relevant experience with a major financial institution.

  • Strong familiarity with retail banking product economics.

  • Understanding of credit risk concepts is an asset.

  • Understanding of Basel capital requirements is an asset.

  • Advanced programming skills; proficiency with programming languages such as R, SAS, Python or SQL; and a high level of familiarity with Microsoft Office tools.

  • Ability to independently conceptualise and explain financial ideas.

  • Strong project management skills with the ability to manage multiple assignments effectively.

  • 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.

Desired Characteristics:

  • 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

  • In-depth analytical and problem solving skills

  • Strong communication, interpersonal, and team building skills

  • Demonstrates ability to build a good fact base, apply sound reasoning, and generate relevant recommendations that get implemented and lead to business success

  • Flexibility and resourcefulness to interface and collaborate with internal and external groups

  • Ability to take accountability and ownership of deliverables

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.

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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