Manager, Decision Science

02/27/2025

Address:

320 S Canal Street

Job Family Group:

Data Analytics & Reporting

Role Summary/Purpose 

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.

Essential Responsibilities 

• 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.

Qualifications/Requirements  

• PHD or MS degree in Statistics,  Mathematics, Actuarial Science,  Engineering, Operations Research, or another highly quantitative field with a track record of academic excellence
• At least 3 years’ experience with developing  data science and data engineering solutions
• At least 2 years' experience in adjudication modelling
• Understanding of credit risk modelling concepts and reject inference
• 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.

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

Salary:

$87,000.00 - $161,400.00

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 http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information.

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.