Senior Analyst, Loss Forecasting & Production

Bank of Montreal; Toronto; On-site; CAD 81,000 - 152,000; Full time

Job summary

An established industry player seeks a skilled Data Analyst to provide insights and recommendations for financial assessments. This role involves utilizing advanced analytical algorithms and big data technologies to drive smarter business decisions and enhance customer experiences. You will collaborate with cross-functional teams to design innovative data solutions and ensure transparency in financial reporting. Join a dynamic team dedicated to making a positive impact through data-driven strategies and cutting-edge analytics. If you are passionate about transforming data into actionable insights, this opportunity is perfect for you.

Benefits

Health Insurance

Tuition Reimbursement

Accident and Life Insurance

Retirement Savings Plans

Performance-Based Incentives

Discretionary Bonuses

Qualifications

• 5-7 years of relevant experience in data analytics and reporting.
• Deep knowledge and technical proficiency in data analysis.

Responsibilities

• Analyze and report on the Bank's IFRS-9 Performing Allowance assessment.
• Develop predictive models and leverage big data technology.

Skills

Mathematics

Statistics

Deep Learning

Machine Learning

Creative Thinking

Critical Thinking

Analytical Skills

Data Driven Decision Making

Education

Post-secondary degree in related field

Tools

Big Data Technologies

Data Visualization Tools

Machine Learning Frameworks

Job description

Application Deadline:

05/20/2025

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

Provides monitoring, analysis and reporting of the Bank’s IFRS-9 Performing Allowance assessment. Manage quarterly extraction of portfolio data and quantitative model expected loss (EL) results; analyze monthly/quarterly changes at granular level. Provide insight and recommendations to executives when determining the appropriate level of allowance to be recorded in the Bank’s financials. Create and maintain policies & standards, methodologies, documentation and controls that increase transparency, accuracy and consistency of the allowance assessment. Manage relationships with stakeholders and subject matter experts as the role requires, including the Lines of Business, Group Finance areas, Risk Reporting, Model Risk & Vetting, Basel Group and Stress Testing.

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

• Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
• Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
• Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
• Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
• Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
• Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Provides specialized consulting, analytical and technical support.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently and regularly handles non-routine situations.
• Broader work or accountabilities may be assigned as needed.

Qualifications:

Intermediate level of proficiency:

• Mathematics, statistics & operations research.
• Deep learning.
• Machine learning.
• Trust, bias and ethics.
• Creative thinking.
• Critical thinking.

Advanced level of proficiency:

• Big data.
• Data visualization.
• Computational thinking and programming.
• Data wrangling.
• Data preprocessing.
• Creative reasoning.
• Verbal & written communication skills.
• Collaboration & team skills.
• Analytical and problem solving skills.
• Influence skills.
• Data driven decision making.
• Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Deep knowledge and technical proficiency gained through extensive education and business experience.

Salary:

$81,600.00 - $151,200.00

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 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.