Senior Model Risk Specialist, Anti Money Laundering & Fraud at Bank of Montreal

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

141900.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Model Validation, AML, Fraud, Risk Management, Data Mining, Machine Learning, Statistical Analysis, Regulatory Requirements, Python, SAS, R, SQL, Matlab, Access/VBA, Conflict-Solving, Presentation Skills

Industry

Financial Services

Description

Application Deadline: 02/25/2026 Address: 100 King Street West Job Family Group: Audit, Risk & Compliance Mandate Assist the Senior Manager and Director of the AML & Fraud Model Validation (MV) team with enterprise-wide management of model risk so that the bank is not subject to unjustified (in a risk vs. return framework), undue, and unidentified risks due to the use of models and promoting the transparency and understanding of models and model risks used across the Bank in AML & Fraud areas. The mandate of this position is summarized as follows: • Effectively identify risks associated with models; timely, accurately and independently assess models used in the areas of responsibility; and tactfully provide the recommendations to model owners and users to mitigate the risks • Assist the Senior Manager to develop/continuously enhance model validation methodology; and conduct validation • Ensure that the models (development, documentation, usage, etc.) in AML & Fraud areas are compliant with the Bank’s Enterprise Model Risk Framework, and are compliant with OSFI/FRB/OCC’s requirement • Provide advisory support to large-scale projects as required and other work streams as appropriate and requested to ensure that bank’s models are in line with industry best practice • Support the Senior Manager in the development and execution of overall work plan Knowledge and Skills Knowledge: Hands-on experience and advanced knowledge in AML or Fraud models (transaction monitoring, Watchlist Screening, Customer Risk Rating, credit card fraud, mar) etc. Good knowledge and relevant training in data mining, machine learning, and statistical analysis techniques, with minimal 3 years of demonstrated experience pertaining to AML/Fraud or machine learning/statistical modeling. In-depth knowledge of industry best practices; Good knowledge of regulatory requirements on AML models; experience in regulatory matters as an asset Minimum: Master’s Degree, PhD. preferred in a quantitative field e.g., Mathematics, Computer Science, Statistics and Engineering. AML Designation such as CAMS, ACAMS preferred Skills: Detail-oriented, analytical, well organized, highly self-motivated and good interpersonal skills Effective time management in order to efficiently deliver concurrent projects with competing priorities Good ability of conflict-solving; and ability to collaboratively work with model owner/sponsor counterparts Effective presentation and communication skills; Ability to convey complex concepts and outcomes to non-subject matter experts. Proficiency in computing development skills, particularly statistical and database modeling tools (Python, SAS, R, SQL, Matlab, Access/VBA etc.). Ability to adapt to various programming languages and environments. Advanced SAS proficiency is required Job Descriptions Model Validation (75%) Support senior managers in the development and execution of overall work plan Manage assigned validation/review projects and ensure a timely delivery of the validation report with high quality. Support senior managers in the on-going monitoring of AML and Fraud models to identify early warning of model performance deterioration and ensure proper mitigation/action plan in place in such situations; Perform research and analysis of applicable methodologies; benchmark model owners’ approaches; and present and recommend appropriate alternative for model developers; Produce validation reports, with clarify of issues and actionable items, including recommendations, to help the lines of business enhance the validated model Ensure model inventory is accurate and up-to-date, reflecting the model attributes as evidenced in relevant documentations. Provide regular updates on the assigned vetting/review, including a regular review of models/methodologies implemented and ensure that high model risk issues are raised and addressed at appropriate management level Keep abreast with advances in credit risk analytics developments and applications by vendors, consultants, regulatory agencies and competitors. Recommend/develop enhancements appropriate for the Bank Relationship Management (5%) Partner with the lines of business, corporate functions, and ERPM to enhance understanding of model risks relating to Corporate Risk models and ensure transparency of models used in their respective areas Build and manage relationships with the line of business/risk managers/executives in the joint implementation of strategic changes in the business by assisting model development via parallel-to-development model risk consulting. Act as internal consultant to proactively help the lines of business manage its’ model risk Provide support to large-scale projects as required and subject matter advisory support to other work streams as appropriate Develop relationships with other financial institutions; provide ongoing peer benchmarking support Managerial Leadership (5%) Support the Senior Manager to continuously provide training to (internal or external) junior resources on model risk and/or validation related matters. Governance (5%) Communicate model risk issues to the lines of business to ensure identified model risks are well understood and appropriate model risk mitigation actions implemented, escalating where necessary to the Senior Manager. Assist the Senior Manager to ensure all models covered by the team meet the requirement of the Enterprise Model Risk Management Framework, Assist the Senior Manager to ensure all models covered by the team are vetted and approved or issued an exception based on quality assurance to protect the bank from unjustified, undue, and unidentified risks due to the use of the models Assist the Senior Manager and work with Model Governance to ensure all AML models conditions are monitored and communicated with model owners on a timely basis to ensure the conditions are fulfilled in time. Operational (5%) Assist the Senior Manager to ensure regular review process is followed, model conditions are monitored and fulfillment of conditions are assess on a timely basis Support the Senior Manager for the optimal operation of the team, including identifying and implementing improvements to work, processes, and systems to ensure operational effectiveness and compliance with all bank and external regulatory, corporate policy, and governance requirements Salary: $75,900.00 - $141,900.00 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.

Responsibilities

This role involves assisting senior management with enterprise-wide management of model risk in AML & Fraud areas, including independently assessing models, providing recommendations to mitigate risks, and developing/enhancing model validation methodology. The specialist will also ensure models comply with the Bank’s Enterprise Model Risk Framework and regulatory requirements.