Senior Manager, Risk Modeling and Analytics

at  BMO Financial Group

100 King Street West Toronto Ontario,M5X 1A1
This role is expected to lead credit loss allowance (IFRS9/CECL) modeling and analytics activities within Credit Risk Modeling function. Responsibilities include but not limited to, model development, model performance monitoring, implementation requirements, undertake assessment of expected outcomes, and provide support for critical business processes and/or decisions often under considerable time pressure. The role plays a core role in managing the corresponding regulatory interactions. Additionally, this individual will co-lead retail IFRS9/CECL model life cycle and provide ongoing support to the allowance process including the decomposition of ECL changes into growth, macroeconomic changes, and other factors.

Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Through quantitative analytical modelling, identifies important factors to consider for financial disaster and recovery plans. Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

• Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans.
• Monitors risk in strategies and portfolios alongside project managers or functional leads.
• Conducts research and develops tools that use data to make better financial decisions; such as: investments, pricing, etc.
• Applies knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.
• Identifies ways of mitigating potential risks; recommends and implements solutions based on analysis of issues and implications for the business.
• Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
• Conducts quantitative research in risks across strategies and portfolios.
• Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
• Ensures alignment between values and behaviour that fosters diversity and inclusion.
• Regularly connects work to BMO’s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
• Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
• Attracts, retains, and enables the career development of top talent.
• Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
• Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
• Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
• Implements changes in response to shifting trends.
• Broader work or accountabilities may be assigned as needed.

QUALIFICATIONS:

Intermediate level of proficiency:

• Regulatory capital and stress testing.
• Compliance and regulation.
• Machine learning.
• Learning Agility.
• Systems Thinking.

Advanced level of proficiency:

• Model risk management.
• Data visualization.
• Data wrangling.
• Data preprocessing.
• Critical thinking.
• Driving Results.
• Quantitative financial modeling.
• Computational thinking and programming.
• Verbal & written communication skills.
• Analytical and problem solving skills.
• Collaboration & team skills; with a focus on cross-group collaboration.
• Able to manage ambiguity.
• Data driven decision making.
• Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Seasoned professional with a combination of education, experience and industry knowledge.
• SAS and Python.
• IFRS9 and CECL.

Please refer the Job description for details