Senior Manager, Strategic Initiatives, Credit Risk Models

BMO•Toronto, ON

4d•Onsite

About The Position

This individual contributor role will be accountable for delivering on Credit Risk Models projects and initiatives with transverse features (relating to multiple model families) best anchored outside a specific modeling team. A broad perspective on and knowledge of credit risk modeling (including all aspects of the model life cycle) and associated analytics will be required, as will familiarity with the various oversight and controls processes that modeling teams work with (e.g., model risk, internal and external audit, regulators). The role is expected to involve both qualitative and quantitative analytics and will require the successful candidate to work with a broad range of stakeholders at various levels of seniority. Creativity, determination, and the ability to deal with ambiguity and challenge will be essential for success. 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. 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.

Requirements

Intermediate level of proficiency: Regulatory capital and stress testing.
Intermediate level of proficiency: Compliance and regulation.
Intermediate level of proficiency: Machine learning.
Intermediate level of proficiency: Learning Agility.
Intermediate level of proficiency: Systems Thinking.
Advanced level of proficiency: Model risk management.
Advanced level of proficiency: Data visualization.
Advanced level of proficiency: Data wrangling.
Advanced level of proficiency: Data preprocessing.
Advanced level of proficiency: Critical thinking.
Advanced level of proficiency: Driving Results.
Advanced level of proficiency: Quantitative financial modeling.
Advanced level of proficiency: Computational thinking and programming.
Advanced level of proficiency: Verbal & written communication skills.
Advanced level of proficiency: Analytical and problem solving skills.
Advanced level of proficiency: 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.
Data driven decision making - In-depth / Expert.

Responsibilities

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.
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.