Manager - Risk Modeling and Analytics

100 King Street West Toronto Ontario,M5X 1A1

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.
- 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**:
Foundational level of proficiency:

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

Intermediate level of proficiency:

- Model risk management.
- Data visualization.
- Data wrangling.
- Data preprocessing.
- Critical thinking.
- Driving Results.
- Verbal & written communication skills.
- Collaboration & team skills.
- Analytical and problem solving skills.
- Data driven decision making.

Advanced level of proficiency:

- Quantitative financial modeling.
- Computational thinking and programming.
- 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.

**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.