Senior Analyst, Risk Modeling and Analytics (Hybrid)

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. + Exercises judgment to identify, diagnose, and solve problems within given rules. + Works independently on a range of complex tasks, which may include unique situations. + Broader work or accountabilities may be assigned as needed. **Qualifications:** Foundational level of proficiency: + IFRS9 and CECL + Regulatory capital and stress testing. + Compliance and regulation. + Machine learning. + Learning Agility. + Systems Thinking. + Model risk management. + Data visualization. + Data wrangling. + Data preprocessing. + Critical thinking. + Driving Results. + Python/PySpark/SAS Intermediate level of proficiency: + Quantitative financial modeling. + Computational thinking and programming. + Verbal & written communication skills. + Collaboration & team skills. + Analytical and problem solving skills. + Data driven decision making. + Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience. + Technical proficiency gained through education and/or business experience. **Salary:** $67,200.00 - $124,800.00 **Pay Type:** Salaried The above represents BMO Financial Groups 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 Groups expected target for the first year in this position. BMO Financial Groups 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: **Were here to help** 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. Well 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, well help you gain valuable experience, and broaden your skillset. To find out more visit us at BMO is committed to an inclusive, equitable and accessible workplace. By learning from each others differences, we gain strength through our people and our perspectives. BMO is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. 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.

Created: 2024-10-28