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Quantitative Risk Manager information
See Ontario salary details
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The median wage is $126.1K / yr.
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$32K
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What is the difference between Quantitative Risk Manager vs Quantitative Analyst?
| Aspect | Quantitative Risk Manager | Quantitative Analyst |
|---|---|---|
| Primary Focus | Assessing and managing risk exposure across financial portfolios | Developing models and algorithms for investment strategies |
| Required Credentials | Advanced degrees in finance, mathematics, or related fields; certifications like FRM or CFA | Degrees in finance, mathematics, or statistics; often pursuing CFA or similar |
| Work Environment | Financial institutions, risk management departments | Investment firms, hedge funds, banks |
| Key Skills | Risk assessment, regulatory knowledge, quantitative modeling | Data analysis, programming, financial modeling |
While both roles involve quantitative skills and financial knowledge, Quantitative Risk Managers focus on identifying and mitigating risks within organizations, whereas Quantitative Analysts primarily develop models to inform investment decisions. Understanding these differences helps professionals choose the right career path or job search focus.
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Full-time
Medical, Life, Retirement
Re-posted 17 days ago
Job description
Application Deadline:
Address:
250 Yonge StreetJob Family Group:
Role (Title): Senior Manager, Counterparty Credit Risk Analytics
Group/LOB: Market Risk
Location (City): 250 Yonge Street, Toronto
Start Date: ASAP
End Date:
Job Type:
Mode: Hybrid
Role Summary
The Senior Manager, CCR Analytics leads the design, implementation, and oversight of counterparty credit risk measurement and analytics. The role focuses on delivering robust exposure methodologies (PFE, Settlement, stress), ensuring model usage integrity, and providing actionable insights to trading desks, risk oversight, and senior management.
This role combines advanced quantitative expertise with leadership responsibilities, ensuring that CCR analytics frameworks are accurate, scalable, and aligned with regulatory expectations.
Key Responsibilities
1. CCR Analytics & Exposure Measurement
- Lead the calculation, validation, and analysis of CCR metrics including:
- Potential Future Exposure (PFE)
- Settlement
- Mark to Market (MTM)
- Stress and scenario-based exposures
- Oversee treatment of complex/non-standard trades and ensure appropriate modeling of exposures
- Identify weaknesses in pricing models and exposure methodologies; propose and implement improvements
2. Methodology & Model Usage Governance
- Ensure appropriate application of CCR models and methodologies across portfolios
- Partner with model development and validation teams on:
- Model enhancements
- Performance monitoring
- Regulatory model reviews
- Provide subject matter expertise on CCR methodologies (netting, collateral, margining, wrong-way risk)
3. Risk Insights & Business Support
- Provide analytics and insights to trading desks and portfolio managers on counterparty exposures, concentrations, and sensitivities
- Analyze drivers of exposure changes (market moves, trades, collateral) and communicate implications clearly
- Support business decisions including:
- Limit setting and utilization analysis
- Optimize trading PnL within risk appetite
- Support new initiatives such as new product or feature by analyzing impact to CCR and providing insight into mitigating them
4. Regulatory & Stress Testing Deliverables
- Lead CCR analytics inputs into:
- Regulatory reporting
- Stress testing frameworks and scenario design
- Deliver high-quality analytics supporting regulatory exams and internal governance reviews
5. Data, Controls & Analytics Quality
- Ensure integrity and reconciliation of exposure data across systems
- Implement controls around:
- Input data quality
- Model outputs and reconciliations
- Exception handling and escalation
- Data Timeliness and system performance
- Work closely with infrastructure teams to enhance data pipelines and analytics performance
6. Automation & Advanced Analytics
- Drive automation of CCR analytics processes (data ingestion, calculations, reporting)
- Leverage Python/SQL or similar tools to:
- Build analytical tools
- Perform deep-dive analysis and scenario simulations
- Promote efficient, scalable analytics processes to support growing portfolios
7. Stakeholder Management
- Liaise with:
- Trading desks (rates, FX, credit, commodities)
- Market Risk Oversight and Credit Risk teams
- Model development/validation and technology teams
- Ensure clear understanding of CCR exposures and methodologies across stakeholders
8. Team Leadership
- Lead and mentor a team of CCR analysts/quantitative specialists
- Provide technical guidance on exposure methodologies and analytics
- Manage delivery timelines for BAU and regulatory commitments
Qualifications & Skills
Education
- MSc or equivalent in Quantitative Finance, Mathematics, Statistics, Engineering, or related field
- Nice to have: CFA or FRM
Experience
- 7-10 years in CCR analytics, market risk, or quantitative risk roles
- Strong experience with exposure metrics (PFE, CVA, EE) and financial products (Derivatives and Security Financing Transactions)
- Experience supporting regulatory deliverables and/or stress testing
Technical Skills
- Deep knowledge of:
- Derivative pricing and exposure modeling
- Netting, collateral, CSA mechanics
- CCR regulatory frameworks (Basel / OSFI / Fed)
- Programming skills (Python/SQL preferred) for analytics and automation
- Familiarity with risk engines (e.g., Adaptiv or similar platforms)
- Familiarity with managing daily operations for risk or trading systems
Soft Skills
- Strong analytical and critical thinking skills
- Ability to translate complex analytics into business insights
- Effective communication across technical and non-technical stakeholders
- Proven leadership and team management capability
Role Impact
- Drives accuracy and robustness of CCR exposure measurement
- Influences:
- Risk appetite and limit decisions
- Pricing and trading strategies (via exposure and CVA insights)
- Regulatory capital and stress testing outcomes
- Acts as a key bridge between quantitative modeling, risk oversight, and business decision-making
Salary:
Pay Type:
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.