Senior Manager, Counterparty Credit Risk Analytics
Final date to receive applications: 08/30/2026
Address: 250 Yonge Street
Job Family Group:
Data Analytics & Reporting
Role (Title):
Senior Manager, Counter party Credit Risk Analytics
Group/LOB:
Market Risk
Location (City): 250 Yonge Street, Toronto
Start Date:
ASAP
End Date:
Job Type: Mode:
Hybrid
The Senior Manager, CCR Analytics leads the design, implementation, and oversight of counter party 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 ResponsibilitiesCCR 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
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)
Risk Insights & Business Support
Provide analytics and insights to trading desks and portfolio managers on counter party 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
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
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
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
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
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
- 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…
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