Application Deadline: 11/29/2026

Address: 250 Yonge Street

Job Family Group: Data Analytics & Reporting

Role Summary The Senior Manager, CCR Analytics leads a team in 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 current 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

📌 Senior Manager, Counterparty Credit Risk Analytics (Winnipeg)
🏢 BMO
📍 Winnipeg