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Role (Title): Senior Manager, Counterparty Credit Risk Analytics

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