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CIBC

Director, Counterparty Credit Risk Methodology

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 7, 2026
Posting language: English
Posted: Sep 22, 2026

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Original job description

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you'll be doing

The Risk Management Systems and Quantitative Risk group within Capital Markets Risk Management (CMRM) is responsible for strengthening the methodologies, models, and analytical solutions that support effective counterparty credit risk measurement. As the Director, Counterparty Credit Risk Methodology, you'll report to the Senior Director, Counterparty Credit Risk Methodology and play a key role in the development, enhancement, implementation, and governance of counterparty credit risk methodologies and supporting risk measurement solutions. You'll help advance capabilities used for counterparty trading limit monitoring, exposure measurement, and regulatory capital, while ensuring alignment with business objectives, governance standards, and regulatory expectations. In this role, you'll partner closely with teams across Front Office, Risk, Technology, Model Validation, Finance, and other stakeholder groups to maintain a strong risk measurement framework and control environment. You'll bring strong quantitative expertise, hands-on technical capability, and the ability to lead complex initiatives across multiple teams. Depending on team structure, this role may also include direct people leadership and coaching responsibilities.

At CIBC we enable the work environment most optimal for you to thrive in your role. You'll have the flexibility to manage your work activities within a hybrid work arrangement where you'll spend 2-3 days per week on-site, while other days will be remote.

How you'll succeed

Deliver quantitative solutions - Lead the design, development, enhancement, and implementation of methodologies and models used for counterparty credit risk measurement, derivatives exposure analytics, trading limit monitoring, and regulatory capital. Ensure methodologies are analytically sound, fit for purpose, and responsive to business and regulatory change.
Strengthen governance - Manage the full model and methodology lifecycle, including development, testing, implementation, documentation, performance monitoring, recalibration, remediation, and ongoing review. Ensure deliverables meet internal governance standards, model risk management requirements, and regulatory expectations.
Drive complex initiatives - Lead cross-functional workstreams to enhance methodologies, improve analytical infrastructure, and strengthen risk measurement capabilities. Coordinate across teams to assess impacts, resolve dependencies, and deliver high-quality outcomes on time.
Partner across the business - Build strong relationships with stakeholders across Capital Markets, Risk Management, Technology, Finance, Model Validation, Audit, and Compliance. Work across functional boundaries to support business priorities, regulatory commitments, and strategic objectives.
Communicate with impact - Translate complex quantitative concepts, methodology decisions, and model-related risks into clear, concise, and actionable insights for a range of audiences, including senior leadership and governance forums.
Support team success - Apply strong programming and analytical skills to support model development, prototyping, testing, process improvements, and analytical tooling. Where applicable, provide coaching, mentorship, and day-to-day guidance to junior team members to help build a collaborative, accountable, and high-performing team environment.

Who you are

You have deep quantitative expertise. You have an advanced degree such as a Master's or PhD in a quantitative field including mathematics, statistics, financial engineering, economics, physics, or a related discipline. You have strong knowledge of derivatives pricing, valuation, exposure measurement, and counterparty credit risk methodologies.
You have strong programming skills. You can effectively use coding to solve complex quantitative problems, automate analysis, and streamline analytical workflows. Proficiency in Python is required; experience with C# and Object-Oriented Programming is a strong asset.
You bring relevant experience. You have 5+ years of experience in quantitative risk modeling, counterparty credit risk methodology, or a related quantitative risk function, ideally within Capital Markets Risk or a similar environment.
You understand model governance. You have experience supporting or leading model development, testing, implementation, and performance monitoring, with familiarity with model governance and control frameworks.
You're an effective communicator and collaborator. You can explain complex technical concepts clearly and confidently to both technical and non-technical stakeholders, while managing multiple priorities and interdependent deliverables across teams.
You are a caring and accountable leader. You have experience developing and implementing strategic team goals. You have experience coaching employees and inspiring successful team performance.
Values matter to you. You bring your real self to work and live our values - trust, teamwork, and accountability.

#L1-TA

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact [email protected]
CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.
We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).
We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-81 Bay, 29th Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Agentic Design, C# Scripting, Counterparty Credit Risk (CCR), Machine Learning (ML), People Management, Python (Programming Language), Risk Models, Stress Testing

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More about this job

Responsibilities

Lead the design, development, and implementation of methodologies and models for counterparty credit risk measurement and regulatory capital. Manage the full model lifecycle while partnering with cross-functional teams to ensure governance and regulatory compliance.

Requirements

Requires an advanced degree such as a Master's or PhD in a quantitative field and at least 5 years of experience in quantitative risk modeling. Proficiency in Python is mandatory, with strong knowledge of derivatives pricing and model governance frameworks.

Skills

Counterparty credit risk
Quantitative risk modeling
Derivatives pricing
Python
C#
Object-oriented programming
Model governance
Risk measurement
Regulatory capital
Trading limit monitoring
Financial engineering
Statistics
Mathematics
Data analysis
People management
Stakeholder management

Benefits

Competitive salary
Incentive pay
Banking benefits
Benefits program
Defined benefit pension plan
Employee share purchase plan
Vacation offering
Wellbeing support
MomentMakers recognition program
Purpose Day

Visa sponsorship

Not detected in the job text

Keywords

Counterparty Credit Risk
Quantitative Risk Modeling
Derivatives
Python
C#
Model Governance
Regulatory Capital
Risk Management
Capital Markets
Financial Engineering
Statistics
Mathematics
Object-Oriented Programming
Exposure Measurement
Trading Limits
Model Validation
Risk Measurement Framework
Analytical Solutions
Performance Monitoring
Quantitative Expertise

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