Credit Risk Manager

PwC Canada; Toronto; On-site; CAD 98,000 - 148,000; Full time

Job summary

PwC Canada is seeking a Credit Risk Manager to help financial institutions rethink risk through development and validation of credit risk models, including IFRS9 and Basel methodologies. The role emphasizes collaboration across lines of business, with opportunities to explore AI/ML-driven risk solutions and cloud transformation.

You will lead project execution, coach colleagues, and contribute to thought leadership while building strong client relationships and delivering measurable outcomes.

Qualifications

• Hands-on experience in a financial services risk department or professional services firm with credit risk modeling.
• Experience using retail and wholesale credit modeling techniques for adjudication, risk management and ECL/IFRS9.
• Development, implementation and assessment of quantitative credit risk measurement methodologies.
• Advanced analytical, problem solving and multitasking/project management skills.
• Exposure to AI/ML modeling and platforms (Vertex AI, Azure AI, etc.).
• Experience building GenAI and agentic AI tools with risk management implications.

Responsibilities

• Lead execution of credit risk projects, including model development, validation, and Basel/IFRS9 related work.
• Collaborate with business lines to develop new service offerings involving AI/ML and cloud migration.
• Develop client proposals, white papers, and thought leadership to articulate business challenges and solutions.
• Coach team members during project delivery and career development.
• Build and maintain trusted client relationships and manage stakeholder expectations.

Skills

Python

R

SQL

SAS

C++

English communication

Credit risk modeling

GenAI / AIML modeling

Project management

Team coaching

Education

Post secondary degree in Economics, Statistics, Mathematics, Physics, Engineering, Financial Engineering

Job description

A career in our Financial Services Risk & Regulatory Credit Risk Modelling practice will provide you with the opportunity to help financial institutions rethink their approach to risk by developing a distinctive strategy and creating capabilities and performance. We play an important part in helping our clients assess, design and develop solutions that not only help them manage risk but also transform risk and complexity into a sustainable advantage. Our team helps financial institutions with predictive modeling needs, including but not limited to, measure and manage the risk associated with borrowers, counterparties or other third parties who have a financial or contractual commitment to them, expected credit loss measurement (IFRS9 and CECL), capital measurement/stress testing. As part of the team, you’ll help with credit risk modeling, model risk management as well as climate risk modeling for financial institutions.

The Opportunity

As a Credit Risk Manager, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t limited to:

• Leading the execution of credit risk projects, such as model development, validation, internal audit and implementation of credit risk methodologies including but not limited to obligor and facility risk rating, Basel regulatory capital, economic capital, and stress testing models, allowance for loan and lease loss models (e.g., IFRS9). Assist assurance teams with reviews of clients’ model development and validation processes
• Collaborating with different lines of business to develop new service offerings such as artificial intelligence/machine learning model risk management, cloud migration and technology transformation
• Collaborating with team members at various levels to lead and develop compelling client proposals, white papers, thought leadership and points of view, describing the business challenge and proposed business solutions
• Developing GenAI and agentic AI tools and solutions to deliver enhanced client experiences and internal productivity
• Provide coaching to team members during project execution as well as career development
• Build and maintain effective, trusting and collaborative client relationships

What You’ll Bring

• Excellent oral and written communication skills in English. Ability to converse with a wide range of stakeholders to explain complex concepts in easy-to-follow terms
• Hands on experience in a financial services risk department or professional services firm with credit risk modeling
• Experience using Retail and Wholesale credit modeling techniques for adjudication, risk management, capital management and allowance calculations (e.g. IFRS9)
• Development, implementation and assessment of quantitative credit risk measurement methodologies
• Post secondary degree in Economics, Statistics, Mathematics, Physics, Engineering, Financial Engineering or other relevant fields
• Advanced analytical, problem solving and multitasking/project management skills
• Advanced understanding and knowledge of credit risk processes, credit risk analytics, risk rating methodologies, risk management policies and risk management organization structures
• Exposure to a wide range of retail (consumer and small business) and commercial lending products and processes (such as commercial & industrial loans, commercial real estate, asset-based lending, project finance, leasing, etc.) would be an asset
• Experience and exposure to AI/ML modeling, including theoretical approach and related technology and platforms (such as Vertex AI, Azure AI, etc.) would be an asset
• Experience and exposure to developing GenAI and agentic AI tools and solutions, and related risk management across the GenAI lifecycle would be an asset
• Proven abilities, especially creative problem-solving, to utilize credit risk management software, data and methodology in the completion of client engagements, including leveraging related technology vendors and their application. Creative thinking is an asset
• Exceptional commitment to providing excellent client service, by building and maintaining productive relationships with both internal and external clients
• Significant experience and proven ability in at least one of the following programming languages/software: Python, R, SQL, SAS, C++, etc.
• A demonstrated commitment to valuing differences, developing and coaching diverse teams, and ensuring diverse perspectives are heard

This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

The salary range for this position is $97,800 - $147,800. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Why you’ll love PwC

We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life.

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).

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