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. As a Credit Risk Manager, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. 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., Collaborating with different lines of business to develop recent service offerings such as artificial intelligence/machine learning model risk management, cloud migration and technology transformation Provide coaching to team members during project execution as well as career development Excellent oral and written communication skills in English.





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. 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 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 Given our national recruiting approach, ranges may vary for positions in other locations. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes.

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. 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.

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. For more information about our use and protection of your data, please refer to our Privacy Policy (

📌 Senior Credit Risk Manager (Toronto)
🏢 PwC Canada
📍 Toronto