A career in our Financial Services Risk & Regulatory Group - Financial Risk Management 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 AI/ML/GenAI modeling for financial institutions.
Meaningful work you’ll be part of
As a Credit Risk Modelling Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities include but are not limited to:
Model development, validation, internal audit of Retail and Wholesale credit risk methodologies including obligor and facility risk rating, Basel regulatory capital and economic capital models, allowance for loan and lease loss models (e.g., IFRS9). Assist assurance teams with reviews of clients’ model development and validation processes
Artificial Intelligence (AI)/machine learning (ML)/Generative AI (GenAI) model development and validation
Model risk governance and controls related activities supporting clients in managing model risk across multiple asset classes
Collaborate with the 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 solution on the topics such as Machine Learning, GenAI and climate risk modeling, etc.
Build and maintain effective, trusting and collaborative client relationships
Experiences and skills you’ll use to solve
Proficient experience and exposure to financial services risk practices, credit risk modeling including retail and wholesale credit modeling techniques for adjudication, capital management, and allowance modeling/ or calculations (e.g. IFRS9)
Development, validation and assessment of quantitative credit risk measurement methodologies
Proficient experience and exposure to AI/ML modeling, including theoretical approach and related technology and platforms; significant experience and proven ability in at least one of the main AI platforms: Vertex AI, Azure AI, etc. is preferred
Solid understanding and knowledge of credit risk processes, credit risk analytics, risk rating methodologies, risk management policies and risk management organization structures
Significant experience and proven ability in at least one of the following programming languages/software: Python, R, SQL, SAS, C++, etc.
Master’s degree in Statistics, Mathematics, Physics, Engineering, Financial Engineering, Data Science or other relevant fields
PRM, FRM or CFA designation 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
Strong writing skills demonstrated through the ability to draft proposals, reports, presentations, etc.
Strong verbal and written communication skills demonstrated through interactions with other teams/team members at all levels
Demonstrated ability to manage and prioritize multiple projects
PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer
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 $73,400 - $122,400. 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.
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. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc
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.
We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.
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).
