Credit Risk Manager
PwC is hiring a Credit Risk Manager in Toronto, Canada. It pays $98k-$148k a year and Level rates it ; you can apply on PwC.
Level's read on this job
- Level rates this role Works on AI โโโโ: the daily work is on AI products, without building the model.
- The posting mentions visa sponsorship.
- The posting mentions Vertex AI, GenAI and credit risk among its tools and skills.
- PwC has 3,700+ other open roles on Level.
AI in this role
Lead credit risk modeling projects while developing GenAI and agentic AI solutions for financial services clients.
Line of Service
AssuranceIndustry/Sector
Not ApplicableSpecialism
Financial RiskManagement Level
ManagerJob Description & Summary
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, youโll 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 thatโll elevate your career. Your role will include, but isnโt 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 clientsโ 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
Your skills, knowledge, and experiences are what set you apart. Here's what we look for:
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 youโll love PwC
Weโre inspiring and empowering our people to change the world. Powered by the latest technology, youโll 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, Mรฉtis 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.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Actuarial Science, Analytical Thinking, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Embracing Change, Emotional Regulation, Empathy, Financial Data Mining, Financial Modeling, Financial Risk Analysis, Financial Risk Management, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Presenting Financial Reports, Professional Courage, Relationship Building, Risk Analysis, Risk Model Implementation {+ 8 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
Weโre 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).Nous tenons ร rรฉpondre ร vos besoins tout au long du processus de demande dโemploi, dโentrevue et dโembauche. Si vous avez besoin de mesures dโadaptation pour รชtre parfaitement ร lโaise, faites-le-nous savoir ร lโรฉtape de la demande dโemploi.Lโutilisation de lโintelligence artificielle (IA) dans le domaine du recrutement en est ร ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. ร certains stades de notre processus de recrutement, nous comptons sur lโIA pour amรฉliorer votre expรฉrience. Par exemple, pendant lโexamen du curriculum vitรฆ ou lโรฉlaboration dโune liste de recommandations personnalisรฉes, un agent conversationnel pourrait vous demander des prรฉcisions ou fixer avec vous un rendez-vous pour lโentrevue. LโIA nous aide ร mieux lutter contre les prรฉjugรฉs, car lโรฉvaluation des candidats se fait de faรงon juste et รฉquitable, sans que les informations dโidentification comme le nom ou le sexe soient connues. Elle nous permet รฉgalement de mieux repรฉrer les bons candidats pour un poste et dโรฉvaluer le lien entre leurs compรฉtences, leur expรฉrience et leurs chances de rรฉussir chez PwC Canada. Bien que lโIA facilite certaines รฉtapes de notre processus de recrutement, les dรฉcisions finales dโembauche sont toujours prises par des personnes. Pour en savoir plus sur lโutilisation et la protection de vos donnรฉes personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).How we rate this
Credit Risk Manager at PwC rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- โโโโ Builds AI80 to 100
- โโโโ Works on AI60 to 79
- โโโโ Uses AI40 to 59
- โโโโ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where credit risk was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where predictive modeling was part of your work. What did you do?
- Tell me about a project where model validation was part of your work. What did you do?
- Tell me about a project where regulatory compliance was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Credit Risk, Risk Management, Predictive Modeling, Model Validation, and Regulatory Compliance. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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