Credit Risk Technology Senior Manager
Line of Service Assurance Industry/Sector Not Applicable Specialism Financial Risk Management Level Senior Manager Job Description & Summary Join a dynamic team of talented risk professionals who are at the forefront of transforming how organizations navigate today’s most critical challenges across key and emerging risk landscapes.
In our Financial Services Risk and Regulatory Advisory practice, you’ll have the unparalleled opportunity to shape innovative solutions that tackle complex problems and drive meaningful business outcomes for leading financial institutions. We are seeking a Senior Manager with a specialized credit risk technology background to join our Financial Services Risk & Regulatory Advisory practice.
This role sits at the intersection of quantitative credit risk modeling and modern technology, acting as the bridge between credit risk modelers who design and validate credit risk models and the platforms and infrastructure that operationalize them.
The successful candidate will lead the design, delivery, and modernization of credit risk technology and modeling programs for Canadian banks and financial institutions, with a strong emphasis on production resilience, data quality, model governance, and OSFI aligned regulatory expectations.
The Opportunity: As a Credit Risk Technology Senior 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: Lead client engagements focused on credit risk technology and credit risk model modernization, spanning model development, validation, deployment, and monitoring, from requirements through go live Advise on the full credit risk model lifecycle, including PD, LGD, EAD, provisioning and ECL, stress testing, and scoring and decisioning models Design and implement scalable, production grade data and modeling architectures that support credit risk model calculation, reconciliation, and reporting Ensure reconciliation between data domains and safeguard data quality, timeliness, and lineage in line with OSFI expectations Architect and oversee production grade data pipelines and model operationalization across a range of platforms, which may include credit decisioning and scoring platforms (for example, FICO , Moodys ), cloud data and analytics platforms (for example, Databricks, Google Cloud, Microsoft Azure, AWS), and statistical and modeling environments (for example, SAS, Python, R) Advise clients on platform selection and integration based on their existing technology landscape rather than a single vendor solution Address operational challenges including late arriving data, production failures, recovery processes, and end to end data and model lineage and audit trails Implement robust model governance, access controls, and controls to meet regulatory and audit requirements Act as a strategic advisor and thought leader, translating complex model architecture and technology into clear insights for non-technical risk executives Critically assess client credit risk, model, and technology landscapes to identify mitigation opportunities and craft innovative, customized solutions What You'll Bring Your skills, knowledge, and experiences are what set you apart.
Here's what we look for: Demonstrated experience delivering credit risk technology and credit risk model programs, ideally within a technology team, a technology Hands on experience across one or more credit risk and analytics platforms, such as FICO, Moodys, Databricks, Google Cloud, Microsoft Azure, AWS or SAS Proficiency with modern data engineering and modeling tools and languages, such as Python, R, SQL, PySpark , and Spark Deep knowledge of credit risk methodology and credit risk models (for example, PD, LGD, EAD, provisioning and ECL, scoring, and stress testing) and their operational implementation Data Pipeline and Model Engineering: Building resilient, production grade pipelines and model deployment processes, and handling late arriving data Operational Resilience: Experience with production failures and recovery processes Communication: Ability to explain complex model and technology architecture to non-technical risk executives Strong business acumen, problem solving, report writing, and stakeholder engagement skills Strong leadership and team management capabilities A commitment to continuous professional learning to remain at the forefront of regulatory and technology developments This position ensures continuity and upholds our standards of excellence following the departure of a valued team member.
The salary range for this position is $147,300 - $197,300. 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. 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.
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, Analytical Thinking, Anti-Bribery, Anti-Money Laundering Compliance, Business Ethics, Coaching and Feedback, Code of Ethics, Communication, Compliance and Governance, Compliance and Standards, Compliance Auditing, Compliance Frameworks, Compliance Program Implementation, Compliance Reporting, Compliance Review, Compliance Risk Assessment, Compliance Training, Controls Compliance, Creativity, Cybersecurity Risk Management, Data Analysis and Interpretation, Data Protection Management (DPM), Disability Support {+ 38 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship?
No Government Clearance Required? No Job Posting End Date 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).
Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.
L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience.
Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues.
Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes.
Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).