Credit Tech senior Manager

Socket.dev; Toronto; On-site; CAD 140,000 - 210,000; Full time

Job summary

PwC Canada is seeking a Senior Manager in Actuarial Services to lead credit risk technology engagements, drive model modernization, and shape scalable data architectures across platforms.

You will advise on PD, LGD, EAD, provisioning and ECL, and help implement governance, data lineage, and production deployments. Strong leadership and communication are essential in a risk-focused client environment.

Qualifications

• Demonstrated experience delivering credit risk technology and model programs.
• Hands-on experience across credit risk platforms (FICO, Moody's, Databricks, cloud platforms, SAS).
• Proficiency with Python, R, SQL, PySpark, and Spark.
• Deep knowledge of PD, LGD, EAD, provisioning and ECL, scoring and stress testing.
• Data pipeline and model engineering for production deployments.

Responsibilities

• Lead client engagements focused on credit risk technology and credit risk model modernization, from requirement 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 per OSFI expectations.
• Architect and oversee production-grade data pipelines and model deployment across platforms (e.g., FICO, Moody's, Databricks, cloud platforms, SAS, Python/R).
• Advise clients on platform selection and integration based on their existing technology landscape.
• Address operational challenges including late arriving data, production failures, and end-to-end data/model lineage and audit trails.
• Implement robust model governance and access controls to meet regulatory and audit requirements.
• Act as a strategic advisor translating complex model architecture to non-technical risk executives.
• Critically assess client credit risk, model and technology landscapes to identify mitigation opportunities.

Skills

Credit risk tech

Credit risk models

Python

SQL

Data pipelines

Cloud platforms

Leadership

Stakeholder mgmt

Communication

Risk governance

Tools

FICO

Moody's

Databricks

Google Cloud

Azure

AWS

SAS

Python

R

Job description

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Actuarial Services

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively.

In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks.

The Opportunity:

AsaCredit Risk TechnologySenior Manager,unlock your potential and embrace the chance to drive meaningful outcomesthat’llelevate your career. Your role will include, butisn’tlimited to:

• Lead client engagements focused on credit risk technology and credit risk model modernization, spanning model development, validation, deployment, and monitoring, from requirementsthrough golive
• Adviseonthe 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 datadomainsand 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 fornon-technicalrisk executives
• Critically assess client credit risk, model, and technology landscapes toidentifymitigation opportunities and craft innovative, customized solutions

What You'll Bring

Your skills, knowledge, and experiences are what set you apart.Here'swhat we look for:

• Demonstrated experience delivering credit risk technology and credit risk model programs, ideally withinatechnology team, a technology
• Hands onexperience across one or more credit risk and analytics platforms, such as FICO,Moodys,Databricks, Google Cloud, Microsoft Azure,AWSor SAS
• Proficiencywith modern data engineering and modeling tools and languages, such as Python, R, SQL,PySpark, and Spark
• Deep knowledge of credit riskmethodologyand 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 learningto remainat the forefront of regulatory and technology developments

Education

(if blank, degree and/or field of study not specified)

Certifications

(if blank, certifications not specified)

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, Influence, Intellectual Curiosity, Learning Agility, Optimism, Presenting Financial Reports, Professional Courage, Rapid Experimentation, Relationship Building {+ 11 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 les chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions final(d) intake de? For more information about the use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).