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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

Credit Risk Modelling Senior Associate

Quantitative RiskConfirmed live in the last 24 hours
Full-timeToronto, ON, Canada

About the Job

Requirements

  • Proficient experience and exposure to financial services risk practices, including retail and wholesale credit modeling techniques for adjudication, capital management, and allowance modeling or calculations such as IFRS 9.
  • Experience developing, validating, and assessing quantitative credit risk measurement methodologies.
  • Experience and exposure to AI and machine learning modeling, including theoretical approaches and related technologies and platforms.
  • Significant experience and proven ability in at least one main AI platform, such as Vertex AI or Azure AI, 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 programming language or software tool such as Python, R, SQL, SAS, or C++.
  • Master’s degree in Statistics, Mathematics, Physics, Engineering, Financial Engineering, Data Science, or another relevant field.
  • Proven ability to use credit risk management software, data, and methodology in completing client engagements, including leveraging related technology vendors and their applications.
  • Ability to draft proposals, reports, and presentations.
  • Ability to manage and prioritize multiple projects.

Responsibilities

  • Develop and validate Retail and Wholesale credit risk methodologies, including obligor and facility risk rating, Basel regulatory capital and economic capital models, and allowance for loan and lease loss models such as IFRS 9.
  • Assist assurance teams with reviews of clients’ model development and validation processes.
  • Develop and validate artificial intelligence, machine learning, and generative AI models.
  • Support clients with model risk governance and controls activities across multiple asset classes.
  • Collaborate with team members at various levels to develop client proposals, white papers, thought leadership, and points of view on topics such as machine learning, generative AI, and climate risk modeling.
  • Build and maintain effective client relationships.

Desired Qualifications

  • Proficiency in at least one main AI platform, such as Vertex AI or Azure AI.
  • A PRM, FRM, or CFA designation would be an asset.

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size
10,001+
Company stage
Early VC
Total funding
$3.3M
Headquarters
London, United Kingdom
Founded
1989

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