About the job

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, you’ll 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 that’ll elevate your career. Your role will include, but isn’t 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 clients’ 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

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Responsibilities

About the job

The Opportunity

As a Credit Risk 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::

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 clients’ 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