Associate Director, Cnb Credit Risk Analytics

The Associate Director, CNB Credit Risk Analytics, will develop credit risk models and analytics tools to support credit risk management for City National Bank's (CNB) Wholesale and Retail portfolios.

You will leverage data science techniques and modeling experience in various model development initiatives spanning from data engineering, development of modeling methodologies, model testing and implementation. You will closely partner with cross-functional teams, including other teams within the CNB Financial Risk Analytics (FRA) team, risk partners across 1LOD and 2LOD, and enterprise risk/business teams. You will assist the Director and Senior Director to deliver valuable insights to the senior management and business partners.

We are looking for a curious, creative, open-minded individual to become a key contributor in credit risk capabilities at CNB. We are a team that help and empower each other to conquer challenges and drive meaningful impact. Given the nature of our work, the opportunity to gain analytical experience, to grow leadership skills and to expand your network is significant.

What is the opportunity?

The Associate Director, CNB Credit Risk Analytics, will develop credit risk models and analytics tools to support credit risk management for City National Bank's (CNB) Wholesale and Retail portfolios.

You will leverage data science techniques and modeling experience in various model development initiatives spanning from data engineering, development of modeling methodologies, model testing and implementation. You will closely partner with cross-functional teams, including other teams within the CNB Financial Risk Analytics (FRA) team, risk partners across 1LOD and 2LOD, and enterprise risk/business teams. You will assist the Director and Senior Director to deliver valuable insights to the senior management and business partners.

We are looking for a curious, creative, open-minded individual to become a key contributor in credit risk capabilities at CNB. We are a team that help and empower each other to conquer challenges and drive meaningful impact. Given the nature of our work, the opportunity to gain analytical experience, to grow leadership skills and to expand your network is significant.

What will you do?

• Develop and implement data-driven credit risk models and credit strategies.
• Build and iteratively improve data engineering pipelines by navigating enterprise data warehouse and leveraging open-source querying and programming tools.
• Engage cross functional stakeholders to enhance data structure and quality for valuable credit risk capabilities and strategies. Be resourceful to conduct independent research to resolve challenges.
• Leverage data driven assumptions to model out financial outcomes of credit strategies.
• Design automated strategies to improve real time adjudication and the quality and consistency of manual adjudication.
• Present quantitative materials, concisely and accurately, to senior leadership.
• Support Business Review, Validation, User-Acceptance Testing, Internal Audit and External Audit or Regulatory Review of Credit Risk Strategies/Decisioning Models.
• Begin to develop an organizational awareness, creating a network that can be leveraged to independently solve problems.

What do you need to succeed?

Must-have:

• At least 3 years hands-on experience in credit risk modeling and/or predictive modeling development.
• Strong communication, collaboration, critical thinking, and problem-solving skills including understanding of financial modeling.
• Proficient programming skills in Python, R, SAS, and similar programming languages in data science.
• Strong data manipulation capability with SQL programming to handle complex data.
• Agile mindset and strong commitment on continuous improvement; specifically, ability to identify and iteratively improve existing modeling or data pipeline process gaps.
• Demonstrated abilities for critical thinking and numerical analysis.
• Effective and equally conversant in translating technical expertise into business language that drive insights.

Nice-to-have

• Degree in quantitative field of study (e.g., Mathematics, Statistics, Finance, Economics, Business Administration, Computer Science) - to demonstrate capability for critical thinking and data analysis.
• Demonstrated leadership in cross-functional environment.
• Basic knowledge of GitHub version control tool.
• Familiar with enterprise risk management framework.

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Flexible work/life balance options
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to do challenging work

Job Skills

Critical Thinking, Data Analytics, Data Visualization, Python (Programming Language), SQL Database Queries, Stakeholder Engagement, Strategic Planning

Additional Job Details

RBC CENTRE, 155 WELLINGTON ST W:TORONTOTORONTOCanada37.5Full timeGROUP RISK MANAGEMENTRegularSalaried2025-03-122025-03-29

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above