Associate Director, CNB Credit Modeling & Methodology

Job title:

Associate Director, CNB Credit Modeling & Methodology

Company

Royal Bank of Canada

Job description

Job Summary As part of the Group Risk Management (GRM) team, the Associate Director, CNB Credit Modeling & Methodology will support the enhancement and monitoring of City National Bank’s (CNB) Wholesale and Retail credit risk profile, from a credit modeling and methodology perspective.

The ideal candidate will focus on the tactical solutions of data for analytics and modeling utilized by downstream partners across the organization. The Associate Director will assist the Director, Credit Modeling and Methodology in the execution and maintenance of tools and processes that support credit risk data analytics and risk performance monitoring, specifically credit loss estimation. You will assist Senior Management and the Board in understanding critical issues and risks related to credit risk at CNB aligned with best practices at RBC.

We are looking for a bright, committed, high-performing individual to become a key contributor to drive credit risk management at CNB. We are a team that prides itself for high quality work with significant impact across the bank and continuous interaction with other groups, senior management, and regulators. Given the nature of our work, the opportunity to learn, grow and expand your network is significant.

Job Description

What is the opportunity?

As part of the Group Risk Management (GRM) team, the Associate Director, CNB Credit Modeling & Methodology will support the enhancement and monitoring of City National Bank’s (CNB) Wholesale and Retail credit risk profile, from a credit modeling and methodology perspective.

The ideal candidate will focus on the tactical solutions of data for analytics and modeling utilized by downstream partners across the organization. The Associate Director will assist the Director, Credit Modeling and Methodology in the execution and maintenance of tools and processes that support credit risk data analytics and risk performance monitoring, specifically credit loss estimation. You will assist Senior Management and the Board in understanding critical issues and risks related to credit risk at CNB aligned with best practices at RBC.

We are looking for a bright, committed, high-performing individual to become a key contributor to drive credit risk management at CNB. We are a team that prides itself for high quality work with significant impact across the bank and continuous interaction with other groups, senior management, and regulators. Given the nature of our work, the opportunity to learn, grow and expand your network is significant.

What will you do?

• Participate in data assessment and tactical procurement for credit modeling data and analytics pipelines, help automate the underlying credit modeling dataset, assess, and address data gaps,
• Develop and maintain standards, issue resolution across data and controls framework to ensure there is a robust governance framework in place for the team,
• Manage in an iterative manner the creation and improvement upon credit risk monitoring and regulatory reporting processes,
• Work with Data Office for long term strategic solutions for enterprise-wide data sourcing,
• Participate in the exchange of knowledge related to credit models and reporting, data & analytical methodology and maintenance of internal data dictionary,
• Ensure compliance and privacy guidelines are strictly adhered to,
• Provide Governance expertise ensuring linkage across processes, controls and reporting produced to optimize accuracy, efficiencies and manage redundancies,
• Provide analytical support on Ad Hoc requests originating from stakeholders in 1LOD and 2LOD teams, and senior management.

What do you need to succeed?

Must-have

• Strong communication and collaboration skills
• Strong data manipulation capability with SQL and Python; expertise with MS Office Suite.
• Effective and equally conversant in translating technical expertise into business language that drive insights
• At least 2 years working experience with data analytics and related databases

Nice-to-have

• Degree in quantitative field of study (e.g. Statistics, Finance, Economics, Business Administration, Computer Science) – to demonstrate capability for critical thinking and data analysis
• Demonstrated leadership in cross-functional environment
• Expertise in navigating an Enterprise Data Warehouse, Python, R or other tools

What is in it for you?

We thrive on the challenge to be our best, progressive thinking, to keep growing, and working together to build and deliver trusted reporting to help our stakeholders succeed 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, competitive compensation
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to take on progressively greater accountabilities

#CNB

Job Skills Analytical Thinking, Big Data Analytics, Credit Analysis, Critical Thinking, Data Administration, Data Analysis, Database Queries, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Iterative Methods, Quantitative Methods, Quantitative Models, Quantitative Research, Research Documents, Structured Query Language (SQL)

Additional Job Details

Address: RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City: TORONTO

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: GROUP RISK MANAGEMENT

Job Type: Regular

Pay Type: Salaried

Posted Date: 2024-01-29

Application Deadline: 2024-02-10

Inclusion and Equal Opportunity Employment

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

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Expected salary

Location

Toronto, ON

Job date

Wed, 31 Jan 2024 04:40:05 GMT

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