Associate Director, CNB Credit Risk Analytics

Key Skills

Analytical and Problem solving, Data pipelines, Python Programming, R Programming, Risk Analytics, SAS, SQL

Job Description

The Associate Director, CNB Credit Risk Analytics, will develop credit risk analytics tools including data-driven credit decisioning strategies and risk metrics to support credit risk management for City National Bank’s (CNB) Wholesale and Retail portfolios.

You will use analytics to create a data mart from enterprise databases. The data mart will be leveraged to extract credit risk insights via data-driven strategies to grow revenue and manage risk to ultimately optimize portfolio profitability. You will closely partner with other teams within CNB Financial Risk Analytics (FRA) team and business and risk partners across 1LOD and 2LOD. You will assist the Director and Senior Director, CNB Credit Models and Methodology to deliver the analytic tools that supports the value proposition of FRA.

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?

• Leverage data science, mining, profitability modeling and business intuition to design credit strategies and inform lending decisions.
• 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.
• Maintain and update credit decision engine by making code changes including post implementation monitoring and testing.
• Determine alternative methods to solve problems and be the first line of defense on governance of your own analytic products.
• 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

• 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 skills. Experience in writing complex SQL queries to extract and integrate data from multiple database sources.
• 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.
• Quality assurance mindset to validate and govern your own analytics products: data marts, strategies and models.
• Effective and equally conversant in translating technical expertise into business language that drive insights.
• At least 3 years working experience in building data-driven strategies or models.

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.
• Experience with credit risk.
• Demonstrated leadership in cross-functional environment.
• Experience with cloud technologies like Snowflake, Microsoft Azure, and Amazon AWS.
• Basic knowledge of GitHub version control tool.

What is 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.
• Leaders who support your development through training and coaching.
• Work with a dynamic, collaborative team with ability to make a difference.
• Leaders who support your development through coaching and managing opportunities.
• Opportunities to do challenging work.

Job Skills

Credit Risk Management, Critical Analysis, Critical Thinking, Data Analytics, Database Queries, Data Query, Data Virtualization, Operational Delivery, Quantitative Methods

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:

2024-11-22

Application Deadline:

2024-12-08

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

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.

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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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