Associate Director

3 weeks ago

Toronto, Ontario, Canada Royal Bank of Canada Full time

Job Summary

The Associate Director, CNB Credit Model and Methodology, will develop credit risk analytics tools including data-driven models and risk metrics to support credit risk management for City National Bank's (CNB) Wholesale and Retail portfolios.

Job Description

What is the opportunity?

You will create a modeling data mart from enterprise databases. The data mart will be leveraged to extract credit risk insights via data-driven models and credit risk metrics. Your models will be used by 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 models and analytic tools that supports the value proposition of FRA. You will also advocate and uphold the best practices to govern the development of models to ensure accuracy, reliability, and transparency.

We are looking for a curious, resourceful, open-minded individual to become a key contributor in credit risk modeling at CNB. We are a team that prides itself for ownership of success and deliver high-impact analytics product to improve credit risk management across the bank. 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?

  • Build and iteratively improve data engineering pipelines by navigating enterprise data warehouse and leveraging open-source querying and programming tools.
  • Develop, document, and implement Credit Scorecard and Credit rating models which will be critical input for AIRB, IFRS-9, CECL, CCAR, Stress Testing (EWST, MST).
  • Be a strong producer of independent output and able to explain concisely technical results to non-technical audiences.
  • Identify data and modeling challenges, especially on data availability and quality and be resourceful to conduct independent research and use business common sense to resolve challenges.
  • Deliver quantitatively sound methodologies/model against self-determined timelines given competing priorities/needs.
  • Conduct data processing and modeling work with strong attention to details; identify potential errors and correct them before they arise in late stage.
  • 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 the team executive.
  • Support Business Review, Model Validation, User-Acceptance Testing, Internal Audit and External Audit or Regulatory Review of Credit Risk 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.
  • Strong statistical modeling capability including logistic regression and machine learning.
  • Curiosity in learning the latest advances in generative artificial intelligence – Large Language Models (LLM) including open-sourced models such as Mistral and Llama.
  • 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.
  • Proficient programming skills in Python, R, SAS, and similar programming languages in data science.
  • Quality assurance mindset to validate and govern your own analytics products: data marts 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 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 in the Financial industry
  • 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

Analytical Decision Making, Business Data Analysis, Credit Analysis, Credit Risk Analytics, Credit Risk Modeling, Data Cleansing, Data Engineering, Data Visualization Techniques, Enterprise Data, Independent Thinking, Leadership, Operational Delivery, Prioritization, Problem Solving

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:

Application Deadline:

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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