Principal Analyst, Credit Risk

Questrade Financial Group•Toronto, ON

1d•Hybrid

About The Position

Questrade Financial Group (QFG) is seeking a Principal Analyst, Credit Risk to be a catalyst for change, using AI to transform and deliver unparalleled customer experiences and shaping a future where AI empowers our teams to do their best work. This role involves credit risk-related analytics, modeling, monitoring, reporting, and insights, with a deep understanding of leveraging cutting-edge analytics and subject matter expertise to generate loss forecasts and portfolio performance. The candidate will make insights-driven recommendations related to the portfolio, credit strategy, and credit risk-related methodologies, and develop, validate, execute, monitor, and refit predictive risk models (e.g., probability of default and Loss Give Default modeling for IFRS 9). The role requires performing periodic or ad-hoc analyses on large datasets using tools like Python, SQL, BIG Query, and Power BI, generating reports and insights, and working with a cross-functional team on credit strategies and decisioning processes. This role will also lead and provide guidance to the team in analytics, including coaching, mentoring, and training junior team members.

Requirements

Hold a Bachelor’s degree or higher in a quantitative discipline e.g., Mathematics, Statistics, Economics
Have 4+ years of experience in business analysis in financial services, preferably in retail lending
Have advanced coding skills in Python and SQL
Have 2+ years of model development, validation, execution, and monitoring experience, including statistical and forecasting models
Are passionate about analytics
Have the ability to learn and apply new tools
Have number sense and ability to drill down
Bring a positive, can-do mindset to our organization, using creative solutions to solve challenges
Are a strong team player who motivates others to achieve group success
Establish and build on healthy working relationships with your team and peers
Use open communication and collaboration to overcome challenges and manage deliverables
Work well in a dynamic and fast paced environment with the ability to navigate through organizational change

Nice To Haves

Have experience with credit card and mortgage portfolios
Have proficiency / certification in Microsoft Power BI
Have Machine Learning model experience
Have experience with BIG Query and Data Bricks
Have a good understanding of credit risk management

Responsibilities

Loss forecasting.
Portfolio analytics and reporting.
Developing, validating, executing, and monitoring risk models.
Developing underwriting criteria for adjudication of retail lending products.
Supporting the implementation of models and strategy in the production system working with Technologies.
Developing and maintaining documentation for reports, models and strategy.
Generating insights and communicating the insights and their implications to the team and to senior leadership.
Devising a Test & Learn approach in credit decisioning.
Tracking credit strategy performance.
Conducting model performance tracking and validation.
Recommending changes in credit strategy based on credit performance.
Proactively identifying issues and conducting root cause analysis.
Impact assessment.
Data processing using Python and data manipulation using Microsoft Power BI.
Translating broad business questions into actionable analytical steps.