Principal Analyst, Credit Risk

What's in it for you as an employee of QFG?

• Health & wellbeing resources and programs

• Paid vacation, personal, and sick days for work-life balance

• Competitive compensation and benefits packages

• Work-life balance in a hybrid environment with at least 3 days in office

• Career growth and development opportunities

• Opportunities to contribute to community causes

• Work with diverse team members in an inclusive and collaborative environment

This job posting is for an existing vacancy.

We're looking for our next Principal Analyst, Credit Risk. Could It Be You?

The Principal Analyst, Credit Risk will be responsible for credit risk-related analytics, modeling, monitoring, reporting, and insights. This involves a deep understanding and expertise in leveraging cutting-edge analytics and subject matter expertise to generate loss forecasts and portfolio performance, at an aggregate or segment level. Making insights-driven recommendations related to the portfolio, credit strategy, and credit risk-related methodologies. Developing, validating, executing, monitoring, and refitting predictive risk models (e.g., probability of default and Loss Give Default modeling for IFRS 9).

Performing periodic or ad-hoc analyses on large datasets using data analytics tools and software, such as Python, SQL, BIG Query, and Power BI, and generating reports and insights regarding the performance of models, products, and portfolios in aggregate and at a segment level. This role will work with a cross-functional team on credit strategies and the associated decisioning process, and loss or forecasting models. This role will also lead and provide guidance to the team in analytics, supporting them as needed including coaching, mentoring and training junior team members.

Need more details? Keep reading…

In this role, responsibilities include but are not limited to:

• 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.

So are YOU our next Principal Analyst, Credit Risk? You are if you…

• 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

Additional kudos if you…

• 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

Compensation Information:

• Base salary range: $105,000 - $125,000

• The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.

Sounds like you? Click below to apply!

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