Senior Analyst, Credit Risk - Digital Banking

at  Questrade Financial Group

Questrade Financial Group (QFG) of Companies is committed to helping our customers become much more financially successful and secure.
We are everything a traditional financial institution is not. At QFG, you will be constantly moving forward, bringing the future of fintech into existence. You will be a part of a collaborative team that cares deeply about our mission and each other. Your team members will help you conquer challenges, push boundaries and discover what you are truly capable of.
This is a place where you can explore, discover and learn with continuous growth. As a diverse and inclusive place to work, there are flexible working arrangements so you can unleash your creativity and curiosity with no limits. If you share the same sense of infinite possibility, come shape your future at Questrade.
We’re looking for our next Senior Analyst, Credit Risk - Digital Banking. Could it be you?
Community Trust Company (CTC) is a member of the Questrade Group of Companies (QFG), which currently includes Questrade Inc., QuestEnterprise, Questrade Wealth Management Inc., CTC, Think!nsure Ltd., and Zolo Ventures Ltd.

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
• Hybrid and flexible work arrangements
• Career growth and development opportunities
• Opportunities to contribute to community causes
• Work with diverse team members in an inclusive and collaborative environment

What’s it like working as a Senior Analyst, Credit Risk - Digital Banking at Community Trust Company?

The Sr. Analyst, Credit Risk will be responsible for credit risk-related modeling, monitoring, reporting, analytics, and insights. This involves the following:

• In-depth understanding of the available data to perform their responsibilities.
• Ability to develop, validate, execute, monitor, and refit risk, loss, and/or revenue models (e.g., probability of default modeling for IFRS 9, risk scorecards). The types of models may vary, such as statistical and non-statistical forecasting models.
• Performing periodic or ad-hoc analyses on large datasets using data analytics tools and software, such as Python, SAS, 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.
• Leveraging cutting-edge analytics and subject matter expertise to generate insights and forecasts on credit risk-related topics such as portfolio performance and losses, at an aggregate or segment level. Make insights-driven recommendations related to the portfolio, credit strategy, and credit risk-related methodologies.
• Working with outside teams and/or organizations to incorporate recommended changes in the relevant processes/products, such as credit strategies and the associated decisioning process, and loss or forecasting models.
• Designing and automating dashboards, including executive level dashboards, using state-of-the-art technologies and tools

Need more details? Keep reading…

IN THIS ROLE, RESPONSIBILITIES INCLUDE BUT ARE NOT LIMITED TO:

• Developing, validating, executing, and monitoring risk, loss, and revenue models
• Help the credit risk team develop 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
• Tracking credit strategy performance
• Conducting model performance tracking and validation
• Conducting credit risk analytics and working with a senior member of the team to develop recommendations on credit strategy or tactic
• Loss forecasting
• Portfolio reporting
• Proactively identifying issues and conducting additional analytics to get to the bottom of questions
• Providing special emphasis on the credit risk metrics ensuring accuracy and timeliness of the reporting
• Translating broad business questions into actionable analytical steps
• Help a senior member of the team to compile different analyses together to tell a compelling story

So are YOU our next Senior Analyst, Credit Risk - Digital Banking? You are if you…

• Bachelor’s degree or higher in a quantitative discipline e.g., Mathematics, Statistics, Economics
• 2+ years of experience in business analysis in financial services, preferably in retail lending
• 1+ years of experience in credit risk management
• Proficiency in Python and SQL

Additional kudos if you…

• Experience with credit card and mortgage portfolios is preferred
• Proficiency in designing dashboards in Microsoft Power BI is preferred
• Experience developing risk, valuation, and forecasting models, including experience with machine learning is preferred.
• Experience with BIG Query is preferred
• Power BI certification and experience coding in native Microsoft Power BI language for data manipulation is preferred

Sounds like you? Click below to apply!
At Questrade Financial Group of Companies, with multiple office locations around the world, we are committed to fostering a diverse, inclusive and accessible work environment. This is an environment where individuals are treated with dignity and respect. Here, the unique skills and experience you bring will be valued. You will be supported and motivated, so that you can harness your unlimited potential. Our team reflects the diversity of the communities we serve and operate in. Having a collaborative and diverse team helps us push boundaries to bring the future of fintech into existence—not only for the benefit of our customers, but for those who build their career with us.
Candidates selected for an interview will be contacted directly. If you require accommodation during the recruitment/selection process, please let us know and we will work with you to meet your needs

The Sr. Analyst, Credit Risk will be responsible for credit risk-related modeling, monitoring, reporting, analytics, and insights. This involves the following:

• In-depth understanding of the available data to perform their responsibilities.
• Ability to develop, validate, execute, monitor, and refit risk, loss, and/or revenue models (e.g., probability of default modeling for IFRS 9, risk scorecards). The types of models may vary, such as statistical and non-statistical forecasting models.
• Performing periodic or ad-hoc analyses on large datasets using data analytics tools and software, such as Python, SAS, 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.
• Leveraging cutting-edge analytics and subject matter expertise to generate insights and forecasts on credit risk-related topics such as portfolio performance and losses, at an aggregate or segment level. Make insights-driven recommendations related to the portfolio, credit strategy, and credit risk-related methodologies.
• Working with outside teams and/or organizations to incorporate recommended changes in the relevant processes/products, such as credit strategies and the associated decisioning process, and loss or forecasting models.
• Designing and automating dashboards, including executive level dashboards, using state-of-the-art technologies and tool