Data Analyst, Fraud Analytics

Questrade Financial Group (QFG), through its companies - Questrade, Inc., Questrade Wealth Management Inc., Community Trust Company, Zolo, and Flexiti, provides securities and foreign currency investment, professionally managed investment portfolios, mortgages, insurance, real estate services, financial services and more. Questrade uses cutting-edge technologies to develop innovative products that give customers better, more affordable ways to take control of their money.

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, with a hybrid working environment you can unleash your creativity and curiosity with no limits. If you share the same sense of infinite possibility, come shape your future at QFG.

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

• 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

We're looking for our next Data Analyst, Fraud Analytics & Reporting. Could it be you?
The Data Analyst, Fraud Analytics & Reporting will proactively optimize risk management frameworks through advanced analytical skills. This role involves building and maintaining sophisticated fraud models using machine learning and predictive modeling. Key responsibilities include transforming large datasets into actionable insights, and collaborating with other team members to enhance our defenses and ensure a seamless customer experience.

Need more details? Keep reading…
In this role, responsibilities include but are not limited to:

• Strategy & Modelling: Lead the development and refinement of fraud detection strategies and algorithms for the entire BNPL business. Utilize AI, machine learning, and predictive modelling to fight fraud and provide seamless client experiences.
• Advanced Analytics: Monitor complex transactions and behavioural patterns to detect and prevent fraudulent activities. Independently conduct ad-hoc analyses and provide fraud mitigation insights to leadership.
• Performance Optimization: Report on the effectiveness of current fraud controls and maintain the best possible false positive rates to minimize customer friction while reducing fraud losses.
• Reporting & Communication: Prepare and present detailed reports on fraud trends and investigation outcomes to leadership and other stakeholders. Develop and maintain business-as-usual (BAU) performance reports and dashboards.
• Cross-Functional Collaboration: Serve as a primary Subject Matter Expert (SME) for Fraud Analytics, working closely with Product, Engineering, and IT partners on solution design and the execution of new fraud prevention initiatives.
• Data Integration: Integrate data from several sources to facilitate more effective procedures, improved analysis, and simplified reporting.
• Governance & Compliance: Ensure all fraud prevention activities adhere to governance requirements, including Privacy and Audit, and align with the organization's risk appetite.

So are YOU our next Data Analyst, Fraud Analytics & Reporting? You are, if you…

• Have a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Data Analytics.
• Have 3+ years of experience in fraud analysis, risk management, or a related data science role.
• Have experience in a fintech, e-commerce, or digital payments environment.
• Have proven expertise in using SQL for complex querying
• Have hands-on experience with data visualization platforms (e.g., Power BI, Tableau, Looker).

Additional Kudos If You…

• Have completed certifications such as Certified Fraud Examiner (CFE) and have hands-on experience with machine learning models.
• Have experience with Python for data analysis and modeling

Additional Information…

• Please note this role will be required to be in office 3 days a week

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.

Questrade Financial Group of companies Applicant Tracking System utilizes artificial intelligence (AI) for application screening. The AI system operates on predetermined criteria, with final decisions subject to human review.

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.