Application Integrity Data Analyst

Location: Toronto, Ontario, hybrid, 3 days on-site per week
Language: English required for professional written and verbal communication. French is considered an asset.
Duration: 6-month contract

About the Opportunity
A financial services organization is seeking an intermediate Data Analyst to lead an application integrity scoring initiative focused on fraud detection, data quality and risk identification. This role is ideal for someone who enjoys exploring complex datasets, questioning what the data is showing and translating patterns into practical business rules.

You’ll work closely with teams across analytics, customer platforms, compliance, lending operations and technology. Your work will help the organization identify suspicious activity earlier, improve application quality and build a more consistent, data-informed approach to risk management.

What’s In It for You
This is an opportunity to take ownership of a high-impact initiative from discovery through implementation. You’ll gain exposure to fraud analytics, business intelligence, rule-engine design and financial services operations while working in a collaborative environment that values curiosity, critical thinking and practical problem-solving.

Your Responsibilities
• You’ll assess the end-to-end application process and identify key data entry, modification and override points
• You’ll analyze historical application data to uncover anomalies, inconsistent fields and unusual behavioural patterns
• You’ll develop approximately 25 to 100 testable rules that support an application integrity scoring model
• You’ll use Excel and SQL to profile data, validate findings and investigate potential risk indicators
• You’ll design scoring logic, severity levels and action thresholds based on identified patterns
• You’ll collaborate with business, compliance and technical teams to document requirements and support implementation
• You’ll contribute to dashboards, audit trails and reporting used by risk and management teams

Skills and Qualifications
• 3+ years of experience in data analysis, business intelligence or a related analytical role
• Strong SQL skills, with Trino or Hive experience considered an asset
• Advanced Excel skills and the ability to interpret, challenge and communicate data findings
• Experience creating business rules, scoring logic or analytical frameworks
• Strong critical thinking, problem-solving and stakeholder communication skills
• Financial services, lending, underwriting or banking product experience is preferred
• Fraud analytics experience is an asset, but not required

Why Partner with Altis
If you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.

We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals.All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.