The Role
Lead Mogo's fraud strategy across lending and wealth, implementing fraud controls using data, AI, and automation while working cross-functionally to design solutions.
Summary Generated by Built In
Manager, Fraud Risk Strategy
Location: Remote (Canada)
Department: Risk & Decision Science
Base Salary for this role: $120,000 - $140,000 CAD
About the Role
We’re looking for a strategic, data-driven Manager, Fraud Risk Strategy to lead Mogo’s fraud prevention efforts across our lending and wealth businesses. This newly created role will own the end-to-end fraud function - from strategy and analytics to tool selection and operations. You’ll play a critical role in building scalable fraud controls that leverage the latest in data, AI, and automation to protect our platform and users.
You’ll work cross-functionally with Product, Engineering, Operations, Legal, and external partners to design and implement fraud solutions that prevent losses while preserving a seamless customer experience. The ideal candidate brings deep fraud knowledge, technical fluency, and a builder mindset.
What You’ll Do
Location: Remote (Canada)
Department: Risk & Decision Science
Base Salary for this role: $120,000 - $140,000 CAD
About the Role
We’re looking for a strategic, data-driven Manager, Fraud Risk Strategy to lead Mogo’s fraud prevention efforts across our lending and wealth businesses. This newly created role will own the end-to-end fraud function - from strategy and analytics to tool selection and operations. You’ll play a critical role in building scalable fraud controls that leverage the latest in data, AI, and automation to protect our platform and users.
You’ll work cross-functionally with Product, Engineering, Operations, Legal, and external partners to design and implement fraud solutions that prevent losses while preserving a seamless customer experience. The ideal candidate brings deep fraud knowledge, technical fluency, and a builder mindset.
What You’ll Do
- Own and execute Mogo’s enterprise fraud strategy across multiple product verticals (lending, wealth).
- Design and implement fraud detection and prevention systems using a combination of rule-based logic, analytics, and AI/ML-based models.
- Evaluate, deploy, and manage fraud tools and technologies, including those that leverage artificial intelligence and behavioral analytics.
- Monitor fraud KPIs and loss trends, conduct root cause analysis, and drive data-informed policy changes and model calibrations.
- Partner with Product, Engineering, Legal, Compliance, and Operations to implement scalable, compliant, and customer-centric risk solutions.
- Engage with external vendors, fraud platforms, and industry forums to ensure Mogo remains ahead of emerging fraud vectors - including ATO, synthetic identity, and deepfake-driven schemes.
- Contribute to incident response and case investigations in partnership with fraud ops or compliance teams when escalations arise.
- 5–7+ years of experience in fraud risk strategy, fraud analytics, or fraud operations.
- Strong grasp of fraud typologies and trends, including synthetic ID, ATO, deepfakes, and digital onboarding fraud.
- Proven experience with fraud tools, platforms, and technologies - especially those involving AI/ML, device intelligence, and behavioral biometrics.
- Proficient in SQL and Python (or similar tools) to conduct exploratory data analysis, build dashboards, and support model logic.
- Background in fintech, digital banking, or financial services preferred.
- Critical thinker with a strong bias for action, capable of operating in fast-paced and ambiguous environments.
- Excellent communicator with the ability to influence across technical and non-technical teams.
Top Skills
AI
Behavioral Analytics
Fraud Detection Tools
Ml
Python
SQL
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The Company
What We Do
Mogo Inc. (NASDAQ:MOGO; TSX:MOGO) is a financial technology company building systems for a more intelligent financial future.
Through its wholly-owned subsidiaries, including Carta Worldwide and Intelligent Investing, Mogo powers the infrastructure that moves money across businesses and platforms and helps individuals master the art of building wealth through discipline and behavioral edge.
Its capital allocation strategy, anchored in Bitcoin and hard assets, reflects a core belief: true value endures when guided by clarity and discipline, not speculation.
