Manager, Fraud Risk Strategy

Job not on LinkedIn

November 8

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Logo of Mogo

Mogo

Fintech • Finance • eCommerce

Mogo is a members-only wealth platform that focuses on intelligent investing principles rooted in value investing. It offers both private wealth management and a self-directed investing app, emphasizing a transparent membership model with no hidden fees. With a strong commitment to sustainability and social responsibility, Mogo allows its members to invest in ways that contribute to positive environmental impacts, such as reforesting efforts. The platform also harnesses AI technology to enhance investment research and analysis, empowering users to make informed investment decisions that align with their wealth-building strategies.

51 - 200 employees

Founded 2003

💳 Fintech

💸 Finance

🛍️ eCommerce

💰 Series C on 2014-12

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• ALWAYS FULLY REMOTE WORK - Enjoy the flexibility of remote work, supported by necessary resources • Comprehensive Health and Wellness - Access medical, dental, and vision coverage plus a Health Spending Account • Stock Options - Have a stake in the company's success through stock options • Flex Vacation - Benefit from paid time off, including vacation days, holidays, and personal days • Wellbeing Programs - Access counselling services, mental health support, and additional wellness resources

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🗣️🇫🇷 French Required

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