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.
Manager, Credit & Fraud Analytics
Job not on LinkedIn
November 8
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.
📋 Description
• Build and maintain dashboards that segment credit and fraud risk profiles, driving visibility across portfolios • Dive deep into large datasets to uncover trends, anomalies, and behavioral drivers impacting portfolio performance and loss provisioning • Support the forecasting and analysis of credit loss provisions through data-backed insights and strategic commentary • Monitor external market trends and macroeconomic indicators to anticipate emerging risks and opportunities • Develop tools and frameworks to enable other teams to run their own data queries and analyses efficiently • Craft clear, compelling data narratives and present findings to senior leadership and cross-functional stakeholders
🎯 Requirements
• 3+ years of experience in credit analytics, fraud risk, or related fields (e.g., collections, recoveries, or portfolio management) • Strong proficiency in SQL and Python; familiarity with Looker is a plus • Experience working with large datasets to extract actionable insights • Ability to communicate complex data in clear, strategic terms to non-technical stakeholders • A curious mindset and ability to leverage tools and AI to deeply understand trends • Knowledge of the Canadian subprime lending space is a bonus
🏖️ 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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