The Role
The Manager of Credit & Fraud Analytics will shape credit strategies, build dashboards, analyze risks, and enable self-service analytics.
Summary Generated by Built In
Manager, Credit & Fraud Analytics
Location: Remote (Canada)
Department: Risk & Decision Science
Base Salary for the role: $100,000 - $130,000
About the Role
Mogo is on a mission to help our members achieve financial freedom through innovative products and smart technology. As we continue to grow, we're looking for a Manager, Credit & Fraud Analytics to join our high-performing, high-impact team.
In this individual contributor role, you’ll serve as a key player in shaping credit and fraud risk strategies. You’ll own critical analytics functions - from credit provisioning insights to portfolio segmentation - and collaborate across teams to deliver actionable recommendations. Your work will influence long-term financial planning and executive decision-making at the highest level.
What You’ll Do
What You’ll Bring
Location: Remote (Canada)
Department: Risk & Decision Science
Base Salary for the role: $100,000 - $130,000
About the Role
Mogo is on a mission to help our members achieve financial freedom through innovative products and smart technology. As we continue to grow, we're looking for a Manager, Credit & Fraud Analytics to join our high-performing, high-impact team.
In this individual contributor role, you’ll serve as a key player in shaping credit and fraud risk strategies. You’ll own critical analytics functions - from credit provisioning insights to portfolio segmentation - and collaborate across teams to deliver actionable recommendations. Your work will influence long-term financial planning and executive decision-making at the highest level.
What You’ll Do
- Portfolio Segmentation & Dashboards: Build and maintain dashboards that segment credit and fraud risk profiles, driving visibility across portfolios.
- Ad-Hoc Risk Analytics: Dive deep into large datasets to uncover trends, anomalies, and behavioral drivers impacting portfolio performance and loss provisioning.
- Provision Forecasting: Support the forecasting and analysis of credit loss provisions through data-backed insights and strategic commentary.
- Competitive & Macroeconomic Tracking: Monitor external market trends and macroeconomic indicators to anticipate emerging risks and opportunities.
- Self-Serve Analytics Enablement: Develop tools and frameworks to enable other teams to run their own data queries and analyses efficiently.
- Strategic Reporting: Craft clear, compelling data narratives and present findings to senior leadership and cross-functional stakeholders.
What You’ll Bring
- 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.
Top Skills
Looker
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.
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