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Analytics Lead (Full Stack, Collections & Recoveries)

Affirm · Ottawa, Canada

RemoteImported listingfull-timeabout 1 month ago

About The Role

Join Affirm Canada as an Analytics Lead, where you will own and drive the collections and recoveries strategy for the market. You will be responsible for the full post-delinquency lifecycle, including digital and outbound collections, third-party agency placement, and post-charge-off recoveries. You will also set and iterate the Canadian collections and recoveries strategy, design and quantify initiatives, and work with Product, Legal, and Compliance to ensure regulatory compliance. This is a remote-first position with generous benefits and opportunities for growth.

  • Posséder et piloter la stratégie de recouvrement et de recouvrement pour Affirm Canada, en couvrant l'ensemble du cycle de vie post-délai.
  • Être responsable de la feuille de route des recouvrements et des recouvrements pour le marché, quantifiant l'impact des nouvelles initiatives.
  • Développer et mettre en œuvre des initiatives de recouvrement et de recouvrement, de l'hypothèse au lancement, en mesurant l'impact.
  • The ideal candidate will have a combination of strong analytical expertise with a deep understanding of consumer credit and collections behaviour, and the ability to improve recovery outcomes through data-driven insights, vendor management, and cross-functional stakeholder management
  • Intelligence + Humility. Hubris is the fastest way to blow up a business!
  • Experience designing or optimising collections and/or recoveries strategies leveraging data, analytics and insights
  • Knowledge of collections, recoveries, and delinquency management practices. Familiarity with Canadian consumer protection, collections, and privacy regulations (e.g., provincial consumer protection / collection-agency legislation, PIPEDA) is a plus
  • 5-7+ years in credit risk, collections, or recoveries strategy analytics in consumer lending
  • Demonstrated ability to interpret credit and collections performance data and translate it into action
  • Very strong analytical background with proficiency in SQL, Python, or other scripting languages
  • Excellent cross-functional communication and stakeholder management with ability to communicate findings and recommendations clearly to both technical and non-technical audiences
  • A passion for finding insights in data and driving change based on those insights

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