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Chief Operating Officer

OneSparQ

Remote · À temps plein

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Expérience
10 ans et plus
Salaire
Ouvertures
1
Publié
il y a 1 jour
Mode de travail
Travaillez à domicile
CV
Candidature requise

Description de l'emploi

About the Role

OneSparQ is seeking an experienced Chief Operating Officer to join a rapidly growing Financial Technology firm. This role is fully remote and requires a proven track record in fintech leadership.

Key Responsibilities

  • Manage and refine the comprehensive operating framework across risk management, finance, customer operations, processing, and support, helping the company grow efficiently while ensuring top-tier service quality and portfolio outcomes.
  • Drive the advancement of fintech infrastructure, lending technology, risk management platforms, and data-centric decision systems by integrating AI, automation, and analytics to boost operational efficiency and customer experience.
  • Spearhead organization-wide initiatives in automation, AI integration, and process enhancement aimed at eliminating manual operations, enhancing productivity, improving decision processes, and scaling business operations beyond current capabilities.
  • Coordinate risk, finance, operations, and technology teams to share unified performance goals, maintaining alignment between business strategies, operational execution, and portfolio results.
  • Recruit, cultivate, and lead high-caliber leadership teams fostering a culture centered around accountability, innovation, ongoing improvement, and data-driven decision-making.
  • Act as a strategic partner to the executive management, translating organizational goals into clear operational outcomes and facilitating transformational growth projects throughout the company.

Required Qualifications and Expertise

  • Minimum of 10 years progressive leadership experience within financial technology, lending, payments, or technology-enabled financial services sectors.
  • Proficiency in operational excellence, process enhancement, workflow optimization, and automation implementation.
  • Hands-on experience with AI, machine learning, automation platforms, or technological initiatives aimed at operational improvements.
  • Strong knowledge of lending operations, risk management frameworks, credit processes, or financial services workflows.

Additional Preferred Experience

  • Background in fintech lending, small and medium business lending, alternative lending models, embedded finance, digital banking, payments, or revenue-based financing environments.

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