Extend

👥 51-100💰 $40,000,000 Series B over 3 years agoMobile PaymentsCredit CardsPaymentsFinTechSoftware💼 Private Company
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Extend revolutionizes business payments with its innovative digital card platform. We empower companies to leverage the full potential of virtual cards, streamlining payment processes and enhancing financial control. Our suite of aggregated virtual card APIs, a user-friendly corporate card app, and a cutting-edge card tokenization service provide a comprehensive solution for businesses of all sizes. We're a leading FinTech company with a strong presence in the payments industry, backed by significant venture capital and consistently exceeding growth targets. Our technology stack incorporates modern tools and practices, including Cloudflare hosting, ensuring reliability and security. We prioritize a collaborative engineering culture that fosters innovation and efficient development. Our team works remotely and flexibly, leveraging various technologies to stay connected and productive. Extend's dedication to customer service and technological advancement has resulted in multiple partnerships with major financial institutions and recognition within the FinTech industry. We're a fast-growing company of 51-100 employees located in New York, committed to providing employees with competitive salaries, comprehensive benefits, and opportunities for professional development. Our culture values collaboration, innovation, and a positive work-life balance. Join us as we continue to shape the future of business payments. Extend's success stems from a commitment to innovation, reliability, and a focus on providing best-in-class digital payment solutions. We value employees who are driven, collaborative, and strive to excel in a fast-paced environment. We're confident that our cutting-edge technology, strong industry partnerships and dynamic growth trajectory will offer you a rewarding and challenging career.

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📍 US

🧭 Full-Time

💸 150000.0 - 170000.0 USD per year

🔍 Protection plan industry

  • 3+ years of work experience building and deploying machine learning systems into production.
  • Previous experience building fraud detection or risk assessment tools is a strong plus.
  • Solid understanding of fundamental computer science concepts and software design best practices.
  • Expertise in Python/R and SQL.
  • Experience with AWS and dbt.
  • Excellent stakeholder management and cross-functional collaboration skills.
  • Detail-oriented with curiosity to understand user behavior.
  • Empathy and humility.

  • Develop technologies and strategies to prevent and detect claim fraud and abuse across a variety of post-purchase products.
  • Build and deploy machine learning models through all phases of development.
  • Maintain and evaluate models to ensure high performance and reliability.
  • Collaborate closely with product, engineering, and operations teams.
  • Cultivate a culture of learning and collaboration within and across partner teams.

AWSPythonSQLMachine Learning

Posted about 2 months ago
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📍 US

🧭 Full-Time

💸 190000.0 - 210000.0 USD per year

🔍 Protection plan and shipping protection industries

  • 8+ years of work experience building and deploying machine learning systems into production.
  • 2+ years of experience mentoring and managing machine learning teams.
  • Proven track record in building fraud detection or risk assessment tools.
  • Solid understanding of fundamental computer science concepts and software design best practices.
  • Expertise in Python/R and SQL; experience with TypeScript/JavaScript is a plus.
  • Strong leadership skills with a focus on developing top machine learning talent.
  • Excellent stakeholder management with experience in cross-functional collaboration.
  • Empathy and humility.

  • Own the implementation of technologies and strategies to prevent and detect claim fraud and abuse.
  • Lead a team of machine learning data scientists to develop robust and intuitive models for identifying fraud.
  • Partner with product, engineering, and operations teams for optimizing fraud detection models.
  • Cultivate collaboration and learning within teams.
  • Perform design and code reviews to ensure technical excellence.
  • Hire, mentor and coach junior data scientists.
  • Optimize and deploy machine learning models throughout their development phases.

LeadershipPythonSQLMachine Learning

Posted 2 months ago
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