Prime Financial Technologies

Data Engineer

• Design large scale, distributed data processing systems and pipelines
• Ensure the reliability and integrity of data at Prime
• Collaborate with other engineering, data science, and cross functional partners in service of our customers
• Influence and develop our architecture and technical roadmap
• Write high quality, maintainable and scalable code
• Identify and troubleshoot issues
• Maintain the quality bar for engineering excellence at Prime
• Stay up to date with emerging technologies, best practices, and industry trends in data engineering and software development
• Commit to integrating our core values of Win the Day, Get out of the Building, Embrace the Unknown, and Excellence as a Habit in all aspects of your daily responsibilities and professional interactions

Staff Data Engineer

Machine Learning Engineer

• Innovate in machine learning lending solutions: By leveraging your deep expertise in machine learning, you will contribute to the development of cutting-edge lending solutions that revolutionize access to credit for small and medium-sized businesses (SMBs). Your work will directly impact the speed, efficiency, and accessibility of credit, making it more tailored and less risky for both lenders and borrowers.
• Drive Technical Excellence and Innovation: As part of a dynamic team, you will push the boundaries of what is possible in fintech and embedded finance. Your contributions will help shape the technological direction of Prime, ensuring that we stay at the forefront of industry developments and continue to offer best-in-class solutions to our partners and clients.
• Empower Small Businesses and Foster Financial Inclusion: Your efforts will not just advance Prime's technological capabilities but also support a broader mission of financial inclusion. By enhancing our ML-driven credit decisioning processes, you'll play a key role in democratizing access to financial services, enabling small businesses to thrive and contribute to the economy more significantly.
• Develop and Enhance ML Models: You’ll design, build and deploy sophisticated machine learning models that improve our credit decisioning, fraud detection and other processes. This involves working closely with a high variety of data, identifying patterns and implementing models that learn from and adapt to new data.
• Collaborate Across Teams to Deliver Impactful Solutions: Work cross-functionally with product managers, engineers, and stakeholders to understand business needs and translate them into ML-driven strategies and products.
• Lead ML Projects from Ideation to Production: Take ownership of machine learning projects from the initial concept through to deployment and continuous improvement. This includes defining project scopes, developing timelines, managing resources, and ensuring that the solutions delivered are scalable, reliable, and impactful.

Staff Data Engineer

ML Engineer