Senior Frontend Engineer

• Design, build, and maintain the customer-facing web applications and UI that lenders use to interact with our fraud and risk decisioning products, taking ownership of their reliability and production outcomes
• Build responsive, accessible, and performant interfaces, translating complex risk signals and model outputs into clear, usable workflows and visualizations
• Support the QA team through improvements to release practices, including automated frontend testing (unit, component, end-to-end), regression coverage, and safe deployment techniques (e.g., shadow mode, canary releases)
• Set a high bar for code quality and accountability, and share knowledge with peers through code review and technical guidance
• Implement frontend monitoring, error tracking, and real-user performance observability to proactively detect and resolve issues before customer impact
• Contribute to frontend architecture decisions - component systems, state management, and build tooling - ensuring scalability, performance, and a consistent user experience
• Bring a focus to web performance and API response handling, improving load times and perceived responsiveness
• Partner closely with backend engineers and Data Science to surface real-time machine learning outputs in the UI
• Support live resolution of critical production issues
• Follow and help improve strong engineering practices across CI/CD, incident response, and operational excellence
• Leverage modern AI-assisted development tools (e.g., Claude Code) to improve your productivity, testing rigor, and overall engineering quality
• Collaborate with Product, Design, and Customer teams to smoothly configure and implement new customer integrations with Point Predictive products
• Ensure the interfaces you build meet security, compliance, accessibility, and data governance requirements in a regulated financial environment, * Consistent, reliable delivery of your work with minimal production issues
• Intuitive, responsive, and accessible interfaces that make complex risk decisions easy to act on
• Predictable, low-risk releases supported by strong testing and pre-production validation
• Frontend issues identified and resolved proactively through monitoring and alerting
• UI that integrates cleanly with APIs and real-time decisioning systems as a cohesive, high-performing platform
• Machine learning outputs clearly and effectively surfaced to users
• AI tools applied to improve your speed and reduce errors
• Clear ownership, accountability, and strong cross-functional partnership

Why This Role

• Build and own the customer-facing experience of a company delivering real-time fraud and risk decisions
• High-impact role with direct, visible influence on product usability and customer outcomes
• Deep, hands-on frontend work on real-time, data-rich applications at scale during a critical growth phase
• Work closely with engineering, design, and data science leaders to shape the product experience

• 8+ years of software engineering experience building and delivering production web applications
• Deep expertise with modern JavaScript/TypeScript and a major frontend framework (React preferred)
• Familiarity with React, Material-UI, and Bootstrap utilities.
• Strong command of HTML and CSS, responsive design, and web accessibility (WCAG)
• Experience with component libraries / design systems and modern state management
• Experience integrating REST APIs and handling real-time data (e.g., WebSockets, SSE) in the browser
• Solid experience with frontend testing frameworks, release processes, and progressive deployment strategies (e.g., shadow mode, canary releases)
• Experience with frontend monitoring, error tracking, and web performance optimization
• Experience building and scaling applications in cloud environments (AWS preferred)
• Hands-on engineering approach, with the ability to dig into architecture, debugging, and critical system decisions
• Experience in high-growth or scaling environments, building systems through change
• Experience partnering with backend and data science teams to surface model outputs in user-facing products
• Comfort leveraging AI-assisted / agentic development tools to improve engineering productivity and reduce errors
• Strong communication skills and the ability to collaborate effectively with cross-functional partners
• Experience with data visualization, or in financial services, lending, or fraud detection, is a plus, Bachelor's or Master's (Preferred)

$119,724.95 - $144,184.89 a year - Permanent, Full-time, Pulled from the full job description

• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Health savings account
• Dental insurance
• Flexible spending account, * 401(k)
• Dental insurance
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Vision insurance

Application Question(s):

• This is an in-person position. Will you commute to the office every day?
• Our Core Values are 1) Be the Expert 2) Get it Done and 3) Pitch In - Describe in detail how you have embodied those in the past and how will you continue to honor them in the future

Point Predictive is redefining fraud detection and risk decisioning for lenders through large-scale consortium data, machine learning, and real-time systems. We are seeking a Senior Frontend Engineer to help design, build, and maintain the customer-facing web applications behind our core products - the interfaces lenders use to interact with our real-time APIs, data, and decisioning systems at scale across financial institutions. In this role you'll work closely with backend engineers, Data Science, Product, and Design to turn complex risk signals and model outputs into clear, intuitive, production-ready experiences. The ideal candidate brings strong technical depth and execution rigor - a hands-on engineer who takes ownership of the interfaces they build, raises the bar on quality and usability, and leverages modern AI tools to improve engineering velocity and reliability.