Engineering Manager, Risk Engineering

Summary

Join Flex, a NYC-based FinTech company revolutionizing rent payments, as a Risk Domain Leader. You will lead a team of backend and full-stack developers, building and enhancing a scalable Risk Platform. This hands-on role requires coding, platform development, and strategic vision alignment. You'll mentor engineers, drive DevOps best practices, and manage key projects like the Core Decision Platform and real-time fraud monitoring. The ideal candidate possesses extensive risk domain experience, strong Java skills, and expertise in building scalable architectures. Flex offers competitive compensation and a comprehensive benefits package.

Requirements

• Minimum of 6 years in risk domains, with at least 3 years as a manager or tech lead
• 8+ years of experience in software engineering, including 4+ years with Java
• Bachelor’s degree or higher in Computer Engineering or a related field
• Proficiency in Java frameworks and tools used at Flex: Spring (core/web/boot), Gradle, JUnit, and JVM optimization
• Expertise in Service-Oriented Architecture, REST APIs, Message Queues, and scalable architecture
• Familiarity with AWS tools (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization
• Strong experience in delivering high-impact products end-to-end, with a focus on quality and timeliness. You are able to think rigorously and make hard decisions and tradeoffs
• Ability to make analytical, data-driven decisions and recover quickly from setbacks
• Strong written and verbal communication skills, with mentoring experience across various seniority levels

Responsibilities

• Lead a skilled team of backend and full-stack developers to build and enhance a scalable, best-in-class Risk Platform that supports Flex’s current and future risk products
• Develop a comprehensive understanding of risk from company, product, and customer perspectives
• Align customer needs with our technical capabilities to deliver a strategic technical vision, influencing cross-functional partners to ensure that deliverables align with our north star goals in risk management while enhancing the quality of our platform
• Support the professional growth of your engineers, mentor teammates in agile development practices, and work closely with partners to plan, prioritize, and deliver scalable and reliable products
• Drive DevOps best practices to ensure a robust incident response process and maintain a resilient test, build, and deployment pipeline
• Manage the end-to-end platform for business rule, analytics, and ML/AI-driven decision-making
• Support real-time data ingestion for rapid risk rule/policy setup
• Enable advanced experimentation tools with adaptive algorithms for risk prevention
• Deploy configurable systems to detect and respond to fraud in real-time
• Integrate ML/AI models as microservices for enhanced risk detection

Preferred Qualifications

• Extensive experience in adversarial domains such as Credit Risk, Fraud, Trust, or Safety
• Hands-on experience in building, designing, or managing decision platforms or rules engine architectures within the risk domain
• Proven track record in developing Data and ML/AI systems tailored to risk management
• Strong familiarity with big data platforms and tools like Snowflake for scalable data processing and analysis
• Proficiency in observability and monitoring tools (e.g., DataDog) to maintain high system availability and reliability

Benefits

• Competitive pay
• 100% company-paid medical, dental, and vision
• 401(k) + company equity
• Unlimited paid time off with a PTO minimum + 13 company paid holidays
• Parental leave
• Flex Cares Program: Non-profit company match + pet adoption coverage
• Free Flex subscription
• Competitive Pay
• Company Equity
• Unlimited PTO