Engineering Manager, Risk Engineering

closed
Flex Logo

Flex

πŸ’΅ $199k-$237k
πŸ“Remote - United States

Summary

Join Flex, a NYC-based FinTech company revolutionizing rent payments, as a Risk Domain Leader. You'll lead a team of engineers building and enhancing a scalable risk platform using Java and AWS. This hands-on role requires managing key projects like a core decision platform and real-time fraud monitoring, leveraging AI/ML. You'll develop a deep understanding of risk across company, product, and customer perspectives, aligning customer needs with technical capabilities. The position demands strong leadership, technical expertise, and a data-driven approach. 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

  • 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
  • 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

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
This job is filled or no longer available