As a Software Engineer, Fraud & Identity at ramp, you will be responsible for designing and developing software solutions to detect and prevent fraudulent activities. You will work closely with cross-functional teams to identify and mitigate risks, and develop machine learning models to improve detection accuracy. You will also be responsible for implementing and maintaining a scalable and secure architecture on AWS.
Key Responsibilities:
- Design and develop software solutions to detect and prevent fraudulent activities
- Collaborate with cross-functional teams to identify and mitigate risks
- Develop and implement machine learning models to improve detection accuracy
- Implement and maintain a scalable and secure architecture on AWS
- Work with data scientists to integrate machine learning models into production
Requirements:
- 3+ years of experience in software development
- Strong understanding of machine learning concepts and experience with Python
- Experience with Node.js and AWS
- Excellent problem-solving skills and attention to detail
- Ability to work in a fast-paced environment and prioritize multiple tasks