Software Engineer, Fraud
Whatnot(3 months ago)
About this role
The Software Engineer in the Fraud Experience team at Whatnot is responsible for designing and implementing machine learning-driven systems to detect and prevent fraud in the company's marketplace. This role involves leading the architecture of fraud detection systems, developing scalable data pipelines, and utilizing ML models for real-time detection and analysis of fraudulent activity. Candidates should have 4+ years of software development experience, proficiency in Python and ML libraries, and strong collaborative skills to work across product areas and engage with leadership.
Required Skills
- Fraud Detection
- System Architecture
- Machine Learning
- Data Analysis
- User Behavior Modeling
- Python Programming
- Scalable Pipelines
- Real-Time Systems
- Collaboration Skills
- Remote Work Experience
+5 more
Qualifications
- Bachelor’s degree in Computer Science
- Bachelor’s degree in Statistics
- Bachelor’s degree in Applied Mathematics
- Bachelor’s degree in Economics
- 4+ years of software engineering experience
- 1+ years writing production-grade Python code
- 1+ years of experience in machine learning or fraud prevention domains
About Whatnot
whatnot.comWhatnot is an innovative live shopping marketplace that enables users to shop, sell, and connect over their favorite collectibles and items. With over 250 categories ranging from sneakers and electronics to fashion and Pokémon cards, Whatnot creates a vibrant community for enthusiasts and collectors alike. The platform combines live auction features with a user-friendly interface, making it easy for individuals to participate in the thriving resale market. Join Whatnot today to explore unique products and connect with like-minded individuals.