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Responsibilities
- Build and deploy ML models to enhance Risk and Fraud detection systems
- Lead technical efforts in Risk/Fraud, providing direction and shaping strategy
- Use SQL to fetch, transform, and manipulate data for model development
- Write production-grade code to deliver robust machine learning solutions
- Design experiments, apply statistics, and evaluate model performance
- Partner with Operations Team to respond to evolving events
Requirements
- 5+ years experience in Data Science or ML Engineering
- Graduate degree in a technical field (e.g., statistics, computer science)
- Proficiency in SQL and Python
- Ability to communicate with technical and non-technical audiences
- Excellent data analysis skills
- Experience developing and deploying machine learning models
- Experience in financial systems, including risk/fraud, is a plus
Benefits
- Competitive salary with full medical and dental benefits
- High potential for growth
- Stock in an early-stage startup
- Flexible WFH and vacation policy
- Paid parental leave
- Employee referral program
- 401K plan
