Role overview
- Degree in a quantitative field like computer science, statistics, applied math, operations research or similar (advanced degrees preferred), or relevant work experience
- 8+ years of hands-on technical experience in a data science role or equivalent
- 3+ years of experience in fraud and risk analytics, or related area
- 3+ years of management experience building and leading teams
- Experience with machine learning techniques for fraud detection (e.g., autoencoders for anomaly detection)
- Skilled at managing cross-functional relationships and communicating with leadership across multiple teams
- Practically oriented and “getting-the-job-done” mindset
- Thriving in a fast-paced and continuously evolving environment
- Basic understanding of blockchain technology a plus
Tags & focus areas
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