Experience and Qualifications:
- 5+ years of hands-on experience in the realm of graph analytics on graph databases.
- Master’s degree in Computer Science, Data Science, Statistics, or a related field; a PhD would be advantageous.
- Extensive experience leading high-quality development and machine learning organizations.
- Proven ability to manage a matrix organization with diverse skilled employees.
- Previous exposure to graph-based financial fraud solutions, including synthetic fraud, first, and third-party fraud.