Overview
Skills
Job Details
Familiarity with graph analytics or network-based fraud detection tools.
Knowledge of regulatory frameworks and compliance issues related to fraud and financial crime.
Strong communication skills with the ability to explain technical solutions to non-technical stakeholders.
Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, Economics or a related field.
Professional experience in data science.
Proficient in Python, SQL, SAS and machine learning techniques.
Experience working with large datasets and cloud platforms (e.g., AWS, Google Cloud Platform, Azure).
Understanding of supervised and unsupervised fraud detection techniques, including anomaly detection, behavioral modeling, and network analysis.
Experience with visualization tools like Tableau and Power BI.
Experience in responsible use of AI if used in solution design.
Strong analytical skills and the ability to identify patterns and trends from data.