
Fraud Analytics- Associate Senior Manager
3 days ago
This person should be passionate on Fraud - self-motivated, highly driven, quick and proactive thinker who has the passion needed to respectfully challenge the status quo and leverage global best practices.
· Hands-on experience in Analytics and Data Science.
· Model Development and exposure to Fraud detection.
· Good Understanding of LLMs and other new techniques
· Data deep dive, Insight generation, Dashboard reporting and presentation skill
· End-to-end project delivery and stakeholder management.
Educational Qualifications
a) M.Sc in Statistics, Economics or Engineering degree or Professional education in Data Science
b)
Good Knowledge of Python, R, SQL,
MS Excel, and SQL database & coding
c)
At least a bachelor's degree in mathematics, Computer Science, Engineering, Economics, Statistics
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