Senior Data Scientist - Financial Crime

Job description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are looking for an experienced Senior Data Scientist with strong expertise in Python, PySpark, and advanced analytics, along with a solid understanding of Financial Crime, Fraud Monitoring, and AML concepts. The ideal candidate will work on large-scale data to build, enhance, and optimize analytical and machine learning models used for fraud detection and financial crime prevention. Key Responsibilities: - Design, develop, and deploy data science and machine learning models for fraud detection, transaction monitoring, and financial crime use cases - Analyze large, complex datasets using Python and PySpark in distributed data environments - Build end-to-end analytics pipelines including data ingestion, feature engineering, model training, and validation - Apply statistical analysis, ML techniques, and pattern recognition to identify suspicious behaviors and emerging fraud typologies - Collaborate with business, compliance, and technology teams to translate financial crime requirements...