Perform designing, implementing and maintaining systems that detect, investigate and mitigate financial crimes primarily be focused on model development and associated data science activities
Engineers / data science backgrounds with transaction monitoring background
The role combines transaction monitoring domain expertise with technical skills in Data Science, Machine Learning, PySpark programming.
Experience in designing and deploying AI/ML products, hands-on and as a manager
Develop and maintain AI driven monitoring engines that scrutinize financial transactions in real time.
Identify suspicious pattern, anomalies or deviations indicative or money laundering or fraud.
Solution design of Machine Learning models on Transaction Monitoring systems.
Significant experience as a Data Scientist for complex financial services environments.
Technical skills in AI/ML, PySpark, Data Science and knowledge on banking regulatory compliances and financial crime domain knowledge.