Full job descriptionfind below JD for ML engineer/Architect:


*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.