Requirements:

• 5-8 Years experience in Financial services and understanding of financial, compliance, legal and/or regulatory industry.
• Data scientist with strong experience in analytical/statistical skills and hands-on experience in model development/validation.
• Experience in building semi-supervised / supervised models (Ex: customer segment models and customer segment dynamic models).
• Experience in performing time series analysis.
• Hands-on experience in programming languages like R/SAS/Python.
• Strong knowledge of SQL and Hadoop to independently perform data analysis
• Experience in visualization tools like Tableau/Power BI.

Good to Have:

• Experience working in AML or Transaction monitoring space is a big plus (preferably Oracle Mantas).
• Knowledge of AML Laws (USA Patriot Act), Regulations (FED, SEC, FINRA) and AML transaction monitoring Red Flags.
• Prime BSA and Actimize knowledge is a big plus.