Experience: - Minimum of 8+ years of overall experience and relevant experience in AML/Fraud/Compliance Risk areas. - Strong interpersonal skills with ability to work with cross-functional and cross-cultural team. This role will require to influence stakeholders. - Technical expertise regarding data analytics in the context of AML typology, risk, monitoring improvement and recommendation. - Strong analytical skills in data driven analysis with prior experience in machine learning and data algorithm technique (network science, recommendation engine, multivariate regression, text mining). - Experience in data mining tools/techniques and procedures and knowing when their use is appropriate. - Required experience with relational databases such as Oracle, SQL Server and Big Data. - Ability to present complex information in an understandable and compelling manner. - Knowledge of the local/regional laws and regulations applicable to anti-money laundering is a plus. - Cross-industry data analytics application and knowledge is a plus. Daily Operations : - Hands-on data analytics activities which includes guiding junior team members to produce analysis of the same quality. - Apply rigorous analytical methods to organize, analyze, and interpret data and reports; ensure appropriate methodology is selected to draw conclusions and make recommendations answering specific business needs. - Identify problematic areas and conduct research to determine the best course of action to correct scenario setting or data . - Drive initiatives while collaborating with regional and global team and liaising with stakeholders for effective support. - Emerging and Monitoring Risk analytics. - Provide AML scenario expertise in projects such as scenario addition, new monitoring and intelligence . - Think outside the box and look for new way to constantly improve the effectiveness and efficiency of the AML Detection, Monitoring and Investigations systems and processes. - Innovate and generate new ideas, concepts and models to institute emerging risk analytics strategy/process and execution. - Be a part of the strategic initiative in rolling out Central Intelligence and Future State. - Document solutions and present results in a simple comprehensive way to non-technical audience, as well as write more formal documentation using statistical vocabulary. - Maintain an industry leading knowledge of the tools, systems and processes available for best in class AML Detection, Monitoring and Investigation.

Pune

Data Science - AML Segment - BFSI 

Data Science - AML Segment - BFSI  ,Job Description for Data Science - AML Segment - BFSI  in Apidel Technology in  Pune for (8-12) years of experience. Apply Now!

Job Description for Data Science - AML Segment - BFSI  in Apidel Technology in  Pune for (8-12) years of experience. Apply Now!