Anti-Money Laundering (AML) Operations mitigates money laundering and terrorist financing risks for Citi and its customers in the global marketplace. It uses skilled analysts, state-of-the-art technology and globally standard policies and procedures to ensure effective monitoring and reporting of suspicious activities.
The AML Data Intelligence team provides best-in-class analysis and interpretation of data and enables its clients to make fact based decisions that impact all levels of the organization. For enterprise payments and new products space, the team will also provide input into better understanding customer behavior in this emerging space.
Key Responsibilities :
Conduct cross functional analysis/deep dives of critical business issues as needed to further understanding of portfolio/customer behaviors
Identify, analyse and interpret key trends and issues, create detailed reports and clear presentations outlining trends and behaviors and highlighting anomalies, as per AML Compliance guidelines
Create and present quality dashboards, including statistical analysis of the complex data sets
Generate routine and ad hoc reports
Lead project work items execution independently and with limited supervision
Evaluate and refine the methods and procedures used to obtain data in order to ensure validity, applicability, efficiency, and accuracy
Innovate and generate new ideas, concepts and approaches to improve methods of obtaining and evaluating quantitative and qualitative data
Provide written explanations of approach and analysis that supports the conclusions and observations
Interpret data and develop recommendations based on findings
Document decisions/solutions and present results using visualization techniques to display data and the results of analysis in a simple comprehensive way that can be understood by non-technical audience, as well as write more formal documentation using data science vocabulary
Think outside the box and look for new methods to constantly improve the effectiveness and efficiency of the Detection, Monitoring and Operations systems
Maintain industry leading knowledge of the tools, systems, and processes available to enhance the Citi AML analytics program
Minimum 5 years of relevant experience
Extended knowledge and experience with BI tools, data mining, data interpretation and visualisation
Analytical reporting experience of min 3-4 years
Oracle/Teradata DB development experience is essential
Proficiency in MS Excel, including VBA
Proficiency in SQL is required
SAS 4GL or R proficiency is a must
Statistical knowledge is required
Advanced data science methods knowledge (segmentation, modelling, forecasting etc.) is required
AML knowledge is a plus
At least one of Python/Java experience is preferred
Fluent English is essential
Master degree or equivalent in the science-related areas is required
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