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.
This is a Data Science analytics manager position that is a part of the Global Data Intelligence team. The Head will play a key role to provide insight and data analysis services focusing on the AML area which includes gathering the data, interpretation of data and presentation of findings to senior management for further decision to enhance AML monitoring efficiency and effectiveness.
Accountable for all products as well as designing and implementing both the tactical and strategic analysis
Serves as the subject matter expert for strategic data analysis, identifies insights and implications, as well as make strategic recommendations and develop data displays that clearly communicate complex analysis.
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
Facilitate communications between the Business, AML Operations and Compliance to help drive conclusions
Document decisions in a consistent manner backed up by necessary data
Work with business, technology and compliance to address any data concerns
Lead cross functional analysis / deep dives of critical business issues as needed to further understanding of portfolio / customer behaviors
Identify, analyze and interpret key trends and issues, create detailed reports and clear presentations outlining trends and behaviors and highlighting anomalies, as per Regulators guidelines
Manage EMEA DI regional team
Provide written explanations of approach and analysis in plain language that supports the conclusions and observations
Interpret data and develop recommendations based on findings
Document 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 AML Detection, Monitoring and Operations systems and processes used in Citi
Maintain industry leading knowledge of the tools, systems, and processes available to enhance the Citi AML analytics program
Drive quality, reliability and usability of all work products
Transfer learning and best practices across all regions
10+ years of relevant Data Science / Analytical experience
Minimum 3 years of managerial experience
Extended knowledge and experience with Data Science tools and methods, statistics, data mining, data interpretation and visualization
Oracle / Teradata DB experience is required
Proficiency in SQL, SAS 4GL, R, Python is essential
Advanced data science methods knowledge (segmentation, modelling, forecasting etc.) is required
Proficient in PC MS desktop software
Experience in banking sector or financial analysis experience is required
Master's / University degree in related fields
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