Citi Statistician, R, SAS-AML Scenario Development & Enhancement Asst Vice President in Tampa, Florida
Primary Location: United States,Florida,Tampa
Education: Bachelor's Degree
Job Function: Compliance and Control
Shift: Day Job
Employee Status: Regular
Travel Time: Yes, 10 % of the Time
Job ID: 17055574
The AML Scenario Development and Enhancement (SDE) Statistician will work under the supervision of a Functional Team Manager to develop or review AML tools and scenarios and provide ongoing support for various projects.
The scope of work includes all aspects of analysis performed by the team within different projects: Scenario development, Tool Review, Segmentation, and data modeling/validation efforts depending on current needs and project plans. A primary area of focus for this position will be working on tools and scenarios review, Markets scenario development, and some aspects of Segmentation modeling, while maintaining the flexibility to switch amongst work streams based on business needs.
The SDE statistician will follow the globally consistent methodology, but is expected to have a high level of initiative and creativity and suggest enhancements to the current methodologies.
Requirements include a background in analysis using data bases, warehouses; data processing; experience with statistics and data mining. Experience and knowledge in banking and finance especially in the AML area will be a plus. In addition, the ability to read and create formal documentation is highly desirable.
Key Responsibilities include:
Conduct data-driven analysis and create reports. Apply quantitative and qualitative data analysis methods; prepare statistical and non-statistical data exploration and advanced statistical analysis to support scenario development, tool review, or segmentation work streams.
Validate data, identify data quality issues (if any), and work with Technology to address them. Analyze and interpret data reports, draw conclusions and make recommendations answering specific business needs.
Automate data extraction and data preprocessing tasks. Perform ad hoc data analyses. Design and maintain complex data manipulation processes. Provide consistent documentation and presentations.
Document solutions and present results in a simple comprehensive way to non-technical audience, as well as write more formal documentation using statistical vocabulary.
Generate new ideas, concepts and models to improve methods of obtaining and evaluating quantitative and qualitative data. Identify relationships and trends in data, as well as any factors that could affect the results of research. Question and validate assumptions. Escalate identified risks and sensitive areas in terms of methodology and processes.
Maintain an industry leading knowledge of the tools, systems and processes available for best in class AML Detection and Monitoring Operations.
May require occasional business travel.
Strong statistics and data analytics academic background and knowledge of quantitative methods
Good knowledge of SQL, Hive, SAS, and/or other data processing languages (SAS 4GL is preferable, knowledge of R is a plus)
Highly-skilled and good knowledge of MS Excel and VBA experience
Experience in reporting the results of analysis in clear written form, and in presenting the findings during meetings and conference calls
Team working experience (demonstrated team player ability required)
Understanding of technical requirements, ability to communicate with Technical Support
Experience with statistical modeling
Mantas and AML monitoring systems experience or other transaction monitoring systems a plus
Knowledge of the local/regional laws and regulations applicable to anti-money laundering
Previous experience with financial services companies (retail banking, small business banking, commercial, institutional, private banking)
Knowledge of any programming language or dedicated statistical software would be an advantage
Fluency in Spanish a plus.
Must have: Statistical/data analytical skills - including both calculation and interpretation of outcome
Methodical analysis and problem-solving skills
Initiative, creativity and attention to detail are essential
Ability to work under close supervision of senior team member, while preserving independence of thinking and responsibility for the results.
Ability to discuss reasoning, critical assessment of facts and opinions; ability of giving comprehensive answers and arguments
Conceptual and creative thinking (outside the box)
Demonstrated ability to communicate effectively, both orally and in writing, through all levels of the organization and through different business units
Self-motivated with high desire of self-development and learning
Must be able to coordinate and deal with conflicting time demands
Ability to work non-standard business hours, including weekends and holidays as determined by the business needs. Flexibility will be expected.
Communication: Very good written and verbal communication ability in an educational style. Ability to express thoughts and concepts clearly.
Teamwork: Ability to work well with a variety of people and to show team-player attitude regardless the scope of responsibilities.
Creativity: Provide input into the innovation of new and enhanced approaches. Having initiative and a proactive attitude is desirable.
Bachelor's degree in statistics/mathematics/technical science. Master’s degree preferred