Citigroup AVP, AML Statistician (Scenario Development R, SAS, SQL) - Hybrid in Tampa, Florida
The AML Statistician will work under the supervision of a Functional Team Manager to provide ongoing support in terms of required analysis.
The scope of analysis will cover all aspects of analysis performed by the team within different projects: Optimization, Segmentation, Tactical Tuning tasks, and data modeling/validation efforts depending on current needs and project plans. A primary area of focus for this position will be the creation of scoring models for AML Monitoring purposes, while maintaining the flexibility to switch among work streams based on business needs.
The AML 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 statistics and/or mathematics (including experience in predictive modeling), preferably also experience with data analysis and/or data mining. Experience and knowledge in banking and finance will be desirable, as well as the ability to read and create formal statistical documentation.
Prepare and validate data, and then build and validate a scoring model using logistic regression or alternative quantitative methods.
Conduct data-driven analysis and create reports. Apply quantitative and qualitative data analysis methods; prepare statistical and non-statistical data exploration. 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.
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.
Strong statistical academic background, knowledge of quantitative methods, including predictive modeling techniques
Experience in creating and assessing Statistical Models
Highly-skilled and good working knowledge of R, & MS Office Suite. Experience using SAS is a plus.
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
Ability to manipulate data using SQL or equivalent
Experience with data exploration
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 a plus.
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
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 a functional team manager, 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.
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 required in Statistics/Mathematics/Technical Science
Master’s degree is preferred
Job Family Group:
Risk Analytics, Modeling, and Validation
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