Job Location: Tampa, FL
The AML Senior Expert 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.
The AML Senior Expert 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.
Responsibilities:
- 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.
Required Qualifications
- 3+ Years of relevant experience.
- 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 in any of the following – Python / R / SAS
- 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.
Desirable Qualifications:
- 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 Git tools – bitbucket or any other source code management tools.
- Knowledge of any data science platforms such as Dataiku a plus.
- Experience with feature engineering, graph theory / network analytics, Machine learning ensemble methods like Random Forest and Gradient Boosting a plus.
Required Skills:
- 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.
Competencies:
- 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.
Education:
- Bachelors Degree (BA/BS from 4 Year University) in Statistics, Mathematics, Data Science, Data Analytics, Business Analytics, or related Quantitative Field required
- Master Degree preferred
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Job Family Group:
Risk Management
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Job Family:
Risk Analytics, Modeling, and Validation
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Time Type:
Full time
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Primary Location:
Tampa Florida United States
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Primary Location Salary Range:
$110,090.00 – $165,130.00
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Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Citigroup Inc. and its subsidiaries (Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View the EEO is the Law poster. View the EEO is the Law Supplement.
View the EEO Policy Statement.
View the Pay Transparency Posting
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Effective November 1, 2021, Citi requires that all successful applicants for positions located in the United States or Puerto Rico be fully vaccinated against COVID-19 as a condition of employment and provide proof of such vaccination prior to commencement of employment.
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