Statistician AML, Citi

Citi

Location:
United States, Tampa

Category:
Banking

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

The AML Statistician will work under the supervision of a Functional Team Manager to provide statistical analyses and reports, validate scoring models, and perform data-driven analyses in Citi's Risk Management function. The work involves statistical validation of scoring models for AML monitoring and application of machine learning methodologies.

Job Responsibility:

Prepares and validate data, applies quantitative and qualitative analysis methods
Performs statistical and non-statistical data exploration
Identifies data quality issues and work with Technology to address them
Conducts data-driven analyses and create reports
Apply alternative machine learning methods (e.g., logistic regression, ensemble modelling, or other quantitative methods) to build models and to conduct analyses
Analyze and interpret data reports, draw conclusions, and make recommendations answering specific business needs
Documents solutions and present results in a clear, comprehensive manner to a nontechnical audience, and draft formal documentation and reports using statistical terminology
Enhances existing methodology
Review the statistics and machine-learning literature to generate new ideas, concepts, and models and to improve existing methods of obtaining and evaluating data
Escalate identified risks and sensitive areas in existing methodologies and processes
Maintains an industry-leading knowledge of the tools, systems and processes available for a best-in-class AML monitoring and detection system.

Requirements:

Strong statistical background, knowledge of quantitative methods, including predictive modeling techniques
Statistical/data analytical skills—including the calculation and interpretation of outcomes
Experience in creating and assessing Statistical Methods
A high degree of skill with R, SAS, and the MS Office Suite
Experience with Python, Hadoop, Hive and Spark, including Spark ML is a plus
Ability to develop solutions using Python as the primary programming language
An ability to manipulate data using SQL or equivalent
Experience with data exploration and SQL programming
Experience in reporting the results of analysis in a clearly written manner, and in presenting findings during meetings and conference calls
Team working experience (demonstrated team player ability required)
Understanding of the technical requirements, and an ability to communicate with Technical Support
A background in statistics and/or mathematics (including experience in predictive and ensemble decision tree modeling), as well as a working knowledge of SAS, R, and Python
Experience with data analysis and/or data mining
Experience and knowledge in banking and finance is desirable
Ability to read and create thorough, high quality, formal statistical documentation and reports
Experience with the Mantas (or alternative) AML monitoring system preferred
Knowledge of the local/regional laws and regulations applicable to anti-money laundering preferred
Previous experience working within a financial services company (retail banking, small business banking, commercial banking, etc.) preferred
Initiative, creativity, attention to detail, and basic problem-solving skills
Ability to work under the close supervision of a functional team manager, while preserving independence of thinking and responsibility for results
Ability to discuss the rationale behind a critical assessment of facts and opinions, and to provide comprehensive answers and arguments
Ability to engage in conceptual and creative out-of-the-box thinking
Demonstrated ability to communicate effectively, both orally and in writing, with all levels of the organization and across different business units
Self-motivation and a strong high desire for self-development and learning
Ability to coordinate with other members of the team and to deal with conflicting time demands
Ability to work well with a variety of people and to show a team-player attitude regardless the scope of responsibilities
Provide input on the process improvement projects and application of new and enhanced approaches
Have initiative and a proactive attitude.

Nice to have:

Experience with Python, Hadoop, Hive and Spark, including Spark ML is a plus
Experience and knowledge in banking and finance is desirable
Knowledge of the local/regional laws and regulations applicable to anti-money laundering preferred
Previous experience working within a financial services company (retail banking, small business banking, commercial banking, etc.) preferred.

What we offer:

Medical, dental & vision coverage
401(k)
Life, accident & disability insurance
Wellness programs
Paid time-off packages including vacation, sick leave, and paid holidays.

Additional Information:

Job Posted:
June 14, 2025

Expiration:
August 31, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Statistician AML