Posted:
11/11/2024, 4:00:00 PM
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
Data & Analytics
The Model/Anlys/Valid Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits.
Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
Responsibilities:
Qualifications:
Education:
The AML Statistician will work under the supervision of a Functional Team Manager (within Independent Validation covering NAM, LATAM, and Mexico) to provide statistical analyses and reports.
The scope of these analyses will cover all aspects of the work performed by IV across various Citi AML activities—e.g., optimization, segmentation, tactical tuning, KYC, etc.—depending on current needs and project plans. A primary area of focus for this position will be the validation of scoring models and scenarios for AML monitoring purposes.
The AML Statistician will follow the established globally-consistent methodology, but is expected to have a high level of initiative and creativity and be able to suggest enhancements to the current methodologies where appropriate.
Requirements include 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.
It is preferred that the candidate also have experience with data analysis and/or data mining. Experience and knowledge in banking and finance is desirable. The ability to read and create thorough, high quality, formal statistical documentation and reports is important. Fluency in Spanish is desirable but not necessary.
Key Responsibilities include:
1. Prepare and validate data. Apply quantitative and qualitative analysis methods. Perform statistical and non-statistical data exploration. Identify data quality issues and work with Technology to address them.
2. Conduct 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.
3. Document solutions and present results in a clear, comprehensive manner to a nontechnical audience, and draft formal documentation and reports using statistical terminology.
4. Enhance 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.
5. Maintain an industry-leading knowledge of the tools, systems and processes available for a best-in-class AML monitoring and detection system.
Qualifications:
Desirable to have:
Skills:
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Creativity:
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Job Family Group:
Risk Management------------------------------------------------------
Job Family:
Risk Analytics, Modeling, and Validation------------------------------------------------------
Time Type:
Full time------------------------------------------------------
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Website: https://www.citigroup.com/
Headquarter Location: New York, New York, United States
Employee Count: 10001+
Year Founded: 1812
Last Funding Type: Post-IPO Equity
Industries: Banking ⋅ Credit Cards ⋅ Financial Services ⋅ Wealth Management