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**:
- Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational. Also, may develop, validate and strategize uses of scoring models and scoring model related policies.
- Conducts statistical analysis for risk related projects and data modeling/validation.
- Applies quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL) to extract, transform and analyze data and Visual Basic programming language.
- Prepares statistical and non-statistical data exploration, validate data, identify data quality issues.
- Conducts data analysis, data mining, read and create formal statistical documentation, reports and work with Technology to address issues.
- Analyzes and interprets data reports, make recommendations addressing business needs.
- Uses Predictive modeling methods, Optimizing monitoring systems, document optimization solutions,



and present results to non-technical audiences; create formal documentation using statistical vocabulary.
- Generates statistical models to improve methods of obtaining and evaluating quantitative and qualitative data and identify relationships and trends in data and factors affecting research results.
- Validates assumptions; escalate identified risks and sensitive areas in methodology and process.
- Automates data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes, and provide documentation and presentations.
**Qualifications**:
- 5-8 years' experience
- Proficient in Microsoft Office with an emphasis on MS Excel
- Consistently demonstrates clear and concise written and verbal communication skills
- Self-motivated and detail oriented
- Demonstrated project management and organizational skills and capability to handle multiple projects at one time
**Education**:
- Bachelor’s/University degree or equivalent experience
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.
**Key Responsibilities include**:
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**:
- Strong statistical academic background, knowledge of quantitative methods, including predictive modeling techniques.
- Advanced English level
- Experience in creating and assessing Statistical Models.
- 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.
- Experience in reporting the results of analysis in a clearly written manner, and in presenting findings during meetings and conference calls.
- Team working expe

📌 Anti Money Laundering (Aml) Statistician - Independent Validation R, Sas, SQLHybrid Located in Ciudad de México
🏢 Citi
📍 Ciudad de México