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Career Opportunity

Model/Anlys/Valid Sr Analyst

  • Primary Location: Mexico
  • Education: Bachelor's Degree
  • Job Function: Compliance and Control
  • Schedule: Full-time
  • Shift: Day Job
  • Employee Status: Regular
  • Travel Time: No
  • Job ID: 18075143

Description


Job Description

The AML-Optimization Statistician will work within the Mexico AML Scenario Management & Validation Team which covers all aspects of quantitative analysis , with a focus on: 

• scenario development, optimization and tuning of AML monitoring system settings 
• the creation of scoring models 
• analyses in the areas of  clustering, , and statistical distributions. 

Requirements include a background in mathematical statistics, including experience in predictive modeling, and, preferably, experience with data analysis and/or data mining. The ability to read and create thorough, high quality, formal statistical documentation is essential. Experience and knowledge of banking and finance is desirable.

The AML Statistician will follow the globally consistent methodology, but is expected to have a high level of initiative, creativity, and the ability to suggest enhancements to the current methodologies. 

Key Responsibilities Include:

1. Prepare and validate data. Apply quantitative and qualitative data analysis methods; prepare statistical and non-statistical data exploration. Validate data, identify data quality issues, and work with Technology to address them.

2. Conduct data-driven analyses and create reports. Apply logistic regression, ensemble decision tree systems, or alternative 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 way to a non-technical audience, and draft formal documentation using statistical terminology.

4. Enhance methodology. Generate new ideas, concepts, and models to improve methods of obtaining and evaluating quantitative and qualitative data. Escalate identified risks and sensitive areas in terms of methodology and processes.

5. Maintain an industry-leading knowledge of the tools, systems and processes available for the best-in-class AML detection and monitoring system. 
Requirements:
Bachelor’s degree or engineer
Must have: 

• Statistical and data analytical skills, including both the calculation and interpretation of outcomes.
• Knowledge of one of the following computer programming languages: SAS, R, Python

• Experience with data Exploration (prepare and validate data, conduct data-driven analyses and create reports)
Knowledge of one of the following computer programming languages: SAS, R, Python
• SQL programing

• Desirable experience with Mantas  or other AML-transactions- monitoring systems

• Desirable Knowledge of the local/regional laws and regulations applicable to anti-money laundering

• Previous experience with financial services companies (retail banking, small business banking, commercial, institutional, private banking) is preferred
Demonstrated ability to communicate effectively in English

Skills:

• 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 to provide comprehensive answers and arguments.

•Ability to express thoughts and concepts clearly.

• Conceptual and creative out-of-the box thinking. 

• Self-motivation with a 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. 

Qualifications


Job Description

The AML-Optimization Statistician will work within the Mexico AML Scenario Management & Validation Team which covers all aspects of quantitative analysis , with a focus on: 

• scenario development, optimization and tuning of AML monitoring system settings 
• the creation of scoring models 
• analyses in the areas of  clustering, , and statistical distributions. 

Requirements include a background in mathematical statistics, including experience in predictive modeling, and, preferably, experience with data analysis and/or data mining. The ability to read and create thorough, high quality, formal statistical documentation is essential. Experience and knowledge of banking and finance is desirable.

The AML Statistician will follow the globally consistent methodology, but is expected to have a high level of initiative, creativity, and the ability to suggest enhancements to the current methodologies. 

Key Responsibilities Include:

1. Prepare and validate data. Apply quantitative and qualitative data analysis methods; prepare statistical and non-statistical data exploration. Validate data, identify data quality issues, and work with Technology to address them.

2. Conduct data-driven analyses and create reports. Apply logistic regression, ensemble decision tree systems, or alternative 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 way to a non-technical audience, and draft formal documentation using statistical terminology.

4. Enhance methodology. Generate new ideas, concepts, and models to improve methods of obtaining and evaluating quantitative and qualitative data. Escalate identified risks and sensitive areas in terms of methodology and processes.

5. Maintain an industry-leading knowledge of the tools, systems and processes available for the best-in-class AML detection and monitoring system. 
Requirements:
Bachelor’s degree or engineer
Must have: 

• Statistical and data analytical skills, including both the calculation and interpretation of outcomes.
• Knowledge of one of the following computer programming languages: SAS, R, Python

• Experience with data Exploration (prepare and validate data, conduct data-driven analyses and create reports)
Knowledge of one of the following computer programming languages: SAS, R, Python
• SQL programing

• Desirable experience with Mantas  or other AML-transactions- monitoring systems

• Desirable Knowledge of the local/regional laws and regulations applicable to anti-money laundering

• Previous experience with financial services companies (retail banking, small business banking, commercial, institutional, private banking) is preferred
Demonstrated ability to communicate effectively in English

Skills:

• 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 to provide comprehensive answers and arguments.

•Ability to express thoughts and concepts clearly.

• Conceptual and creative out-of-the box thinking. 

• Self-motivation with a 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.