Senior Data Analyst-Financial Crimes/AML

K2 Integrity Holdings, Inc.; Ciudad de México; A distancia; MXN 60,000 - 80,000; Jornada completa

Descripción de la vacante

A financial integrity firm is seeking a Senior Data Analyst for its Financial Crimes / Anti-Money Laundering team. This remote role involves analyzing transactions and implementing detection models. The ideal candidate has at least 7 years of experience in financial crimes and AML, a bachelor's degree in data analytics, and proficiency in tools like SQL and Tableau.

Formación

• At least 7 years of experience in the field.
• Proven experience in financial crimes/AML space.
• Strong understanding of AML/KYC regulations and practices.

Responsabilidades

• Analyze and interpret transactions and accounts to identify suspicious patterns.
• Utilize data analytics and visualization tools to support investigation processes.
• Design and implement financial crime detection models.

Conocimientos

SQL

Python

R

SAS

Tableau

Data validation

Root cause analysis

Effective communication

Educación

Bachelor's degree in data analytics or a related field

Herramientas

Tableau

PowerPoint

Descripción del empleo

We are seeking a highly skilled and experienced Senior Data Analyst to join our Financial Crimes / Anti-Money Laundering (AML) team. The ideal candidate will have a strong technical background and extensive experience in financial crimes and AML space. This role involves analyzing and interpreting transactions, accounts, customers, alerts, and third-party data using advanced statistical and analytical tools to identify potential suspicious patterns, anomalies, and risks.

Responsibilities:

• Analyze and interpret transactions, accounts, customers, alerts, and third-party data using statistical and analytical tools to identify potential suspicious patterns, anomalies, and potential risks.
• Utilize data analytics tools (e.g., SQL, Python, R, SAS) and data visualization tools (e.g., Tableau, PowerPoint) to support investigations teams and decision-making processes.
• Perform data ETL, cleaning, and validation.
• Design and implement financial crime detection models and scenarios.
• Conduct root cause analyses on financial crime incidents to enhance detection and prevention strategies.
• Translate data-driven forensic analyses into actionable insights for investigators, enabling effective and efficient investigations.

Qualifications:

• At least a bachelor's degree in data analytics or a related field.
• At least 7 years of experience in the field.
• Proven experience in financial crimes/AML space.
• Proficiency in data analytics tools such as SQL, Python, R, and SAS.
• Experience with data visualization tools like Tableau and PowerPoint.
• Strong understanding of AML/KYC regulations and practices.
• Experience in designing and implementing financial crime detection models and scenarios.
• Ability to conduct root cause analyses on financial crime incidents.
• Excellent analytical and problem-solving skills.
• Strong communication skills, with the ability to translate complex data into actionable insights.

• Experience working in a major financial institution or consulting firm preferred.
• Advanced degree in a related field (e.g., Data Science, Statistics, Finance) preferred.

This is a contract position. This role is work from home (Mexico).