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Senior Data Analyst-Financial Crimes/AML
K2 Integrity Holdings, Inc.
São Paulo
A distancia
BRL 20,000 - 30,000
Jornada completa
Hace 30+ días
Descripción de la vacante
A leading company is seeking a highly skilled Senior Data Analyst for their Financial Crimes/Anti-Money Laundering team. The role involves analyzing transactions and utilizing data analytics tools to identify suspicious patterns and risks. Candidates should have extensive experience in financial crimes and AML, with strong communication skills.
Formación
- At least 7 years of experience in financial crimes/AML.
- Proficiency in data analytics tools like SQL, Python, R, SAS.
- Strong understanding of AML/KYC regulations.
Responsabilidades
- Analyze transactions and accounts using statistical tools.
- Utilize data analytics to support investigations.
- Design financial crime detection models.
Conocimientos
Data analysis
Statistical analysis
Problem-solving
Communication
Educación
Bachelor's degree in data analytics or related field
Advanced degree (Data Science, Statistics, Finance)
Herramientas
SQL
Python
R
SAS
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:
Qualifications:
This is a contract position.
This role is work from home (Brazil).
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 (Brazil).
* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.
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