Senior Data Analyst
- 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) to support investigations teams and decision-making processes.
- 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.
- Advanced degree in a related field (e.g., Data Engineering, Data Science, Statistics) preferred.
- 3+ years of experience in the field.
- Proven experience in the financial crimes / AML space.
- Proficiency in Alteryx is strongly preferred.
- Proficiency in data analytics tools such as SQL, Python, R, and SAS.
- Experience with Hadoop environment is a plus but not required.
- 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.
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