Senior Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst on a contract basis, focusing on financial crimes and AML. Requires a bachelor's degree, 3+ years of relevant experience, proficiency in SQL, Python, R, SAS, and Alteryx. Remote work within the United States.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
-
🗓️ - Date discovered
May 31, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Statistics #SAS #Alteryx #SQL (Structured Query Language) #Data Engineering #Data Analysis #Consulting #Data Science #R #Hadoop #Python
Role description
We are seeking a highly skilled Senior Data Analyst to join our Financial Crimes / Anti-Money Laundering (AML) team. This is a contract role. The ideal candidate will have a strong technical background and extensive experience in the 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) 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.
This role is work from home (United States).
fqJpQrxjYw
We are seeking a highly skilled Senior Data Analyst to join our Financial Crimes / Anti-Money Laundering (AML) team. This is a contract role. The ideal candidate will have a strong technical background and extensive experience in the 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) 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.
This role is work from home (United States).
fqJpQrxjYw
