K2 Integrity

Senior Data Analyst-Financial Crimes/AML

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Analyst-Financial Crimes/AML for a contract position, remote in the USA. Requires a bachelor’s degree, 7+ years of experience in financial crimes/AML, proficiency in SQL, Python, R, SAS, and data visualization tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 17, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Data Analysis #Python #SAS #SQL (Structured Query Language) #R #Statistics #Consulting #Tableau #"ETL (Extract #Transform #Load)" #Data Science #Visualization
Role description
Job Description 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. This is a contract role. Job Requirements • 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. Job 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. This is a contract position. This role is work from home (USA).