Senior Data Analyst

K2 Integrity Holdings, Inc.; Charlotte (NC); Remote; USD 80,000 - 110,000; Full time

Job summary

A leading company in financial compliance is seeking a Senior Data Analyst to join their Financial Crimes / Anti-Money Laundering team. This contract role involves utilizing advanced analytical tools to identify suspicious patterns and enhance prevention strategies. The ideal candidate will possess strong expertise in AML, financial crimes, and data analysis, alongside excellent communication skills to convey complex insights effectively. This position offers the flexibility of remote work within the United States.

Qualifications

• 3+ years of experience in financial crimes or AML.
• Proficiency in Alteryx is strongly preferred.
• Strong understanding of AML/KYC regulations.

Responsibilities

• Analyze transactions, accounts, and third-party data.
• Design and implement financial crime detection models.
• Translate forensic analyses into actionable insights.

Skills

Data Analysis

Problem Solving

Communication

Analytical Skills

Education

Bachelor's degree in Data Analytics or related field

Advanced degree in Data Engineering, Data Science or Statistics

Tools

SQL

Python

R

SAS

Alteryx

Job 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).