Senior Data Analyst

K2 Integrity Holdings, Inc.; New York (NY); Remote; USD 80,000 - 100,000; Full time

Job summary

A leading company is seeking a highly skilled Senior Data Analyst for their Financial Crimes / Anti-Money Laundering team. This contract role involves interpreting financial data to identify suspicious patterns and enhance detection strategies. Candidates should have a solid background in data analysis and experience in AML, with proficiency in tools such as SQL and Python. The position offers flexibility for remote or onsite work in the NYC metro area.

Qualifications

• 3+ years of experience in the financial crimes / AML space.
• Strong understanding of AML/KYC regulations and practices.
• Experience in designing financial crime detection models.

Responsibilities

• Analyze and interpret transactions for suspicious patterns.
• Utilize data analytics to support investigations.
• Design and implement financial crime detection models.

Skills

Data analysis

Analytical skills

Communication

Education

Bachelor's degree in data analytics

Advanced degree in Data Engineering, Data Science, or Statistics

Tools

Alteryx

SQL

Python

R

SAS

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) or onsite in NYC metro.

Minimum Hourly Rate: $55.00 | Maximum Hourly Rate: $70.00