Senior Data Analyst-Financial Crimes/AML

K2 Integrity; United States; Hybrid; USD 61,992 - 82,656; Full time

Job summary

A financial integrity firm is seeking a Senior Data Analyst to join its Financial Crimes / AML team. The role involves analyzing transactions to detect potential risks using advanced analytics tools. The ideal candidate will have at least 7 years of experience in data analysis, profound knowledge of AML/KYC regulations, and the ability to translate complex data into actionable insights. This position offers a flexible work-from-home arrangement or the option to work onsite in the NYC metro area.

Qualifications

• 7+ years of experience in data analysis.
• Proficiency in SQL, Python, R, and SAS.
• Understanding of AML/KYC regulations.

Responsibilities

• Analyze transactions to identify suspicious patterns.
• Utilize analytics and visualization tools to support investigations.
• Design financial crime detection models.

Skills

SQL

Python

R

SAS

Tableau

PowerPoint

Analytical skills

Problem-solving skills

Communication skills

Education

Bachelor's degree in data analytics or related field

Advanced degree in Data Science, Statistics, or Finance

Tools

Data analytics tools

Data visualization tools

Job description

Overview

We are seeking a highly skilled and experienced Senior Data Analyst to join our Financial Crimes / Anti-Money Laundering (AML) team.

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.

Qualifications

• At least a bachelor's degree in data analytics or a related field.
• At least 7 years of experience in the field.
• 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.

Contract Details

This is a contract position. Minimum Hourly Rate: $45.00 | Maximum Hourly Rate: $60.00

Location

This role is work from home (United States) or onsite in NYC metro.