The Senior Data Analyst will analyze transactions and data, implement detection models, conduct root cause analyses, and provide actionable insights in the financial crimes and AML domain.
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:
Qualifications:
This role is hybrid, NYC (three days a week in person).
Minimum Hourly Rate: $55.00 | Maximum Hourly Rate: $85.00
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) 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:
- Proven experience in the financial crimes / AML space.
- Proficiency in Alteryx is preferred.
- Proficiency in data analytics tools such as SQL, Python, R, and SAS.
- Experience with data visualization tools like Tableau.
- 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.
- At least a bachelor's degree in data analytics or a related field.
- 3 - 5 years of experience in the field.
- Experience working in a major financial institution or consulting firm preferred.
- Advanced degree in a related field (e.g., Data Science, Statistics, Finance) preferred.
This role is hybrid, NYC (three days a week in person).
Minimum Hourly Rate: $55.00 | Maximum Hourly Rate: $85.00
Top Skills
Python
R
SAS
SQL
Tableau
Similar Jobs
Business Intelligence • Consulting
The Senior Data Analyst will analyze financial transactions to detect patterns of suspicious activity using advanced analytics tools, supporting AML investigations.
Top Skills:
PythonRSASSQLTableau
Artificial Intelligence • Digital Media • eCommerce • Marketing Tech • Software
The VP of Data Acquisition will lead data strategy, partnerships, and negotiations to acquire high-quality data, optimizing for performance and compliance with privacy standards.
Top Skills:
AIData StrategyMl
Agency • On-Demand • Professional Services • Sales • Software • Travel • Hospitality
The Market Research Manager will lead research initiatives to understand customer needs and market trends, analyzing data to provide insights to various teams.
Top Skills:
DscoutListen LabsQualtrics
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
