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Senior Data Analyst-AML (Remote)

Remote: 
Full Remote
Contract: 
Fixed term
Experience: 
Senior (5-10 years)
Work from: 
New Jersey (USA), Pennsylvania (USA), United States

Offer summary

Qualifications:

Proven experience in financial crimes/AML., Proficiency in SQL, Python, R, SAS., Experience with Tableau for data visualization., Bachelor's degree in data analytics or related field..

Key responsabilities:

  • Analyze transactions and accounts for suspicious patterns.
  • Utilize data analytics tools to support investigations.

K2 Integrity logo
K2 Integrity https://www.K2Integrity.com/
201 - 500 Employees
About K2 Integrity
K2 Integrity is the preeminent risk, compliance, investigations, and monitoring firm—built by industry leaders, driven by interdisciplinary teams, and supported by cutting-edge technology to safeguard our clients’ operations, reputations, and economic security. K2 Integrity represents the merger of K2 Intelligence, an industry-leading investigative, compliance, and cyber defense services firm founded in 2009 by Jeremy M. Kroll and Jules B. Kroll, the originator of the modern corporate investigations industry, and Financial Integrity Network (FIN), a premier strategic advisory firm founded by Juan Zarate and Chip Poncy dedicated to helping clients achieve their financial integrity goals. K2 Integrity leverages unmatched multidisciplinary experience to develop cutting-edge solutions, stimulate business opportunities, and shape global economic security in a complex world. Whether it’s protecting clients’ assets or navigating the complex financial regulatory landscape to help clients identify, manage, and mitigate risk, K2 Integrity is an advisor trusted to meet and exceed clients’ goals in a rapidly changing world. To learn more about how K2 Integrity is revolutionizing the management of risk, visit our website, www.k2integrity.com.
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Job description

About Us: K2 Integrity is a leading global risk management firm specializing in financial crimes compliance, investigations, and advisory services. We are committed to providing innovative solutions to our clients and maintaining the highest standards of integrity and professionalism.

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 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.

This role will be work from home (United States)

Key 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 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.
  • At least 7 years of experience in the field.
Preferred Qualifications:
  • Experience working in a major financial institution or consulting firm.
  • Advanced degree in a related field (e.g., Data Science, Statistics, Finance).
Contract Details:
  • This is a contract position starting in March 2025 and lasting one year.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Data MiningSecurities FraudAnti Money LaunderingData AnalysisR (Programming Language)Tableau (Business Intelligence Software)Python (Programming Language)SAS (Software)SQL (Programming Language)Investment Banking

Other Skills

  • Consulting
  • Problem Solving
  • Communication
  • Analytical Skills
Are you interested?

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