A leading technology platform in New York is seeking an experienced professional to join the Financial Crime Compliance team. The role involves optimizing data analytics for anti-money laundering systems and requires a bachelor's degree in a quantitative field, along with significant experience in the financial crime sector. Strong skills in SQL, Python, and data analysis are essential. This position offers a hybrid working environment.
Qualifications
5+ years of hands-on experience supporting Anti-Money Laundering (AML) systems.
Strong familiarity with financial crime industry practices.
Ability to articulate complex concepts to varied stakeholders.
Responsibilities
Lead assessment and optimization of data analytics for financial crime systems.
Enhance assigned FCC systems and ensure their stability.
Conduct data and functional testing for AML monitoring systems.
Skills
Data querying and analysis tools
Anti-Money Laundering (AML) systems support
Excellent written and communication skills
Technical expertise
Data analytics
Education
Bachelor's degree in Computer Science, Mathematics, Finance, or another quantitative field
Tools
Hive
SQL
Python
Tableau
Job description
A leading technology platform in New York is seeking an experienced professional to join the Financial Crime Compliance team. The role involves optimizing data analytics for anti-money laundering systems and requires a bachelor's degree in a quantitative field, along with significant experience in the financial crime sector. Strong skills in SQL, Python, and data analysis are essential. This position offers a hybrid working environment.