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Data Analyst (FinCrime Focus - Contract) Remote

CAPITEX London, Vereinigtes Königreich
Gepostet vor 15 Stunden Festanstellung Competitive

Data Analyst (FinCrime Focus - Contract) Remote

CAPITEX London, Vereinigtes Königreich
Data Analyst (FinCrime Focus - Contract) Remote

Assignment Overview



We are seeking an experienced
Data Analyst to support ongoing Financial Crime (FinCrime) data initiatives on a
short-term contract basis . The role focuses on
data analysis, SQL querying, and Excel-based reporting , ideally within a financial crime or compliance context.



This is a
remote role suitable for candidates based in the
UK (preferred) or
US , offering flexible working hours and the opportunity to contribute to high-impact FinCrime analytics projects.




Requirements


Required Skills and Experience



  • Strong proficiency in SQL and Excel

  • Demonstrated experience in data analysis and data interpretation

  • Experience working with large, complex datasets

  • Excellent analytical and problem-solving abilities, with attention to detail

  • Clear communication skills and ability to work independently in a remote environment

  • Comfortable working under flexible engagement terms




Preferred (not mandatory):



  • Background in Financial Crime Compliance (FinCrime), AML, Sanctions, or PEP data analysis

  • Experience extracting insights from FinCrime systems or datasets

  • Exposure to data-driven compliance or risk management projects

  • 3-15 years of total work experience (flexible depending on depth of data experience)




Interview Process



  • Stage 1: Technical assessment (SQL and data analysis test)

  • Stage 2: Interview with hiring manager or project lead




Key Notes for Candidates



  • This contract provides flexibility but also requires adaptability due to the zero-hours model.

  • Strong self-management, communication, and reliability are essential for success in this engagement.

  • FinCrime domain experience will be considered a significant advantage but is not essential if data capability is strong.

Job ID  668E20C2DE
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