Remote
Data Analyst (FinCrime Focus - Contract) Remote
Capitex
The role
Job description
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.
Originally posted on Himalayas
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Listing details
- Listed location
- United Kingdom
- Employment
- Contractor
- Published
- Jul 18, 2026
Listing trust
- Observed through
- Himalayas
- Listing last observed
- Jul 26, 2026
Work-from eligibility is based on normalized evidence in the listing: United Kingdom.
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