Mensura e analisa a performance do e-commerce, implementando tracking em GA4 e GTM e transformando dados das jornadas dos clientes em insights para apoiar decisรตes e melhorias digitais.
UK - Financial Crime Data Analyst (SQL & Large data sets)
๐ Description
- Write, optimize, and execute advanced SQL queries to extract and analyze large volumes of financial data
- Conduct in-depth analysis of AML, KYC, and transaction monitoring data to identify patterns, trends, and anomalies
- Translate complex datasets into actionable insights, visualizations, and compliance reports
- Collaborate with cross-functional teams, including compliance, risk, and technology, to support ongoing investigations and initiatives
- Ensure data integrity and adhere to data governance and regulatory standards
- Support the development and enhancement of monitoring rules and models based on analytical findings
๐ ๏ธ Requirements
- Proven expertise in SQL, including performance optimization and handling large-scale datasets
- Background in financial crime analytics (AML, KYC, transaction monitoring, etc.)
- Strong analytical and problem-solving skills with attention to detail
- Ability to interpret regulatory requirements and apply them to data analysis
- Familiarity with UK and international financial crime regulations and data governance best practices
โจ Benefits
- Fully remote role within a supportive UK-based team
- Competitive salary and flexible working hours
- Opportunity to work on high-impact projects in the financial crime domain
Full job description
Job Title: Financial Crime Data Analyst (SQL & Large Data Sets)
Location: Remote (UK-based)
Job Type: Full-Time / Contract
About the Role:
We are seeking a highly skilled Financial Crime Data Analyst with a strong command of SQL and experience working with large and complex data sets. The ideal candidate will have a deep understanding of financial crime frameworks, particularly Anti-Money Laundering (AML), Know Your Customer (KYC), and transaction monitoring analytics.
In this role, you will work remotely as part of a UK-based team, supporting financial crime investigations through data-driven insights and robust reporting. Youโll play a key role in helping to detect, prevent, and report financial crime, contributing to a safer and more compliant financial ecosystem.
Key Responsibilities:
- Write, optimize, and execute advanced SQL queries to extract and analyze large volumes of financial data
- Conduct in-depth analysis of AML, KYC, and transaction monitoring data to identify patterns, trends, and anomalies
- Translate complex datasets into actionable insights, visualizations, and compliance reports
- Collaborate with cross-functional teams, including compliance, risk, and technology, to support ongoing investigations and initiatives
- Ensure data integrity and adhere to data governance and regulatory standards
- Support the development and enhancement of monitoring rules and models based on analytical findings
Requirements:
- Proven expertise in SQL, including performance optimization and handling large-scale datasets
- Background in financial crime analytics (AML, KYC, transaction monitoring, etc.)
- Strong analytical and problem-solving skills with attention to detail
- Ability to interpret regulatory requirements and apply them to data analysis
- Familiarity with UK and international financial crime regulations and data governance best practices
- Experience with data visualization tools (e.g., Power BI, Tableau) is a plus
What We Offer:
- Fully remote role within a supportive UK-based team
- Competitive salary and flexible working hours
- Opportunity to work on high-impact projects in the financial crime domain
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