英国 - 金融犯罪数据分析师（SQL 和大数据集）
UK - Financial Crime Data Analyst (SQL & Large data sets)
职位名称：金融犯罪数据分析师（SQL 与大数据集）
地点：远程办公（英国本地）
工作类型：全职 / 合同制
职位简介：
我们正在寻找一位具备强大 SQL 技能并有处理大规模复杂数据集经验的高级金融犯罪数据分析师。理想的候选人应深入了解金融犯罪框架，特别是反洗钱（AML）、了解你的客户（KYC）和交易监控分析。
在该职位中，你将作为英国本地团队的一员远程工作，通过数据驱动的洞察和可靠的报告支持金融犯罪调查。你将在识别、预防和报告金融犯罪方面发挥关键作用，为构建更安全、合规的金融生态系统做出贡献。
主要职责：
- 编写、优化和执行高级 SQL 查询，以提取和分析大量金融数据
- 对 AML、KYC 和交易监控数据进行深入分析，以识别模式、趋势和异常情况
- 将复杂的数据集转化为可操作的见解、可视化结果和合规报告
- 与跨职能团队（包括合规、风险和技术部门）合作，支持持续的调查和项目
- 确保数据完整性，并遵守数据治理和监管标准
- 根据分析结果支持监控规则和模型的开发与改进
任职要求：
- 在 SQL 方面有实际经验，包括性能优化和处理大规模数据集
- 有金融犯罪分析背景（如 AML、KYC、交易监控等）
- 具备强大的分析能力和解决问题的能力，注重细节
- 能够解读监管要求并将其应用于数据分析
- 熟悉英国及国际金融犯罪法规和数据治理最佳实践
- 有数据可视化工具（如 Power BI、Tableau）使用经验者优先
我们提供的福利：
- 在支持性的英国本地团队中提供完全远程的工作机会
- 具有竞争力的薪资和灵活的工作时间
- 在金融犯罪领域参与高影响力项目的机遇
最初发布于 Himalayas
查看英文原文
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. You’ll 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
Originally posted on Himalayas