美国 - 金融犯罪数据分析师 (SQL & 大数据集)
US - 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（美国本地）
职位类型：全职 / 合同制
关于该职位：
我们正在寻找一位注重细节且高度分析能力强的金融犯罪数据分析师，要求具备专家级 SQL 技能，并有处理大型复杂数据集的经验。该职位适合在金融犯罪分析领域有扎实背景的人选，包括反洗钱（AML）、了解你的客户（KYC）和交易监控。
作为一支美国本地团队的远程成员，你将负责分析财务数据以发现可疑活动，支持调查工作，并确保符合美国监管标准。你的见解将直接影响我们检测和预防金融犯罪的方式。
主要职责：
- 构建并优化复杂的 SQL 查询以分析高容量财务数据集
- 执行与 AML、KYC 和交易监控相关的数据驱动型调查
- 将分析结果转化为可操作的情报和监管报告
- 与合规、风险和数据工程团队合作，支持反金融犯罪计划
- 遵守美国金融法规（例如 BSA、OFAC、FinCEN）
- 维护数据治理标准，确保数据的准确性和完整性
要求：
- 精通 SQL 技能，有处理大型高复杂度数据集的经验
- 在金融犯罪分析领域（AML、KYC、交易监控）有实际经验
- 对美国金融法规和合规框架有深入了解
- 能够解读复杂数据并将其转化为清晰的业务洞察
- 熟悉数据治理实践和监管报告要求
- 有 BI/可视化工具（如 Tableau、Power BI）使用经验者优先
我们提供的福利：
- 在美国本地团队中享受 100% 远程办公
- 具有竞争力的薪酬和灵活的工作时间
- 有机会帮助打击金融犯罪并产生有意义的影响
最初发布于 Himalayas
查看英文原文
Job Title: Financial Crime Data Analyst (SQL & Large Data Sets)
Location: Remote (U.S.-based)
Job Type: Full-Time / Contract
About the Role:
We’re looking for a detail-oriented and highly analytical Financial Crime Data Analyst with expert-level SQL skills and experience working with large, complex datasets. This role is ideal for someone with a solid background in financial crime analytics, including Anti-Money Laundering (AML), Know Your Customer (KYC), and transaction monitoring.
As a fully remote member of a U.S.-based team, you'll be instrumental in analyzing financial data to uncover suspicious activity, support investigations, and ensure compliance with U.S. regulatory standards. Your insights will directly impact how we detect and prevent financial crime.
Key Responsibilities:
- Build and optimize complex SQL queries to analyze high-volume financial datasets
- Perform data-driven investigations related to AML, KYC, and transaction monitoring
- Translate analytical findings into actionable intelligence and regulatory reporting
- Collaborate with compliance, risk, and data engineering teams to support anti-financial crime initiatives
- Maintain compliance with U.S. financial regulations (e.g., BSA, OFAC, FinCEN)
- Uphold data governance standards and ensure data accuracy and integrity
Requirements:
- Advanced SQL skills, with a track record of working with large, high-complexity datasets
- Demonstrated experience in financial crime analytics (AML, KYC, transaction monitoring)
- Strong understanding of U.S. financial regulations and compliance frameworks
- Ability to interpret complex data and translate it into clear business insights
- Familiarity with data governance practices and regulatory reporting requirements
- Experience with BI/visualization tools (e.g., Tableau, Power BI) is a plus
What We Offer:
- 100% remote work within a U.S.-based team
- Competitive compensation and flexible working hours
- The opportunity to help combat financial crime and make a meaningful impact
Originally posted on Himalayas