欺诈数据分析师
Fraud Data Analyst
薪资范围为每月2900至3750美元（税前，以美元计算）
关于Sezzle：
以赋能下一代财务为目标，Sezzle正在超越支付方式，重新定义购物体验，将尖端科技与无缝的、无利息的分期付款计划相结合，让购物更智能、更便捷。我们不仅在改变支付方式，更在重新定义人们如何发现、互动并购买他们喜爱的商品，通过提升转化率和提高订单价值，对商户销售产生实际影响。随着我们持续塑造金融科技和零售的未来，我们正在打造一支创新、充满活力的团队，热衷于创造的不只是交易，而是一个真正独特的购物旅程。如果你对在科技领域突破界限，并为消费者和商户带来变革性的体验充满热情，欢迎加入Sezzle，共同创造购物的未来！
关于该职位：
我们正在寻找一位注重细节且具备分析能力的欺诈数据分析师加入我们的团队。理想的候选人应热衷于发现欺诈行为，并对欺诈预防策略有深入理解。在此职位中，你将负责识别、调查和防止欺诈性交易和活动，利用你的分析技能和SQL经验进行数据查询和分析。你将在保护公司和客户免受财务损失和声誉损害方面发挥关键作用。
由于职位要求，仅接受英文简历。
你将负责：
- 监控交易和客户账户，识别并调查可疑或欺诈行为。
- 利用各种欺诈检测工具、系统和技术，识别新兴的欺诈趋势和模式。
- 对疑似欺诈行为进行深入调查，收集证据并记录发现。
- 使用SQL分析大型数据集，识别与欺诈行为相关的异常、模式和洞察。
- 开发并实施欺诈预防规则、策略和控制措施。
- 跟踪行业最佳实践、新兴欺诈威胁以及欺诈检测和预防的新技术。
我们期望你具备：
- 相关领域的学士学位（例如经济学、计算机科学、数据分析或其他相关领域）。
- 至少两年的欺诈检测、预防或相关领域的工作经验。
查看英文原文
The salary range for this role is $2.900 - 3.750 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a detail-oriented and analytical Fraud Data Analyst to join our growing team. The ideal candidate will have a passion for uncovering fraudulent activities and a strong understanding of fraud prevention strategies. In this role, you will be responsible for identifying, investigating, and preventing fraudulent transactions and activities, utilizing your analytical skills and experience with SQL to query and analyze data. You will play a crucial role in protecting our company and our customers from financial loss and reputational damage.
Due to the requirements of the position, only English resumes will be accepted.
What You'll Do:
- Monitor transactions and customer accounts to identify and investigate suspicious or fraudulent activity.
- Utilize various fraud detection tools, systems, and techniques to identify emerging fraud trends and patterns.
- Conduct in-depth investigations into suspected fraudulent activities, gathering evidence and documenting findings.
- Analyze large datasets using SQL to identify anomalies, patterns, and insights related to fraudulent behavior.
- Develop and implement fraud prevention rules, strategies, and controls.
- Stay up to date with industry best practices, emerging fraud threats, and new technologies in fraud detection and prevention.
What We Look For:
- Bachelor's degree in a relevant field (e.g. Economics, Computer Science, Analytics, or a related field).
- Minimum of two (2) years of experience in a fraud detection, prevention, or investigation role.
- Minimum of two (2) years of experience working with SQL and Python.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Understanding of common fraud typologies (e.g., account takeover, identity theft, payment fraud, etc.).
- Experience with fraud detection tools and platforms is a plus.
- Excellent written and verbal communication skills, with the ability to clearly articulate complex issues.
- Ability to work independently and as part of a team in a fast-paced environment.
- Strong organizational skills and the ability to manage multiple priorities effectively.
- High level of integrity and a commitment to ethical practices
- Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
Preferred Qualifications
- Work experience in fintech, payments, lending, banking, or financial institutions is a plus
- Degree in statistics, math, finance, economics, or related quantitative discipline; graduate degree a plus
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
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