内部审计数据分析负责人
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Internal Audit Data Analytics LeadStripe · Toronto, New York, San Francisco
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职位描述
机器翻译我们是谁
关于 Stripe
Stripe 是一个面向企业的金融基础设施平台。数百万家公司——从全球最大的企业到最有雄心的初创公司——都在使用 Stripe 来接受付款、增长收入并加速新的商业机会。我们的使命是提升互联网的 GDP，而我们面前还有大量工作要做。这意味着，你拥有一个前所未有的机会，在从事职业生涯中最重要工作的同时，让全球经济触手可及。
Stripe 打造运行互联网业务最强大、最灵活的工具。我们每年处理数千亿美元，并让全球数百万用户通过在 Stripe 上构建业务，以更快、更高效的方式实现规模化。为了推进这一重要使命，Stripe 正在打造世界一流的内部审计（IA）团队。我们的 IA 使命是随着业务增长让业务变得更好。我们全情投入于这一目标：与业务保持敏捷，由技术驱动，并加速控制整合与合规采用的速度。
关于团队
我们的 IA 团队负责就 Stripe 业务流程的设计与有效性、其对法律法规的遵守情况及其风险管理框架，向全公司提供客观反馈和洞察。我们独特的目标是一项跨职能使命，要求以广阔视角审视并在整个业务中协作。为了实现这种参与，我们必须在快速增长、高业务量的环境中建设和扩展。这是一个加入不断壮大的数据分析团队的独特机会
岗位职责
• 与 IA 团队协作，作为审计项目的一部分完成数据分析。
• 推动 AI 在整个审计团队中的使用，并在审计项目中加以利用
• 参与审计穿行测试，并为范围内领域制定工作计划
• 主导与审计团队的数据分析头脑风暴会议，讨论如何在审计计划和现场工作中最佳使用数据分析技术
• 在报告阶段协助对审计发现进行实质性测试
• 在工作底稿中记录数据分析和审计测试。
任职要求
我们正在寻找符合该职位最低要求的人选。如果你符合这些要求，我们鼓励你申请。优先资格是加分项，而非要求。
最低要求
• 5-10 年从事审计数据分析的专业经验
• 精通 SQL、schema 和 ETL 设计，以及数据管道开发/维护（例如 Airflow）。
• 熟悉用于数据挖掘和建模的脚本/编程（R、Python）以及 ETL 开发（Python）。
• 具备机器学习技术的经验和知识。
• 具备报告和可视化平台（例如 Tableau）的经验。
• 对细节有极高的关注度。
• 对打造极其优秀的产品并推动决定性影响充满热情。
• 多才多艺，并愿意在工作中学习新技术。
• 对快速变化有很高的承受能力，并能在模糊环境中应对自如。
• 出色的沟通能力，能够简明扼要地简化和分享信息。
• 统计学、计算机科学、经济学或相关定量领域的学士学位。
• 此前有高业务量交易支付环境的经验
• 对审计和数据充满热情
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
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职位描述
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
Stripe builds the most powerful and flexible tools for running an internet business. We handle hundreds of billions of dollars each year and enable millions of users around the world to scale faster and more efficiently by building their businesses on Stripe. To further this important mission, Stripe is building a world class Internal Audit (IA) team. Our IA mission is to make the business better as it grows. We are consumed with the goal of being agile with the business, powered by technology and an accelerator to the speed of controls integration and compliance adoption.
About the team
Our IA team is responsible for providing objective feedback and insights across the company in relation to the design and effectiveness of Stripe’s business processes, its compliance with laws and regulations and its risk management framework. Unique in our purpose is a cross-functional mandate that invites viewing through a wide lens and collaborating across the business. To enable this engagement, we must build and scale in a rapid-growth, high-volume environment. This is a unique opportunity to join a growing Data Analytics
岗位职责
• Complete data analytics as part of audit engagements in collaboration with the IA team.
• Drive the use of AI across the audit team and leverage it in audit engagements
• Participate in audit walkthroughs and develop work programs for the in scope areas
• Lead DA brainstorming sessions with the audit team to discuss best use of data analytics techniques in audit planning and fieldwork
• Assist with substantive testing of audit findings during reporting
• Document the data analytics and audit tests in work papers.
任职要求
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
• 5-10 years of professional experience working in audit data analytics
• Expertise with SQL, schema and ETL design, and data pipeline development/maintenance (e.g., Airflow).
• Familiarity with scripting/programming for data mining and modeling (R, Python) and ETL development (Python).
• Experience with and knowledge of machine learning techniques.
• Experience with reporting and visualization platforms (e.g., Tableau).
• Exquisite attention to detail.
• A passion for building unreasonably good products and for driving defining impact.
• Versatility and willingness to learn new technologies on the job.
• High tolerance for rapid change and ability to navigate ambiguity.
• Strong communication skills with the ability to simplify and share succinctly.
• Bachelor's degree in Statistics, Computer Science, Economics, or a related quantitative field.
• Previous experience in a high volume transactional payment environment
• Passionate about audit and data