出海雷达

高级分析工程师, 金融系统工程

Senior Analytics Engineer, Financial Systems Engineering

开发工程全球可投
公司Extend
薪资未公开
工作地点Remote
地域资格全球可投
时区要求无特别要求
用工类型未标注
发布时间22 天前
数据来源Greenhouse
前往企业招聘页投递 →
全球可投:该职位未限制候选人所在地区。仍需注意薪资可能按地区折算,以及实际签约方式(正式雇佣 / 独立合同)。

关于Extend:

Extend正在通过提供由人工智能驱动的解决方案,彻底改变零售商及其客户的售后体验,从而提升客户满意度并推动收入增长。我们的全面平台提供自动化客户服务处理、无缝的退换货管理、端到端的自动化履行,以及产品和运输保护,同时结合Extend一流的欺诈检测功能。通过将前沿技术与卓越的客户服务相结合,Extend使企业能够建立消费者的信任和忠诚度,同时降低成本并提高利润。

如今,Extend与跨行业的1000多家领先商户合作伙伴合作,包括时尚/服装、化妆品、家具、珠宝、消费电子、汽车零部件、体育和健身等。Extend得到了业内一些最著名的科技投资者的支持,我们的总部位于旧金山市中心。

关于该职位:

Extend运营一个服务合同业务,其中每一美元都必须从进站的商户数据,通过我们的运营和分析数据库,进入会计系统,并重新输出到义务人、再保险人和审计报告中。

财务系统工程团队负责保持这种可追溯性自动、测试和可审计的系统和控制。你的职责范围从原始商户数据到开票和财务报告:决定哪些内容被开票和报销的模型,业务报告的财务模型,以及证明数字一致性的对账。

你将向我们的财务系统工程总监汇报。该职位需要实际的SQL和dbt技能,并有真正的所有权:你编写生成报告数字的逻辑,并为所交付的内容负责。

你会做什么:

  • 构建和维护开票和报销逻辑。计算已开票、应付款项和错误的模型,涵盖销售合同和支付索赔。
  • 在系统之间进行对账。在进站商户数据、运营数据库、仓库和会计系统之间的自动化对账。
  • 追踪差异并找到根本原因。在每一侧建立真相来源,并在源头解决断点。
  • 在dbt中构建和维护财务模型。收入确认、义务人和再保险报告以及索赔成本,包括测试、文档和PR审查。
  • 处理报告的数据问题。量化影响,确定需要谁来处理
查看英文原文

About Extend:

Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.

Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.

About the Role:

Extend runs a service-contract business where every dollar must be traceable from inbound merchant data, through our operational and analytics databases, into the accounting system, and back out to obligor, reinsurer, and audit reporting.

The Financial Systems Engineering team owns the systems and controls that keep that traceability automated, tested, and auditable. Your scope runs from raw merchant data through invoicing and financial reporting: the models that determine what gets invoiced and reimbursed, the financial models the business reports from, and the tie-outs that prove the numbers agree.

You’ll report to our Director, Financial Systems Engineering. The role is hands-on SQL and dbt with real ownership: you write the logic that produces reported numbers and you answer for what you ship.

What You’ll Do:

  • Build and maintain invoicing and reimbursement logic. The models that calculate what has been invoiced, what is due, and what is in error across contracts sold and claims paid.
  • Reconcile across systems. Automated tie-outs between inbound merchant data, operational databases, the warehouse, and the accounting system.
  • Drive variances to root cause. Establish the source of truth on each side and resolve breaks at the source.
  • Build and maintain financial models in dbt. Revenue recognition, obligor and reinsurer reporting, and claim cost, with tests, documentation, and PR review.
  • Triage reported data issues. Quantify impact, identify who needs to act, hold affected invoices pending correction, and track the systemic fix.
  • Validate claim and service order expense accuracy. Confirm reported expenses match what was paid, and extend automation across reimbursement paths.
  • Partner on merchant configuration. Support internal audits of how inbound merchant data maps to internal representations, and work with the owning teams to resolve findings.
  • Build standing financial controls. Loss ratio and anomaly monitoring by merchant, closed service orders with unexpected expenses, attribution gaps, each routed to an owner automatically.
  • Investigate and correct data against production APIs, and partner with engineering teams on the upstream fixes that stop the problem recurring.
  • Support internal and external audits with traceable, documented, reproducible results.

What We’re Looking For:

  • 4-6 years in analytics or data engineering. Building analytical or financial models in dbt (or equivalent) under version control, with testing and PR reviews.
  • Strong SQL. You write efficient, well-structured SQL against large financial datasets, and you can trace complex existing models to confirm the logic matches the business intent.
  • Reconciliation instincts. You know what a source of truth is, how to prove two systems agree, and what to do when they don’t.
  • Comfort with financial data. A wrong number here reaches an invoice, an auditor, or a partner, and you work accordingly.
  • API fluency for investigating and correcting operational data.
  • Clear written communication. You’ll explain data to accountants and account owners, and push back when a request doesn’t hold up.
  • A bias toward root cause and automation. Fixing this month’s invoice is the baseline. You want to know why it broke and how to keep it from breaking next month.
  • Comfort with ambiguity. You can shape how the work gets done when the path is not already defined.
  • Bonus: merchant reconciliation; warranty, insurance, or service-contract programs; claims and reimbursements; order-to-cash systems; NetSuite; obligor and reinsurer reporting; or AI-assisted workflows for operational triage.

Expected Pay Range: $155,000 - $170,000 per year salaried*

*The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.

Extend does not provide immigration-related sponsorship for this role.
Life at Extend:

  • Working with a great team from diverse backgrounds in a collaborative and supportive environment.
  • Competitive salary based on experience, with full medical and dental & vision benefits.
  • Stock in an early-stage startup growing quickly.
  • Generous, flexible paid time off policy.
  • 401(k) with Financial Guidance from Morgan Stanley.

Extend CCPA HR Notice

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