高级数据科学家/分析师, 金融
Senior Data Scientist / Analyst, Finance
### **关于 Polymarket**
Polymarket 是全球最大的预测市场平台。我们让个人通过交易政治、经济、体育、文化及新闻事件的结果来表达对现实事件的看法。作为一个去中心化的点对点市场，Polymarket 没有中央“庄家”，它将多样化的观点聚合为透明的、基于市场的概率，反映人们对未来的集体预期。
我们正在快速增长，无论是交易量（至今已交易 1150 亿美元）还是作为替代新闻来源的采用率。我们的目标是成为全球媒体中无处不在的真相灯塔，我们需要你的帮助来添柴加火。
### **职位描述**
Polymarket 正在寻找一位高级财务数据分析师，与我们的财务团队和数据仓库紧密合作。你将构建并负责财务报告层，将原始平台、链上和链下交易活动以及总账数据转化为干净、对账后的财务报告，人们可以信任这些报告而无需手动检查。
该职位的另一部分是分析工作。你将深入了解费用、激励措施和促销活动如何实际影响收入和留存率，包括促销的成本、回报以及带来的交易者是否留存。你将在一个快速变化的环境中工作，新产品和激励结构不断推出。
### **你将负责的工作**
- 在我们的数据仓库中构建和维护财务报告层，包括财务团队用于结账、预测和董事会报告所依赖的建模表
- 跨总账和平台数据进行对账，将业务记录与平台实际发生的情况进行对比
- 将原始交易、费用和交易活动数据转化为无需手动清理即可使用的干净财务报告
- 分析费用结构及其对交易量、收入和交易者行为的影响
- 测量激励和促销活动的回报，包括它们的成本、带来的收入以及获得的交易者是否留存
- 与财务团队合作完成月度结账、差异分析以及支持预测和投资者报告的数据
- 用定期报告取代临时请求，与数据分析工程师合作将其推广到建模层
- 编写端到端的文档，确保清晰且详尽，使团队中的任何人都能接手你的报告
查看英文原文
### **About Polymarket**
Polymarket is the world's largest prediction market platform. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized "house," Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future.
We're growing quickly, both in terms of volume ($115B traded to date) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire.
### **About the Role**
Polymarket is looking for a Senior Financial Data Analyst to sit between our finance team and our data warehouse. You'll build and own the reporting layer that finance runs on, turning raw platform, on- and off-chain trading activity, and general ledger data into clean, reconciled financial reporting that people can trust without checking it by hand first.
The other half of the role is analytical. You'll be the person who understands how fees, incentives, and promotions actually flow through to revenue and retention, including what a promotion cost, what it returned, and whether the traders it brought in stayed. And you'll do it in a fast-moving environment where new products and incentive structures launch constantly.
### **What You'll Do**
- Build and maintain the financial reporting layer in our data warehouse, including the modeled tables finance relies on for close, forecasting, and board reporting
- Work across the general ledger and platform data to reconcile what the business recorded against what actually happened on the platform
- Translate raw transaction, fee, and trading activity data into clean financial reports that need no manual cleanup before anyone can use them
- Analyze fee structures and how they affect volume, revenue, and trader behavior
- Measure the return on incentives and promotions, including what they cost, what revenue they drove, and whether the traders they acquired retained
- Partner with finance through monthly close, variance analysis, and the numbers that feed forecasts and investor reporting
- Replace ad hoc requests with recurring reporting, working with analytics engineers to promote it into the modeled layer
- Write end-to-end documentation that’s clear and thorough enough that anyone on the team can pick up your reports and models without friction
### **What We're Looking For**
- 7+ years in data analysis/science, financial analysis, or a similar role, with production experience building reporting that a finance team depends on
- Expert SQL. You can work through complex joins across transaction-level data without supervision
- Data science background including causal inference, quasi-experimental methods, or predictive modeling in Python or R
- Working knowledge of accounting fundamentals including general ledger structure, accruals, revenue recognition. You’re comfortable enough to reconcile a report and recognize when it is wrong
- Experience building in a modern cloud data warehouse such as Databricks, Snowflake, BigQuery, or ClickHouse
- A high bar for accuracy. You reconcile before you publish, and you know which numbers cannot be off by a dollar
- Comfort translating between finance and engineering, where the same word often means two different things.
- Comfortable operating in a fast-moving environment where business logic changes frequently and you need to keep pace
- (Plus) Experience with dbt or similar transformation tooling
- (Plus) Familiarity with on-chain data or crypto accounting
- (Plus) Experience in fintech, crypto, prediction markets, or other data-intensive financial products
### **Benefits**
- Competitive salary & equity
- Unlimited PTO
- Full Health, Vision, & Dental coverage
- 401k match
- Hardware setup: new MacBook Pro, big display, & accessories
### Pay Transparency
Base salary range: $200,000 to $300,000 annually, plus equity and benefits.
This range reflects a good-faith estimate for this position. Experience levels vary widely within a title here, so please reach out even if your expectations fall outside it. We're always happy to chat.