Description
Paddle is looking for a Staff Analyst to build data, decisioning, and automated systems that allow the company to take more good risk while reducing fraud losses, unnecessary customer friction, and manual work.
The successful candidate will work hands-on with SQL, Python, statistics, and modern AI-assisted tools to explore data, test hypotheses, prototype controls, and evaluate results.
Key responsibilities include:
- Mapping the end-to-end seller risk system, its data, decisions, controls, owners, and failure points
- Establishing a baseline for fraud losses, alert yield, time-to-detect, exposure at detection, and analyst effort
- Building and maintaining a labelled library of confirmed fraud cases and a shared fraud typology
- Designing seller risk tiers that set payout timing, reserves, and limits
- Backtesting rules and risk scores on point-in-time data
- Producing decision artefacts that let senior leaders make trade-offs about risk appetite, engineering investment, customer experience, and commercial growth
The ideal candidate will have significant experience building or improving merchant- or seller-side fraud detection, strong hands-on analytical ability, and fluency in SQL, Python, and statistics.
We offer a full suite of benefits, including attractive salaries, stock options, unlimited holidays, enhanced parental leave, retirement plans, private healthcare, and well-being initiatives.
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