Fraud & Risk Data Analyst

Paddle; United States; Remote; USD 140,000 - 230,000; Full time

Benefits offered by this job

Stock options

Unlimited holidays

Private healthcare

Well-being initiatives

Job summary

Paddle is looking for a hands-on Risk/Data Engineer to build and own the data-backed risk controls across our Merchant of Record product in the United States. You will connect signals from seller quality, buyer fraud, payment acceptance, and refunds to drive measurable loss reductions.

You’ll work at the intersection of risk, data, product, engineering and operations, turning complex problems into repeatable, production-ready capabilities with clear owners and impact assessments.

Qualifications

• Significant experience building or improving merchant- or seller-side fraud detection.
• Hands-on analytics with SQL and Python.
• Experience with decision-flow systems and risk scoring is a plus.

Responsibilities

• Build data, decisioning and automated systems to reduce fraud losses and friction.
• Define end-to-end risk signals, controls, owners and failure points.
• Backtest rules and risk scores on point-in-time data with measurable outcomes.

Skills

SQL (Snowflake/dbt)

Python

Statistics

Risk/Fraud domain knowledge

ML concepts (prototype models)

Tools

Snowflake

dbt

Job description

Paddle is looking for a hands-on Risk/Data Engineer to build and own the data-backed risk controls across our Merchant of Record product in the United States. You will connect signals from seller quality, buyer fraud, payment acceptance, and refunds to drive measurable loss reductions.

You’ll work at the intersection of risk, data, product, engineering and operations, turning complex problems into repeatable, production-ready capabilities with clear owners and impact assessments.