ML Engineer: Payment Risk & Fraud Innovator

Plaid; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Plaid is seeking a Machine Learning Engineer focused on payment risk and fraud. You will leverage unique datasets to shape financial products and strategies, and collaborate with cross-functional teams to deliver data-driven improvements.

The ideal candidate will have a strong background in machine learning and experience with financial datasets, translating insights into scalable product features that enhance Plaid's platform and user experience.

Qualifications

• Background in machine learning and data science.
• Experience with large financial datasets is a plus.
• Ability to translate ML insights into product decisions.

Responsibilities

• Develop and deploy ML models for payment risk and fraud detection.
• Collaborate with cross-functional teams to implement data-driven solutions.

Skills

Machine Learning

Fraud Detection

Data Analysis

Tools

Python

TensorFlow

SQL

Job description

Plaid is seeking a Machine Learning Engineer focused on payment risk and fraud. You will leverage unique datasets to shape financial products and strategies, and collaborate with cross-functional teams to deliver data-driven improvements.

The ideal candidate will have a strong background in machine learning and experience with financial datasets, translating insights into scalable product features that enhance Plaid's platform and user experience.