Machine Learning Engineer - (Payment Risk/Fraud) - Embedded Insights

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. This role involves leveraging unique datasets to shape financial products and strategies. Candidates with a background in machine learning and experience in financial datasets should apply.

Plaid is dedicated to revolutionizing financial interactions through technology, enabling developers to connect financial accounts with various applications. As a Machine Learning Engineer, you will be responsible for driving machine learning initiatives specifically targeting payment risk and fraud, utilizing unique datasets to inform product development.

In this role, you will collaborate closely with cross-functional teams to build impactful financial products that empower users. The position demands high ownership and creativity, as you will explore machine learning opportunities and analyze large datasets to define effective strategies. Success will be measured by the ability to deliver innovative solutions that enhance the Plaid product suite.