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

Responsibilities

• Opportunity to shape Plaid’s future as a company where intelligence products are a core value proposition.
• Dive into one of the most unique datasets available in the industry and shape the strategy to leverage its value.
• Work across many different areas and learn deeply about the entire Plaid product suite.
• Build products that empower millions of people to achieve financial freedom and opportunity.
• Join a high ownership team where the greenfield opportunity is extremely high.

Qualifications

• 2+ years of experience in machine learning, including deploying machine learning models into real-world, customer facing systems.
• Payment risk, fraud or trust & safety experience.
• High agency and creativity; experience identifying, defining, and proposing high impact machine learning opportunities.
• Ability to analyze large and complex financial datasets to derive insights.
• Advanced degree or equivalent work experience in Statistics, Economics, Mathematics, Data Science, or a related field.
• Proficiency in SQL, Python, and data visualization/analysis tool.
• Ability to clearly communicate complex technical systems and decision making.