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

Stack

Responsibilities

• ▹Explore and shape the strategy for one of the most unique datasets in the industry
• ▹Work across many product areas and learn the entire Plaid product suite
• ▹Build products that empower millions of people to achieve financial freedom
• ▹Work closely with customers to ensure products meet their needs
• ▹Join a high-ownership team with significant greenfield opportunity
• ▹Maintain and enhance existing ML systems through feature development, retraining strategies, and monitoring

Requirements

• ▹2+ years of ML experience, including deploying models into real-world customer-facing systems
• ▹Payment risk, fraud, or trust & safety experience
• ▹High agency and creativity in identifying and proposing high-impact ML 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 tools
• ▹Ability to clearly communicate complex technical systems and decisions

Soft skills

What we offer

• ▹Additional compensation in the form of equity and/or commission, depending on the role
• ▹Comprehensive benefits package: medical, dental, vision insurance, and 401(k)

About the company

Plaid is a fintech company that connects developers and financial institutions, with a network covering 12,000 financial institutions across the US, Canada, the UK, and Europe. Founded in 2013 and headquartered in San Francisco, Plaid also has offices in New York, Washington D.C., London, and Amsterdam, serving customers such as Venmo, SoFi, and several Fortune 500 companies.