Senior Data Scientist

About the Company

Alloy helps solve the identity risk problem for companies that offer financial products by enabling them to outpace fraud and confidently serve more people around the world. Over 800 of the world’s largest financial institutions and fintechs turn to Alloy to take control of fraud, credit, and compliance risk.

Responsibilities

• Contribute to the design, training, and evaluation of machine learning models for fraud detection
• Develop testing plans, metrics, performance reports, and actionable recommendations
• Support production ML workflows including feature generation, model training, and monitoring
• Document findings and communicate insights to internal teams
• Maintain model documentation and support model governance processes
• Stay current with industry trends in applied ML and fraud detection

Requirements

• 8+ years as an individual contributor in Applied Fraud Research, Data Science, or Machine Learning
• Proven track record in a solutions or client-facing capacity
• Expertise in working with highly imbalanced datasets and production-grade ML models (specifically tree-based models)
• Advanced proficiency in Python and SQL
• Ability to wrangle and process data at scale (billions of records)
• Experience developing metrics and dashboards
• Must be local to Greater New York City

Preferred Qualifications

• Previous experience in financial fraud detection
• Advanced Degree (Masters or PhD) in a quantitative field
• Experience managing the end-to-end lifecycle of a technical pilot or Proof of Concept
• Experience with BI tools like Looker
• Experience with modeling on graph structures

Benefits

• Unlimited PTO and flexible work policy
• Employee stock options
• Medical, dental, and vision plans with HSA and FSA options
• 401k with 100% match up to 4%
• 16 weeks of paid parental leave
• Home office stipend and annual Learning & Development stipend
• Well-being benefits including ClassPass, OneMedical, UrbanSitter, and Spring Health