Senior Machine Learning Engineer

Step is a next-generation financial services company focused on disrupting the banking industry by providing a mobile-first consumer experience. They are seeking an experienced Data Scientist to build and deploy Machine Learning models for Risk and Fraud detection, enhancing their systems to protect customers from fraud and financial loss.

Responsibilities:

• Build and Deploy ML Models: You’ll design, develop, and deploy machine learning models to enhance our Risk and Fraud detection systems. These models protect Step and our customers from fraud and financial loss
• Lead Technical Efforts: You’ll take the lead in the Risk/Fraud area, providing technical direction and helping shape team’s strategy
• Data Manipulation: You’ll use SQL to efficiently fetch, transform, and manipulate data, ensuring it’s ready for model development
• Code Development: You’ll write production-grade code to deliver robust machine learning solutions
• Design Experiments: You’ll apply statistics to guide experiments, determine appropriate sample sizes, and evaluate model performance
• Cross-Function Partnership: Parter with Operations Team to quickly respond to rapidly evolving events

Requirements:

• 5+ years experience in Data Science or ML Engineering
• Proficiency in SQL and Python
• Ability to communicate clearly with both technical and non-technical audiences
• Excellent data analysis skills
• Experience developing and deploying machine learning models
• Experience, but not required, in working in financial systems, including lending or risk/fraud