Partner with a cross-functional team to deliver industry-leading risk management products
Build production-ready pipelines for data sourcing, model development, and scoring
Build machine learning models and AI tools from design to implementation
Translate complex technical concepts into business goals
Requirements
Bachelor's degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
2 years of experience performing data analytics
Open-source languages (Python, SQL)
Experience with AWS and machine learning models
At least 1 year of experience in AML modeling or related domain (e.g. Fraud, Credit Risk)