Senior Machine Learning Engineer

5+ years of 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 in financial systems, including lending or risk/fraud (not required)

Design, develop, and deploy machine learning models for Risk and Fraud detection Lead technical efforts and shape team strategy in the Risk/Fraud area Use SQL to fetch, transform, and manipulate data Write production-grade code for machine learning solutions Apply statistics to guide experiments and evaluate model performance Partner with the Operations Team