Senior Machine Learning Engineer

<h3>📋 Description</h3> • Machine learning is integral to every financial service we provide. • This role will focus on developing groundbreaking solutions through financial risk modeling, generating substantial business and social impact. • Design, develop, A/B test, and deploy risk models while collaborating with data scientists to drive data-driven decisions. • Enhance credit and fraud models by incorporating innovative features on a quarterly basis and leveraging the latest industry research. • Monitor feature and model health, and communicate changes in model decisions. • Explore and integrate advanced technologies, including deep learning and LLMs, in the risk domain. • Lead by example to foster operational excellence and transformative change. • Expand responsibilities as new products emerge. <h3>🎯 Requirements</h3> • Bachelor’s/Master’s in Computer Science, Engineering, or equivalent industry experience. • 4+ years of machine learning experience with strong software engineering skills. • Experience with Risk modeling for financial use cases is required • Proficiency in ML techniques (LLMs, deep learning, sequence, and tree-based models); credit/fraud risk and portfolio management knowledge is a plus. • Advanced Python programming, SQL, and data manipulation skills. • Experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS Sagemaker, Databricks, GCP Vertex AI). • Excellent communication and collaboration abilities. • A passion for continuous learning and personal growth in a dynamic work environment <h3>🏖️ Benefits</h3> Equity and benefits