remote
Senior Machine Learning Engineer - Risk Modeling - Block
ML Engineer
Lead the design, development, and deployment of advanced machine learning models to predict and mitigate financial risk, leveraging Python, deep learning frameworks, and cloud infrastructure.
About the role
Key Responsibilities
- Design, train, and evaluate predictive models for credit, fraud, and market risk using Python and deep learning libraries such as TensorFlow or PyTorch.
- Engineer high‑quality features from structured and unstructured data, collaborating with data engineers to ensure scalable pipelines.
- Deploy models to production on AWS, monitor performance, and implement automated retraining workflows.
- Work closely with product, risk, and compliance teams to translate business requirements into technical solutions.
- Document model logic, assumptions, and performance metrics for internal audit and regulatory purposes.
Requirements
- 5+ years of experience building production‑grade machine learning systems in a financial services context.
- Proficiency in Python, SQL, and experience with TensorFlow or PyTorch.
- Strong understanding of statistical modeling, feature selection, and model interpretability.
- Hands‑on experience with AWS services (SageMaker, Lambda, S3, EC2) and CI/CD pipelines.
- Excellent communication skills and ability to explain complex models to non‑technical stakeholders.
Skills
pythontensorflowpytorchsqlaws