Data Scientist
Core
Design, build, deploy, and maintain scalable machine learning systems, specifically refactoring an existing neural network for bond risk prediction and establishing firm-wide ML infrastructure.
Role type
Senior Machine Learning Engineer (Financial Risk)
Builds
Production ML models, data pipelines, feature stores, and model-serving infrastructure for bond risk prediction.
Domain
Financial Services / Machine Learning
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, AWS (Lambda, Fargate, Step Functions), Pydantic, IaC/CDK, MLOps, software engineering principles
Preferred skills
AWS Step Functions, Apache Airflow, Iceberg, Athena, Parquet, FastAPI, legacy modernization
Technologies
TensorFlow, PyTorch, Python, Pydantic, AWS Lambda, AWS Fargate, AWS Step Functions, CDK, FastAPI, ML Flow, Iceberg, Athena, Parquet
Responsibilities
Refactor neural network architecture for bond risk prediction; design and deploy ML models into production; build and maintain data pipelines and feature stores; implement automated training, testing, and deployment workflows; monitor models for drift and performance degradation; conduct code reviews.
Seniority
Senior, hands-on IC