Asset Management - Equity ML Engineer - Vice President
On-site · New York City, New York, United States
Job Summary
Asset Management - Equity ML Engineer (Vice President): Design, build, and operationalize AI/ML capabilities for US Equity investment processes. Responsibilities include building scalable data ingestion and transformation pipelines for financial and alternative data, designing and deploying inference services with monitoring for large models, contributing to robust workflows (experiment tracking, reproducibility, evaluation, post-deployment monitoring), collaborating with portfolio management to develop new investment capabilities, and optimizing cost, performance, and reliability in cloud environments. Candidates should demonstrate 3+ years of experience in large-scale data and modeling pipelines, strong Python skills with REST APIs and OAuth, and proficiency with cloud platforms (AWS, Google Cloud, Azure). Preferred qualifications include NLP workflows, deep learning frameworks (PyTorch, TensorFlow), and track record deploying systems to the cloud. Interest in financial markets and Equity market investing is desirable.
Required Qualifications
- 3+ years of relevant experience building large-scale data and modeling pipelines
- Strong proficiency in Python and experience working with REST APIs and OAuth workflows
- Advanced familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure)
- Intellectual curiosity and passion for problem solving
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