Senior Quantitative Engineer - ML Trading & Data Systems

Storm2; San Francisco (CA); On-site; USD 300,000 - 330,000; Full time

Job summary

A data-driven financial services company in California is looking for a Mid-Senior level engineer specialized in machine learning and quantitative finance. You will lead projects to develop models, integrate valuable datasets, and optimize trading strategies. The ideal candidate has hands-on ML experience, excellent programming skills, and is ready to collaborate on technical standards in a fast-paced environment. Attractive compensation package of $300,000 to $330,000 annually.

Responsibilities

• Discover and evaluate new datasets and their impact.
• Build models to measure dataset value and integrate them.
• Design and test new portfolio and trading strategies.

Skills

Hands-on experience training and deploying ML models

Strong background with quantitative finance data

Proven ability to build scalable data systems

Excellent technical writing and documentation skills

Tools

AWS (S3, EC2, Batch)

Airflow

Terraform

Docker

Job description

A data-driven financial services company in California is looking for a Mid-Senior level engineer specialized in machine learning and quantitative finance. You will lead projects to develop models, integrate valuable datasets, and optimize trading strategies. The ideal candidate has hands-on ML experience, excellent programming skills, and is ready to collaborate on technical standards in a fast-paced environment. Attractive compensation package of $300,000 to $330,000 annually.