Quantitative Engineer

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

This range is provided by Storm2. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$300,000.00/yr - $330,000.00/yr

It’s not your average Quant gig. We’re taking terabytes of data, millions of predictions, and thousands of models driving real trades. We are looking for talented and motivated data scientists, data engineers, and machine learning researchers to help us capture all of the data in the world and convert it into alpha.

The Stack

• AWS (S3, EC2, Batch)
• Airflow
• Terraform, Docker

Example Projects

• Identify and integrate alternative datasets to improve stock prediction
• Add and assess new risk models in our portfolio system
• Optimize dataset transformations for better ML model performance

Requirements

• 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

You’ll discover and evaluate new datasets, build models to measure their impact, and integrate the most valuable ones into our data pipeline and strategy. You’ll design and test new portfolio and trading strategies, summarize results in research reports, and help decide which to move into production.

As a senior engineer, you’ll lead key projects, set technical standards, and collaborate with peers to build reliable, high‑performance systems.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Engineering, Finance, and Research

Industries

• Financial Services and Software Development