Quantitative Engineer
Storm2, San Francisco, CA, United States
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr