[Open] Job: Financial Data Scientist in Charlotte, NC
Conlan Scientific is a full-stack financial data science development services firm. We focus primarily on quantitative investment strategy development for funds, banks, and lenders.
Technical Requirements
- Bachelor's or greater in a quantitative field.
- Extensive Python programming experience. We work primarily in Python.
- Machine learning experience. Financial machine learning is a unique field requiring a strong foundation in machine learning.
- Computer science knowledge. Applicants will be tested on their computer science background.
Nice-to-haves
- JavaScript programming experience.
- Data visualization expertise.
- Django/SQLAlchemy experience.
- SQL experience.
Your Responsibilities
Work with Chris Conlan and the rest of the team to continue to develop R&D projects with our financial services clients. You will spend about half of your time working as a quant trader and the other half working on a wide variety of R&D projects for various financial services organizations.
Employment Terms
Full-time, salaried, with benefits, working on-site at our Charlotte, NC office.
How to Apply
Email hiring@conlan.io.
Recommended Reading
Interested in what we work on, how we work, and what we think is important in data science? See the following books.
- Fast Python by Chris Conlan
- Advanced in Financial Machine Learning by Marcos Lopez de Prado
- Algorithmic Trading with Python by Chris Conlan