[Open] Job: Financial Data Scientist in Charlotte, NC

Job Description

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 [email protected].

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