Careers
Active job postings for Conlan Scientific.
[Closed] Job: Software Engineer in Bethesda, MD
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. + Computer science knowledge. Applicants … Read more ...
[Filled] Internship: Financial Data Analyst in Bethesda, MD
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 Master's candidate in a quantitative field. + Python or R programming experience. We work primarily in Python. #### Nice-to-haves + … Read more ...
[Closed] Job: Financial Data Engineer in Bethesda, MD
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. + SQL mastery. We move large workloads through SQL-based data stores. + Expertise in various … Read more ...
[Filled] Job: Financial Data Scientist in Bethesda, MD
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 … Read more ...
Articles
Data science discussions and general updates from Conlan Scientific.
Events
Your guide to events we host and sponsor around the D.C. area.
Interactive
Check out interactive data visualization pieces from us and our clients.
Press
Check us out in the news and on the airwaves.
Team
We believe good data scientists are great software developers. Our team of professionals is ready to solve your financial data challenges.