Quantitative Engineer II
dv01Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should have 5-8 years of experience in Python programming, a strong background in mathematics, algorithms, logic, and statistics, and extensive database experience, preferably with MySQL. A Bachelor's or Master's degree in Computer Science or a STEM field is required, along with proficiency in Python packages like Pandas, NumPy, and DashApps, and hands-on experience with AWS and Docker. Interest and knowledge in finance, particularly Options, Stocks, and Bonds, are also necessary.
The Quantitative Python Developer will design, code, test, and support reliable software applications and services, participating in cross-functional feature requirements gathering, design, and implementation. They will collaborate with product management to prioritize development sprints, perform code reviews, and provide constructive feedback to fellow engineers. The role also involves focusing on user experience by understanding product usage and gathering feedback to enhance usability, tackling coding challenges, and continuously learning to deliver effective software solutions while working collaboratively with colleagues.