Python Quant Developer – Systematic Equities & Credit

About the role

Develop and maintain production Python applications, research tools, and financial data pipelines supporting systematic equities and credit strategies. Partner with quantitative researchers and traders to turn research needs into reliable, scalable software, and own applications through development, testing, deployment, and ongoing improvement. Strong Python development experience in a financial markets environment and experience building production-quality, maintainable software are sought. Familiarity with NumPy, Pandas, and SciPy, along with an understanding of equities markets, financial instruments, and related data, is expected; credit experience is advantageous but not essential.