Quantitative Developer - Central Liquidity Strategies

About the role

Develop and optimize applications and quantitative models, primarily using q/kdb+ and Python, with an emphasis on processing large streaming datasets efficiently. Collaborate with researchers, traders, and related teams to define integrations and deliver execution and financing solutions for the APAC initiative. Candidates should have 2–10 years of development-intensive experience at a financial institution, programming experience in compiled and interpreted languages, and proficiency in Unix. A scientific education is preferred, while q/kdb+, database familiarity, and equity electronic trading experience are advantageous; strong communication, collaboration, ownership, and prioritization skills are also expected.