Teams at Qube Research & Technologies

Provides technical leadership for a global quantitative development team, improves research software engineering practices, automates large-scale data preparation and cleansing, builds quantitative research tools, supports productionizing trading strategies, and evolves the software platform. Requires strong Python development, agentic software development proficiency, software quality practices, collaboration, communication, and 5–10 years of quantitative development experience.

Provides first-line technical support for production data processes used by researchers, traders, and business users. Monitors pipelines, investigates failures and data-quality issues, validates datasets, assesses business impact, coordinates resolution with engineering teams, and communicates updates to stakeholders. Maintains JIRA workflows, contributes to monitoring and documentation improvements, supports onboarding, and assists with live data collection and historical backfills.

Designs and maintains financial market, pricing, and reference datasets for quantitative researchers and traders. Responsibilities include developing Python-based extraction and data processing workflows, building automated production pipelines, validating and troubleshooting data quality, onboarding new data sources, and managing evolving production data requirements. The role requires strong financial markets knowledge, advanced Python and data engineering skills, and collaboration with trading and quantitative research stakeholders.