Qube Research & Technologies Benefits Overview

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.

Build and support a full-stack energy trading platform covering physical commodities, derivatives, nominations, positions, and risk. Collaborate directly with traders and business users to translate requirements into production features, extend support for new markets and products, maintain the platform, and contribute to technical direction and code quality.