Trading Analytics & PnL Engineer

Qube Research & Technologies; Paris; Presencial; EUR 90.000 - 140.000; Jornada completa

Descripción de la vacante

Qube Research & Technologies invites you to join a cross-functional team at the intersection of trading, data, and technology. You will help build and enhance the firm’s next-generation trading analytics and PnL infrastructure, partnering with traders and quantitative researchers to improve performance and transparency.

The role emphasizes designing dashboards, developing scalable data pipelines, and automating analytics across front-office workflows.

Formación

• Strong academic background in Engineering, Computer Science, Mathematics, Quantitative Finance, or a related field.
• Strong Python and SQL skills, with an interest in building scalable solutions.
• Exposure to AWS cloud services is a plus.
• Familiarity with DevOps practices and Python packaging is a plus.
• Strong analytical and problem-solving skills.
• Interest in financial markets, trading systems, and data infrastructure.
• Ability to thrive in a fast-paced environment with high standards of accuracy and ownership.
• Strong communication skills and ability to work with front-office stakeholders.
• Collaborative mindset and intellectual curiosity.

Responsabilidades

• Acting as a trusted partner to traders and quantitative researchers, providing insights on PnL, positions, and strategy performance
• Leading investigations into PnL discrepancies and trading anomalies
• Designing and developing dashboards and analytical tools for portfolio monitoring and management
• Contributing to the evolution of QRT’s reporting and analytics platforms through automation and data architecture improvements
• Performing reconciliations between trading, valuation, and risk systems
• Working closely with technology teams to build scalable data pipelines and tools

Conocimientos

Python

SQL

AWS

DevOps

Data analysis

Communication

Trading systems

Data pipelines

Educación

Engineering/CS/Math/Quant Finance

Herramientas

AWS

Python packaging

CI/CD

Git

Descripción del empleo

Qube Research & Technologies invites you to join a cross-functional team at the intersection of trading, data, and technology. You will help build and enhance the firm’s next-generation trading analytics and PnL infrastructure, partnering with traders and quantitative researchers to improve performance and transparency.

The role emphasizes designing dashboards, developing scalable data pipelines, and automating analytics across front-office workflows.