Quant Data Scientist: Finance Data Sourcing & Production

Qube Research & Technologies; Paris; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

Qube Research & Technologies (QRT) is seeking an exceptional Data Scientist to join the Data Search & Analytics team in Paris, collaborating with Research and Trading desks to improve productivity.

You will source and onboard datasets, prototype data solutions, and manage data sourcing lifecycles, with 3+ years' experience and a postgraduate quantitative degree.

Strong Python skills with Pandas/NumPy and a passion for financial markets are essential in a high-velocity environment.

Qualifications

• 3+ years of experience as a Data Scientist (or similar position)
• Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering
• Advanced programming experience in Python with Pandas and NumPy
• Demonstrable interest in financial markets and data applications
• Experience with traditional and alternative financial datasets
• Excellent communication skills and cross-functional collaboration
• Ability to work in a high-performance, high-velocity environment

Responsabilités

• Sourcing, designing and onboarding new datasets according to trading desks’ priorities
• Becoming an expert on internal tools to help desks efficiently, using data in trading systems
• Proactively solving data-related problems to minimise time to production
• Managing the full lifecycle of data sourcing projects from acquisition to production

Connaissances

Python

Pandas

NumPy

Data handling

Communication

Collaboration

High-performance environment

Formation

Postgraduate degree in Mathematics, Physics or Engineering

Outils

Python

Description du poste

Qube Research & Technologies (QRT) is seeking an exceptional Data Scientist to join the Data Search & Analytics team in Paris, collaborating with Research and Trading desks to improve productivity.

You will source and onboard datasets, prototype data solutions, and manage data sourcing lifecycles, with 3+ years' experience and a postgraduate quantitative degree.

Strong Python skills with Pandas/NumPy and a passion for financial markets are essential in a high-velocity environment.