Quantitative Strategist

Quberesearchandtechnologies; Paris; Sur place; EUR 45 000 - 65 000; Plein temps

Avantages offerts par ce poste

Mentorship from industry professionals

Exposure to large scale data analysis technology

Résumé du poste

Quberesearchandtechnologies in Paris is seeking a professional to deliver high quality analytics of trading and production data. The role involves developing new reports to assist traders and contributing to portfolio management.

The ideal candidate should hold an advanced degree in a quantitative field like data science or statistics, have experience with coding in Python or SQL, and possess excellent communication skills. Opportunities for mentorship and exposure to global business decisions will be provided.

Qualifications

• Advanced degree in data science, statistics, mathematics, physics, or engineering.
• Coding skills in at least one programming language like Python or SQL.
• Experience in finance is a plus.

Responsabilités

• Deliver high quality analytics of trading and production data.
• Develop reports and analysis tools for traders.
• Contribute to portfolio management through strategic monitoring.

Connaissances

Data analysis

Python

SQL

Communication

Formation

Advanced degree in a quantitative field

Description du poste

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Your core objective is to deliver high quality analytics of trading and production data and provide senior management with strategic outputs
• Develop new reports and analysis tools in order to help traders and researchers manage their risk on a daily basis
• Leverage your trading and market expertise by sharing production results and methodology with other traders and researchers
• Contribute to portfolio management through periodic strategic deep dives and improved continuous monitoring

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
• Coding skills required in at least one programming language (e.g. Python + SQL, VBA) and capacity to work on large datasets
• Experience in finance is a plus
• Excellent communication skills

Your enhanced experience and learning opportunities at QRT

• Mentorship from industry professionals
• Detailed practical hands‑on experience with portfolio management and analysis
• Contribution to high level decision making on global businesses
• Exposure to large scale data analysis technology
• Experience in a collaborative and collegial corporate environment