Quantitative Analyst
Paris
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou will manage and maintain the data processes, ensuring smooth data flow across systems and resolving any discrepancies promptly with the trading support team.
From the employer’s posting
Your core objective is to deliver high-quality analytics of trading and production data, with a focus on ensuring the accuracy and integrity of the data used in decision-making. You will manage and maintain the data processes, ensuring smooth data flow across systems and resolving any discrepancies promptly with the trading support team. You will respond to inquiries related to financial metrics and trading data, providing clear and accurate insights to traders, researchers, and senior management.
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- You hold an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering. - You have strong coding skills in Python and SQL, with the ability to efficiently work with and manage large datasets. - Prior experience in a financial institution or audit firm is a plus.
Job description
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, with a focus on ensuring the accuracy and integrity of the data used in decision-making.
- You will manage and maintain the data processes, ensuring smooth data flow across systems and resolving any discrepancies promptly with the trading support team.
- You will respond to inquiries related to financial metrics and trading data, providing clear and accurate insights to traders, researchers, and senior management.
Your present skillset
- You hold an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering.
- You have strong coding skills in Python and SQL, with the ability to efficiently work with and manage large datasets.
- Prior experience in a financial institution or audit firm is a plus.
- You possess excellent communication skills, allowing you to clearly explain complex data issues and methodologies to both technical and non-technical audiences.
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
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Paris
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Apr 16, 2026
- Recorded sightings
- 203
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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