Quantitative Analyst
Paris
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDeliver analytics on trading and production data with a focus on accuracy and integrity
Manage and maintain data processes and smooth data flow across systems
Resolve data discrepancies promptly with the trading support team
Answer questions on financial metrics and trading data for traders, researchers and management
From the employer’s posting
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
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.
What you’ll bring
All qualificationsCore experience
- Strong coding skills in Python and SQL
- Ability to work efficiently with and manage large datasets
- Excellent communication skills for technical and non-technical audiences
Preferred experience
- Prior experience in a financial institution or audit firm
Qualification wording
You have strong coding skills in Python and SQL
with the ability to efficiently work with and manage large datasets
You possess excellent communication skills, allowing you to clearly explain complex data issues and methodologies to both technical and non-technical audiences.
Prior experience in a financial institution or audit firm is a plus.
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.
Posting record
Report an errorOpen 6 monthsWe first saw this posting 199 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 16, 2026 · 199 days ago
- Recorded sightings
- 233
- Last seen by us
- Nov 1, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Paris
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- Work authorization
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