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For Companies At a Glance
- Tasks: Join our Data Search & Analytics team to enhance trading productivity and efficiency.
- Company: Qube Research & Technologies is a global leader in quantitative investment management.
- Benefits: Enjoy a healthy work-life balance with diverse initiatives and programs.
- Why this job: Be part of a collaborative culture that drives innovation and high-quality returns.
- Qualifications: Advanced Python skills and 3+ years in data roles are essential.
- Other info: We value diversity and empower our employees to succeed together.
The predicted salary is between 43200 - 72000 £ per year.
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.
We are looking for an exceptional Quantitative Developer / Analyst to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency.
Your future role within QRT
This team is integral to the firm’s success. As such, your responsibilities will include:
- Sourcing, designing and onboarding new datasets according to trading desks’ priorities
- Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems
- Proactively solving data related problems in order to minimise time to production
- Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production
Your present skillset
- Advanced programming experience in Python. C/C++, C# is a plus
- 3+ years of experience as a Data Engineer/Analyst/Scientist
- Post-Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics
- Capacity to work with autonomy within a global team (researchers and data engineers)
- Experience with Bloomberg/Reuters data ecosystems
- A keen interest in financial markets, data analysis, and programming
- Fast learner, intellectual curiosity, problem solver
- Ability to work in a high-performance, high-velocity environment
- Excellent communication skills, both written and verbal
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.
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Quantitative Developer - Python (Data) employer: Qube Research & Technologies Limited
Contact Detail:
Qube Research & Technologies Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Python (Data)
✨Tip Number 1
Familiarize yourself with QRT's internal tools and data ecosystems like Bloomberg and Reuters. Understanding these systems will not only help you in the interview but also demonstrate your proactive approach to solving data-related problems.
✨Tip Number 2
Showcase your programming skills in Python by working on relevant projects or contributing to open-source initiatives. This hands-on experience will highlight your advanced programming capabilities and your ability to work autonomously.
✨Tip Number 3
Stay updated on the latest trends in financial markets and data analysis. Being knowledgeable about current events and innovations in the field will help you engage in meaningful conversations during interviews.
✨Tip Number 4
Prepare to discuss specific examples of how you've improved productivity and efficiency in previous roles. Highlighting your problem-solving skills and ability to manage data sourcing projects will align well with the responsibilities of the role.
We think you need these skills to ace Quantitative Developer - Python (Data)
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Quantitative Developer position. Understand the key responsibilities and required skills, especially focusing on Python programming and data management.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience as a Data Engineer/Analyst/Scientist. Be specific about your programming skills in Python and any experience with C/C++ or C#, as well as your familiarity with Bloomberg/Reuters data ecosystems.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your ability to proactively solve data-related problems. Highlight any projects where you improved productivity or efficiency, particularly in a high-performance environment.
Communicate Effectively: Since excellent communication skills are essential for this role, ensure that your application is clear, concise, and free of errors. Use professional language and structure your documents logically to make a strong impression.
How to prepare for a job interview at Qube Research & Technologies Limited
✨Showcase Your Python Expertise
Since advanced programming experience in Python is crucial for this role, be prepared to discuss your past projects and how you've utilized Python in data engineering or analysis. Highlight specific libraries or frameworks you've worked with that are relevant to the financial sector.
✨Demonstrate Problem-Solving Skills
QRT values proactive problem-solving abilities. Prepare examples of challenges you've faced in previous roles, particularly related to data sourcing or analytics, and explain how you approached and resolved these issues.
✨Understand Financial Markets
Having a keen interest in financial markets is essential. Brush up on current trends and be ready to discuss how data impacts trading decisions. This will show your enthusiasm and understanding of the industry.
✨Communicate Clearly and Effectively
Excellent communication skills are a must. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with non-technical team members. Clear communication can set you apart in a collaborative environment.
