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- Tasks: Provide daily trading insights and build analytical tools for investment strategies.
- Company: Qube Research & Technologies is a global leader in quantitative investment management.
- Benefits: Enjoy a flexible work environment and initiatives for a healthy work-life balance.
- Why this job: Join a culture of innovation and collaboration to tackle complex challenges in finance.
- Qualifications: 3+ years as a software engineer with skills in C#, Python, and React.
- Other info: QRT values diversity and promotes an inclusive workplace for all employees.
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.
Your future role within QRT:
- Your role involves providing daily trading insights to multiple activities and asset classes within QRT.
- You will work with analysts, quants and other quantitative developers to build robust reporting and analytical tools, thus providing constant feedback on investment strategy performance to a few hundred researchers.
- Given the dynamic nature of the business, you will continually seek solutions that are both flexible and robust and which integrate seamlessly into the QRT technology landscape.
- Take ownership of production processes to ensure constant alignment with business objectives.
- Continually expand and upgrade the software infrastructure to accommodate the changing business needs.
- Adopt a systematic approach to all problem solving, allowing the firm to scale out.
Minimum Requirements:
- A minimum of 3 years of experience as a software engineer.
- C# and Python Language Experience.
- Experience with React / MUI / AG-Grid / ECharts.
- Comfortable with SQL.
- Ability to multitask and work in a team.
- Excellent communication skills and team player.
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.
Quantitative Developer - C#, React (London) employer: Placed
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - C#, React (London)
✨Tip Number 1
Familiarise yourself with Qube Research & Technologies' culture and values. Understanding their collaborative mindset and focus on innovation will help you align your approach during interviews and discussions, showcasing how you can contribute to their goals.
✨Tip Number 2
Brush up on your C# and Python skills, as well as your experience with React and related technologies. Be prepared to discuss specific projects where you've used these languages and frameworks, highlighting your problem-solving abilities and how they relate to the role.
✨Tip Number 3
Network with current or former employees of QRT through platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company’s work environment and expectations, which you can leverage during your application process.
✨Tip Number 4
Prepare to demonstrate your ability to multitask and work effectively in a team. Think of examples from your past experiences where you successfully collaborated with others and managed multiple responsibilities, as this is crucial for the dynamic nature of the role.
We think you need these skills to ace Quantitative Developer - C#, React (London)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Quantitative Developer position at Qube Research & Technologies. Tailor your application to highlight relevant experience in C#, React, and any other specified technologies.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience as a software engineer, particularly with C# and Python. Include specific projects or achievements that demonstrate your ability to build analytical tools and work collaboratively with teams.
Showcase Problem-Solving Skills: Given the emphasis on systematic problem-solving in the job description, provide examples in your application that illustrate how you've approached complex challenges in previous roles. This could include specific methodologies or frameworks you've used.
Craft a Strong Cover Letter: Your cover letter should not only express your interest in the role but also reflect your understanding of QRT's culture of innovation and collaboration. Mention how your skills align with their goals and how you can contribute to their success.
How to prepare for a job interview at Placed
✨Showcase Your Technical Skills
Make sure to highlight your experience with C#, Python, and React during the interview. Be prepared to discuss specific projects where you used these technologies, as well as any challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Given the systematic approach required for the role, be ready to walk through your problem-solving process. Use examples from your past work to illustrate how you tackle complex issues and develop robust solutions.
✨Emphasise Team Collaboration
QRT values teamwork, so share experiences that showcase your ability to work effectively within a team. Discuss how you’ve collaborated with analysts and other developers to achieve common goals and improve processes.
✨Prepare Questions About Company Culture
Since QRT promotes a culture of innovation and diversity, prepare thoughtful questions about their work environment. This shows your interest in their values and helps you assess if it’s the right fit for you.
