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- Tasks: Join our Quant Equity research team as a developer, creating cutting-edge analytics applications.
- Company: Qube Research & Technologies is a global leader in quantitative investment management.
- Benefits: Enjoy a collaborative culture, flexible work-life balance, and opportunities for professional growth.
- Why this job: Be part of an innovative team solving complex challenges with data and technology.
- Qualifications: 5+ years of software engineering experience, Python expertise, and cloud tech familiarity required.
- Other info: We value diversity and encourage a respectful, open work environment.
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:
You will be working in a constantly evolving environment as a desk-focused developer for the Quant Equity research team. As part of your role, you will:
- Design, develop, scale and maintain risk and performance analytics applications used by the business to manage portfolios and strategies.
- Build large-scale, inter-dependent data management and analytics pipelines.
- Develop and test quantitative performance metrics and reliable risk models in collaboration with the research team.
- Design interactive and web-optimized visualisation components.
- Scale your applications horizontally by leveraging cloud technologies.
- Build solutions in a highly collaborative environment, where time to market is key and user feedback is immediate.
- Take ownership of production processes to ensure constant alignment with business objectives.
- Continually expand and upgrade the team’s tech stack to accommodate the changing business needs and adapt to QRT’s evolving technical environment.
Minimum Requirements:
- A minimum of 5 years of experience as a software engineer.
- Python language expertise is a must.
- Experience with AWS or any cloud technology is a plus.
- Ability to multitask, set project priorities and work in a team.
- Ability to work in a fast-paced environment.
- Experience in a front-office context would be beneficial.
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 - Equities 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 - Equities
✨Tip Number 1
Familiarize yourself with the specific technologies and tools mentioned in the job description, especially Python and AWS. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the quantitative finance and technology sectors. Attend relevant meetups, webinars, or conferences to connect with people who work at Qube Research & Technologies or similar firms. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Demonstrate your ability to work in a fast-paced environment by sharing examples from your previous roles where you successfully managed multiple projects or adapted quickly to changing priorities. Highlighting this skill will resonate well with the team at QRT.
✨Tip Number 4
Showcase your collaborative mindset by discussing experiences where you worked closely with research teams or cross-functional groups. Emphasizing your ability to take ownership of production processes and align with business objectives will align well with QRT's culture.
We think you need these skills to ace Quantitative Developer - Equities
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Quantitative Developer position at Qube Research & Technologies. Understand the key responsibilities and required skills, especially focusing on Python expertise and experience with cloud technologies.
Tailor Your CV: Customize your CV to highlight relevant experience in software engineering, particularly in quantitative development and risk analytics. Emphasize any projects that showcase your ability to work in a fast-paced environment and your familiarity with AWS or similar technologies.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for quantitative finance and technology. Discuss how your background aligns with QRT's collaborative culture and innovation-driven approach. Mention specific examples of past projects that demonstrate your skills in developing analytics applications.
Showcase Your Technical Skills: In your application, be sure to include specific examples of your technical skills, particularly in Python and any cloud technologies you've used. If applicable, mention your experience with data management and analytics pipelines, as well as any contributions to team projects.
How to prepare for a job interview at Qube Research & Technologies Limited
✨Showcase Your Technical Skills
Make sure to highlight your expertise in Python and any experience you have with AWS or other cloud technologies. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your capability to handle the technical demands of the role.
✨Demonstrate Your Problem-Solving Abilities
QRT values a scientific approach to investing, so be ready to share examples of how you've tackled complex challenges in previous roles. Discuss your thought process and the methodologies you used to arrive at solutions, especially in a fast-paced environment.
✨Emphasize Collaboration
Since the role involves working closely with the Quant Equity research team, it's important to convey your ability to collaborate effectively. Share experiences where you've worked in a team setting, particularly in developing analytics applications or risk models, and how you incorporated user feedback into your work.
✨Align with QRT's Culture
Familiarize yourself with QRT's culture of innovation and their focus on delivering high-quality returns. During the interview, express your enthusiasm for working in a collaborative environment and your commitment to continuous learning and adapting to new technologies.
