At a Glance
- Tasks: Develop and optimise quantitative models for systematic trading using Python and C++.
- Company: Leading quantitative investment firm with a high-performance engineering culture.
- Benefits: Competitive salary, bonus structure, and relocation support.
- Other info: Exciting opportunity for career growth in a multi-billion-dollar asset management firm.
- Why this job: Join a dynamic team and work on impactful projects in finance technology.
- Qualifications: Bachelor's degree in Computer Science, Mathematics, or related fields required.
Primary Skills: Python, C++, quantitative, research, market data, simulation frameworks
Secondary Skills: distributed systems, cloud computing, execution systems, performance optimization, data pipelines, Linux
No. Positions: 3
Remote Status: No Remote
Client Willing to Sponsor: Yes
Degree: Bachelor's Degree in Computer Science, Mathematics, Statistics, or Operation Research ONLY
Relocation Paid: Yes
Salary Details:
- Annual Salary: £250,000 - £600,000
- Other Compensation: Base + Bonus
About the Opportunity: An established quantitative investment organization managing multi-billion-dollar assets is expanding its London engineering team. The firm combines the resources, stability, and track record of a leading investment manager with the agility and technical culture of a high-performance engineering organization.
Senior Quantitative Developer / Research & Data Eng. - LONDON - UNITED KINGDOM employer: Park Lane Recruitment Ltd
As a Senior Quantitative Developer / Research Data Engineer at our London office, you will be part of a dynamic team within a leading quantitative investment firm that values innovation and technical excellence. We offer competitive salaries, substantial bonuses, and a collaborative work culture that fosters professional growth and development, ensuring you have the resources to excel in your role. With a focus on cutting-edge technology and a commitment to employee well-being, our London location provides a vibrant environment for those looking to make a significant impact in the finance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Developer / Research & Data Eng. - LONDON - UNITED KINGDOM
✨Tip Number 1
Network like a pro! Reach out to professionals in the quantitative finance space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, C++, and data pipelines. This is your chance to demonstrate your expertise and stand out from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your quantitative skills and coding challenges. We recommend practicing with platforms that focus on algorithmic problems to get you in the right mindset.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Quantitative Developer / Research & Data Eng. - LONDON - UNITED KINGDOM
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, C++, and any quantitative research you've done. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for quantitative development and how your background in market data and simulation frameworks makes you stand out.
Showcase Your Problem-Solving Skills:In your application, include examples of how you've tackled complex problems in previous roles. We love seeing candidates who can think critically and optimise performance in distributed systems or data pipelines.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the position. Plus, it’s super easy!
How to prepare for a job interview at Park Lane Recruitment Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and C++. Brush up on your quantitative skills and be ready to discuss how you've applied them in real-world scenarios. Prepare to explain your experience with market data and simulation frameworks, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle technical problems on the spot. Practice coding challenges and think through your approach to performance optimisation and data pipelines. The interviewers will want to see how you think and solve complex issues, so don’t shy away from discussing your thought process.
✨Understand the Company’s Culture
Research the firm’s values and work culture. They pride themselves on a high-performance engineering environment, so be ready to discuss how you fit into that. Share examples of how you’ve thrived in similar settings or contributed to team success in past roles.
✨Prepare Questions That Matter
Have insightful questions ready about their systematic trading strategies and technology stack. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Ask about their approach to distributed systems and cloud computing, as these are key areas for the position.
