At a Glance
- Tasks: Build and enhance data infrastructure while collaborating with senior quants.
- Company: Engelhart CTP Group, a leading firm in trading and quantitative research.
- Benefits: Competitive salary, bonuses, and comprehensive benefits package.
- Other info: Join a dynamic team in London with great career growth potential.
- Why this job: Dive into data engineering and make impactful decisions in trading.
- Qualifications: Degree in a quantitative field and experience with SQL and Python.
The predicted salary is between 60000 - 80000 £ per year.
Engelhart CTP Group is looking for a technically strong Quantitative Developer in their London office. This full-time role focuses on data engineering, quantitative research, and trading with exposure to PnL-driven decision making.
The successful candidate will build and enhance data infrastructure while collaborating closely with senior quants. The role requires a degree in a quantitative field and experience with SQL and Python, among other technical skills.
Engelhart offers a competitive salary, bonuses, and comprehensive benefits.
Quantitative Developer: Trading Data & PnL Insights in London employer: Engelhart CTP Group
Engelhart CTP Group is an excellent employer for those seeking a dynamic and rewarding career in quantitative development. With a strong focus on employee growth, the London office fosters a collaborative work culture where innovative ideas are encouraged, and team members can thrive through exposure to cutting-edge data engineering and trading practices. The competitive salary, bonuses, and comprehensive benefits package further enhance the appeal of joining a company that values its employees and their contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer: Trading Data & PnL Insights in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Engelhart CTP Group on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your SQL and Python projects. We want to demonstrate our technical prowess and how we can contribute to data engineering and quantitative research.
✨Tip Number 3
Ace the interview! Brush up on common quantitative developer interview questions and practice coding challenges. We need to be ready to impress with our problem-solving skills and knowledge of trading data.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight our fit for the role in data infrastructure and PnL insights.
We think you need these skills to ace Quantitative Developer: Trading Data & PnL Insights in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical skills, especially in SQL and Python. We want to see how you can apply these in a quantitative context, so don’t hold back on showcasing your projects or experiences!
Tailor Your Application:Take the time to customise your CV and cover letter for this role. Mention specific experiences that relate to data engineering and trading insights, as this will show us you’re genuinely interested in the position.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the Quantitative Developer role.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Engelhart CTP Group
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand PnL Insights
Since the role involves PnL-driven decision making, it’s crucial to understand how trading data impacts profit and loss. Prepare to discuss how you’ve used quantitative analysis to influence trading strategies in the past.
✨Showcase Your Collaboration Skills
This position requires close collaboration with senior quants, so be prepared to share examples of how you've successfully worked in teams. Highlight any experiences where you contributed to a project or helped solve a problem collectively.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their data infrastructure or how they measure success in trading decisions to demonstrate your enthusiasm and understanding of the field.
