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.
- 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 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
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and quantitative fields on LinkedIn. A friendly message can go a long way, and you never know who might have an inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in SQL and Python. This is your chance to demonstrate your technical prowess and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your quantitative research knowledge and be ready to discuss how you've used data to drive decisions. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Quantitative Developer: Trading Data & PnL Insights
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL and Python, as well as any relevant quantitative research projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and trading. We love seeing candidates who can articulate their interest in PnL-driven decision making and how they can contribute to our team.
Showcase Your Technical Skills:Don’t forget to mention any additional technical skills or tools you’ve worked with that could be relevant to the role. We appreciate candidates who are proactive in learning and adapting, so let us know what you bring to the table!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 the Trading Landscape
Familiarise yourself with trading concepts and PnL (Profit and Loss) insights. Being able to speak knowledgeably about how data impacts trading decisions will show that you're not just technically skilled but also understand the business side of things.
✨Prepare for Technical Questions
Expect to face technical questions or even coding challenges during the interview. Practise common algorithms and data structures, and be prepared to explain your thought process clearly while solving problems.
✨Show Your Collaborative Spirit
Since the role involves working closely with senior quants, highlight your teamwork experiences. Share examples of how you've successfully collaborated on projects in the past, and express your eagerness to learn from others in the field.
