At a Glance
- Tasks: Combine data sets from financial software and learn about trading infrastructure.
- Company: Dynamic investment management firm in Central London with a hybrid work setup.
- Benefits: Competitive daily rate, exposure to cutting-edge technology, and flexible working arrangements.
- Other info: 6-month contract with potential for growth in a fast-paced environment.
- Why this job: Gain invaluable experience on a trading floor and enhance your data engineering skills.
- Qualifications: Proficiency in SQL, Python, and familiarity with AWS and DevOps.
The predicted salary is between 96000 - 96000 € per year.
The role involves combining several data sets from various financial software. You will gain massive exposure to trading infrastructure in a trading environment, as well as learning data flows from Bloomberg and how a trading floor works. The client is based in Central London and offers a hybrid work setup.
Requirements:
- SQL
- Python
- Data
- EC2
- DevOps
- Linux
- AWS
- Java
- Cloudwatch
Position Details:
- Contract Duration: 6 Months
- IR35 Status: Outside IR35
- Compensation: £400 per Day
Python Data Engineer - Investment Management in London - Quant Capital employer: Quant Capital
At Quant Capital, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Located in the heart of Central London, our hybrid work setup allows for flexibility while providing employees with unparalleled exposure to the fast-paced world of investment management. We are committed to supporting your professional growth through continuous learning opportunities and a strong emphasis on teamwork, making us an ideal place for those seeking meaningful and rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Python Data Engineer - Investment Management in London - Quant Capital
✨Tip Number 1
Network like a pro! Reach out to folks in the investment management space, especially those who work with data. LinkedIn is your best mate here; drop them a message and see if they can share insights or even refer you.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your SQL and Python skills, and be ready to discuss how you've used them in real-world scenarios. We all know that practical examples can really make you stand out.
✨Tip Number 3
Show off your passion for data! When you get the chance to chat with potential employers, talk about your interest in trading infrastructure and how you keep up with industry trends. It’ll show them you’re not just another candidate.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Python Data Engineer - Investment Management in London - Quant Capital
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL, Python, and any relevant cloud technologies like AWS. We want to see how your skills match the role, so don’t be shy about showcasing your projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the Python Data Engineer role and how your background in investment management can add value to our team. Keep it engaging and personal.
Showcase Relevant Experience:When filling out your application, focus on your experience with data flows and trading infrastructure. If you've worked with financial software or have insights into how a trading floor operates, let us know!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Quant Capital
✨Know Your Tech Stack
Make sure you’re well-versed in SQL, Python, and AWS. Brush up on your knowledge of EC2 and DevOps practices, as these will likely come up during the interview. Being able to discuss how you've used these technologies in past projects will show your practical experience.
✨Understand Financial Data Flows
Since the role involves working with data from financial software like Bloomberg, take some time to research how trading floors operate and the types of data flows involved. This will help you answer questions more confidently and demonstrate your interest in the investment management sector.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think about challenges you’ve faced in previous roles and how you overcame them, especially in a data engineering context. Practising these scenarios can help you articulate your thought process clearly.
✨Show Enthusiasm for Hybrid Work
With a hybrid work setup being offered, express your enthusiasm for this flexibility. Share any experiences you have with remote work or managing tasks independently, as this will highlight your adaptability and self-motivation, which are key in a hybrid environment.
