At a Glance
- Tasks: Combine data sets from financial software and learn about trading infrastructure.
- Company: Dynamic investment management firm based in Central London.
- Benefits: Hybrid work setup and competitive daily rate.
- Other info: 6-month contract with opportunities for growth.
- Why this job: Gain hands-on experience in a fast-paced trading environment.
- Qualifications: Proficiency in SQL, Python, and cloud technologies.
The predicted salary is between 104000 - 104000 € 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 employee growth, offering continuous learning opportunities and the chance to work alongside industry experts in a supportive environment.
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 people in the investment management sector, especially those working with data engineering. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your Python and SQL projects, make sure to share it during interviews. It’s a great way to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for technical questions! Brush up on your knowledge of AWS, DevOps, and Linux. Practising common interview questions related to these topics can give you the edge you need.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes get you noticed faster than through other channels.
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. 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 makes you a great fit for our team.
Showcase Your Technical Skills:Don’t forget to mention your experience with AWS, DevOps, and Linux. We love seeing candidates who can demonstrate their technical prowess, especially in a trading environment!
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 don’t miss out on any important 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 any other technologies mentioned in the job description. Brush up on your knowledge of AWS and DevOps practices, as these will likely come up during technical questions.
✨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 show your interviewer that you’re not just a tech whiz but also understand the business context.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think about past experiences where you’ve had to combine data sets or troubleshoot issues in a trading environment, and be ready to discuss them in detail.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that demonstrate your interest in the role and the company. Inquire about the team dynamics, the tools they use for data integration, or how they measure success in this position.
