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- Tasks: Design and evolve data systems for quantitative investment processes.
- Company: Join a leading Quantitative Hedge Fund with a collaborative culture.
- Benefits: Market-leading compensation packages and excellent career growth.
- Why this job: Make an impact in finance while working with cutting-edge data technologies.
- Qualifications: 3+ years of Python and Data Engineering experience required.
- Other info: Work closely with top portfolio managers and researchers.
The predicted salary is between 43200 - 72000 £ per year.
Our client, a major Quantitative Hedge Fund, is looking to hire an experienced Data Engineer to work closely with quantitative portfolio managers and researchers in a collaborative environment. This role offers an opportunity to join one of the world's most successful hedge funds and earn market‐leading compensation packages.
Responsibilities
- Design and evolve data systems required to enable the quantitative investment process.
- Work closely with data vendors such as Bloomberg and Refinitiv to standardise data for internal consumption.
- Automate and support the Extract, Transform, Load (ETL) processes from various market data vendors and internal operational data stores.
Qualifications
- 3+ years of relevant Python development experience, ideally on the buyside.
- 3+ years of Data Engineering experience.
- Proficiency with NumPy, SciPy, Pandas.
- Experience with LLM/ML pipelines a benefit.
- BS in Computer Science, Engineering, Statistics, or related discipline with excellent academic credentials.
To discuss the role in confidence, please reach out to Rhys at rhys.nugent@capitalmarkets.ie.
Data Engineer - Quant Hedge Fund in London employer: Capital Markets Recruitment
Contact Detail:
Capital Markets Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Quant Hedge Fund in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at hedge funds or in data engineering roles. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving data engineering or quantitative analysis. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ETL processes and data manipulation techniques. Practise coding challenges related to data structures and algorithms to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by recruiters who are looking for talent like yours.
We think you need these skills to ace Data Engineer - Quant Hedge Fund in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Python development and Data Engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your work with ETL processes and data systems!
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 how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills: Don’t forget to mention your proficiency with tools like NumPy, SciPy, and Pandas. If you have experience with LLM/ML pipelines, make sure to highlight that too! We’re looking for candidates who can hit the ground running.
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 role. Plus, it’s super easy!
How to prepare for a job interview at Capital Markets Recruitment
✨Know Your Data Inside Out
Make sure you’re well-versed in the data systems and tools mentioned in the job description. Brush up on your Python skills, especially with libraries like NumPy, SciPy, and Pandas. Being able to discuss how you've used these in past projects will show that you're not just familiar with them, but that you can apply them effectively.
✨Understand the Quantitative Landscape
Familiarise yourself with the quantitative investment process and how data engineering supports it. Be prepared to discuss how you’ve collaborated with portfolio managers or researchers in the past. This shows that you understand the bigger picture and can work well in a team environment.
✨Prepare for Technical Questions
Expect technical questions related to ETL processes and data standardisation. Think of specific examples from your experience where you automated these processes or worked with data vendors like Bloomberg and Refinitiv. Practising these scenarios will help you articulate your thought process during the interview.
✨Showcase Your Problem-Solving Skills
Quant hedge funds thrive on innovative solutions. Be ready to discuss challenges you've faced in previous roles and how you overcame them. Highlight any experience with LLM/ML pipelines, as this could set you apart from other candidates. Demonstrating your analytical thinking will resonate well with the interviewers.
