At a Glance
- Tasks: Support and enhance data lifecycle, integrating internal and external data sources.
- Company: Join a leading systematic trading hedge fund known for its tech-driven culture.
- Benefits: Competitive daily rate, hybrid work model, and a relaxed atmosphere.
- Other info: Collaborate with smart, passionate individuals in a calm, open workspace.
- Why this job: Work with cutting-edge technology in a dynamic environment while earning great money.
- Qualifications: Degree in Computer Science or related field, strong AWS and Python experience.
The predicted salary is between 108000 - 132000 £ per year.
Python Data Engineer – Hedge Fund Contract 1200 per day Outside IR35Immediate Start Quant Capital is urgently looking for a Contract Python Data Developer to join our high profile client.
Our client is a well known Systematic Trading Hedge Fund.
They like technology especially the opensource variety as well as scalability and robust performance (much like their track record).
They currently run around 2 billion in liquid capital.
This is an environment of google or a startup where tech is number 1 the firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you.
The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions.
The atmosphere is calm and relaxed with an open dress code.
This is a role for techies, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.
Day to Day the Python Data Engineer will: Support and monitor the end-to-end lifecycle, including fixing errors and building out further functionality.
Assist ingestion of external data that will result in seamless integration of internal and external data sources.
Independently manage a code repository, documentation, and workflow from multiple teams and sources.
Communicate effectively with consumers, and external data providers to understand data formats and transformations.
The Python Data Developer Must have:2:1 Computer Science, Maths, Physics or Chemistry degree from a Red Brick UK or EU University15 years Experience in a Fund or Bank Strong AWS Experience Derivatives experience Experience of Market Data Flows Python Airflow Bloomberg Must have experience in Trading or Investment management An Understanding of computing fundamentals, object orientated programming, threading, concurrency and distributed systems My client is based in Central London Hybrid.
Contract Python Data Engineer – Hedge Fund in London employer: Quant Capital
Quant Capital is an excellent employer for those looking to thrive in the fintech sector, offering a vibrant work culture that fosters innovation and collaboration. With substantial training and development opportunities, employees can enhance their skills while enjoying a flexible hybrid work model in the heart of London. Join us to be part of a forward-thinking team that values growth and cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Contract Python Data Engineer – Hedge Fund in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Quant Capital before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Quant Capital.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Quant Capital.
We think you need these skills to ace Contract Python Data Engineer – Hedge Fund in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Quant Capital, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Quant Capital, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Quant Capital’s attention and show the tangible impact of your work.
How to prepare for a job interview at Quant Capital
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Quant Capital.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Quant Capital.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Quant Capital.
