At a Glance
- Tasks: Support and enhance a data lake system while integrating diverse data sources.
- Company: Join a leading systematic trading hedge fund known for its tech-driven culture.
- Benefits: Competitive salary, bonus, hybrid work model, and a relaxed atmosphere.
- Other info: Collaborate with smart minds in a calm, open environment with great growth potential.
- Why this job: Dive into the exciting world of trading and asset management with cutting-edge technology.
- Qualifications: Degree in Computer Science, Maths, Physics or Chemistry; Python and trading experience required.
The predicted salary is between 81000 - 99000 £ per year.
Python Data Engineer – Investment Management90k, Bonus, 3 days a week in the office.
Quant Capital is urgently looking for a 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 of a data lake system, 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.
You will gain considerable knowledge of the trading and asset management space.
The Junior Quant Data Developer Must have:2:1 Computer Science, Maths, Physics or Chemistry degree from a Red Brick UK or EU University Python Matlab Postgre SQLBloomberg Must have experience in Trading or Investment management An Understanding of computing fundamentals, object orientated programming, threading, concurrency and distributed systems This is an outstanding opportunity to join a growing trading business at a time of significant and interesting growth within the sector.
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.
My client is based in Central London Hybrid.
Graduate, Junior, Python, Data EC2, Dev Ops, Linux, AWS, Java, CLoudwatch
Data Engineer – Investment Management 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 Data Engineer – Investment Management in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Quant Capital.
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We think you need these skills to ace Data Engineer – Investment Management in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Quant Capital, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Quant Capital. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Quant Capital
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Quant Capital!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
