At a Glance
- Tasks: Automate real-time data into a portfolio management system using Python and Java.
- Company: Join a leading systematic trading hedge fund known for its tech-driven culture.
- Benefits: Competitive salary plus bonus, flexible office days, and a relaxed dress code.
- Other info: Great opportunity to learn and grow in a tech-focused atmosphere.
- Why this job: Work in a dynamic environment with smart people and make an impact in finance.
- Qualifications: Degree in Computer Science or related field and 3+ years of development experience.
The predicted salary is between 110000 - 110000 £ per year.
Python Data Engineer – Investment Management 110,000 Plus Bonus 2-3 days in the office Quant Capital is urgently looking for a Python Data Engineer 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.
This role will be working with a large distributed system (Built in Python and Java) automating a large volume of realtime data into a portfolio management system.
I am looking for a proficient developer with good tata knowledge and an understanding of latency.
I am looking for an engineer with strong Python and Database knowledge who is happy to learn risk.
You should be happy to expand a data platform from scratch with some serious help on the financial side.
The Python Data Engineer Must have
- 2:1 Computer Science, Maths, Physics or Chemistry degree from a Red Brick UK or EU University
- 3 years plus commercial development experience
- Strong and demonstrable core Python coding
- Strong Database skills (Mix of SQL, No SQL, Postre SQL
- Experience in financial services ideally fund / wealth management
- Experience in software development within the enterprise space.
- An Understanding of computing fundamentals, object orientated programming, threading, concurrency and distributed systems 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 technologists, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.
My client is based in Central London but does not require office work unless a core meeting is called.
Distributed Systems , Python, Data Science, Dev Ops, Linux, AWS, Java, CLoudwatch
Python 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 Python Data Engineer – Investment Management in London
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We think you need these skills to ace Python 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!
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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!
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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.
