At a Glance
- Tasks: Design and build data pipelines, collaborate on execution models, and enhance trading systems.
- Company: A leading global Prop Trading firm with a tech-driven culture.
- Benefits: Competitive salary plus bonus, flexible working, and a relaxed atmosphere.
- Other info: Dynamic environment similar to Facebook or Google, with great career growth potential.
- Why this job: Join a cutting-edge team and make an impact in the fast-paced trading world.
- Qualifications: 5+ years in execution roles, expert in Python and Java, strong communication skills.
The predicted salary is between 170000 - 170000 £ per year.
Quant Developer Python Execution170,000 Plus Bonus Quant Capital is urgently looking for a Quant Developer with execution experience to join our high profile clients Team Our client is a well known global Prop Trading firm.
They value technology especially the opensource variety as well as scalability and robust performance (much like their track record).
The Mid Frequency Trading Team is a fully automated trading team, trading multiple products across global markets.
The team’s framework facilitates live trading and historical backtesting and includes the data processing pipelines and research tools necessary for new alpha research.
The codebase is predominantly in Python leveraging a number of industry standard libraries for data handling.
This is a bleeding edge role as close as it gets to the market.
They have invested heavily in infrastructure and are looking to take this to market.
The opportunity is to help research and build execution signals for our medium frequency alpha’s as well as contributing to new higher frequency alpha using native exchange data feeds.
The collaborative team is made up of software engineers, quant developers and researchers.
Ideas are shared openly and you will get the opportunity to contribute to areas beyond their immediate responsibilities.
You will require solid technical skills, in python and Java, and the ability to communicate complex ideas clearly.
It is also essential that the successful candidate is willing to spend time sharing knowledge with other team members, as well as learning from them, in order to contribute to the team’s collaborative and open culture.
Responsibilities Designing, building and maintaining tick-level data pipelines Work with Quantitative Researchers to productionize and refine execution models Build post-trade analysis tooling to observe performance of trading signals Support and maintenance of the existing systems and infrastructure Applying modern devops paradigms to enhance operational capabilities Contributing to the continuous refinement of the desk’s systems Quant Developers should have: Experience in a Bank, Fund or Prop Shop in a successful trading team5+ years development experience in an execution focused role.
Experience supporting researchers to develop new signals Expert proficiency level in python & Java Experience using pandas & numpy Experience with real time Linux systems Good design skills Strong understanding of data structures 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 and traders, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.
The role is City based.
Flex Working
Quant Developer – Prop trading 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.
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We think this is how you could land Quant Developer – Prop trading in London
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We think you need these skills to ace Quant Developer – Prop trading 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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