At a Glance
- Tasks: Research and implement automated trading strategies using data-driven methods.
- Company: Join a leading global Prop Trading firm with a tech-savvy culture.
- Benefits: Competitive salary, bonus potential, flexible working, and a relaxed atmosphere.
- Other info: Enjoy a calm, open environment similar to Facebook or Google.
- Why this job: Be at the forefront of technology and trading, making a real impact.
- Qualifications: 3 years of automated trading experience and strong Python skills.
The predicted salary is between 170000 - 170000 £ per year.
Signal Implementation Quant Developer Python170,000 Plus Bonus Quant Capital is urgently looking for a Medium Frequency Quant Developer 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).
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.
As a smaller shop they are able to offer a considerably better share than a larger firm.
You will be responsible for the research and implementation of fully automated quantitative trading strategies using data driven methods.
The assets could be derivatives or currencies and holding period of the strategies could be intra-day, days or weeks.
Most of the strategies are Futures based.
Quantitative trading signal Implementation Continuous production and backtest reconciliation and optimisation Scaling up to maximise Pn L whilst staying within agreed risk tolerances Quantitative research Implementation of initial strategy and confirmation of opportunity via back test Research into applicability of strategy into other markets Ensuring that appropriate reporting and metrics provided Improvements to existing tools and frameworks used by the MFT team Quant Developers should have:· Experience in a Bank, Fund or Prop Shop in a successful trading team· 3 Years Automated Trading Experience· Strong Python (Although this more Strategy implementation)· Academic background to match 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 – Python, Signal implementation 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 Quant Developer – Python, Signal implementation in London
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We think you need these skills to ace Quant Developer – Python, Signal implementation 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.
