At a Glance
- Tasks: Lead a team in developing cutting-edge market-making systems and optimising trading models.
- Company: Join a tech-driven trading firm known for innovation and excellence.
- Benefits: Competitive salary, bonuses, flexible working, and ongoing training.
- Other info: Exciting career growth opportunities in a progressive company.
- Why this job: Make a real impact in a dynamic environment with smart, passionate colleagues.
- Qualifications: PhD in relevant fields and extensive quant trading experience required.
Head of Quant Trading 250,000 Plus Bonus Quant Capital is urgently looking for a Head of Quant Trading to join our high profile client in their main quant research team.
Our client is well-known tech-driven trading firm.
They are well known in the retail and CFD space.
The firm has around 400 employees globally.
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.
I am looking for an experienced and highly-driven expert in quant trading and market making to lead and grow a team of quant researchers and software engineers.
On a day-to-day basis your responsibilities will include
- Lead the implementation of large-scale market-making and cross-asset risk management systems
- Guarantee end-to-end quality of trade execution for our millions of retail customers, even during extreme market events
- Expand with additional asset classes and tradable instruments
- Develop and optimise the firms’ trading model to identify and create relevant risk factors and construct systematic equity portfolios Quant Analysts
- Must
- Ideally
Have
- Ph D Comp Sci, Maths, Stats or Engineering
- Quant experience of systematic trading (market making/hedging & electronic execution)
- Extensive experience with market-making algorithms and automated trading systems
- Deep understanding of stock market microstructure across global securities exchanges and trading venues
- Experience with high trading volumes
- Experience of delivering multi asset trading strategies (alpha signals, analytics, strategy simulations)
- Experience in machine learning, signal research, back testing & performance optimisation
- Quant modeling
- Trading strategies
- Programming – Python, C++, Java, complex event processing You will be joining a progressive and exciting company committed to excellence.
They offer an excellent working environment with ongoing training and a structured career path.
You can also expect an excellent salary and benefits package, flex working.
Including Options from day 1.
My client is based in the City flex working Quant Research, Gauss, Hull, Options Theory, C++ Erlang, F#, Scala, Haskell, Django, Python, Twisted, no SQL, Data Science
Head of Quant 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 Head of Quant Trading in London
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We think you need these skills to ace Head of Quant 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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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.
