At a Glance
- Tasks: Lead the setup of a Quant Fund and develop trading strategies using digital data.
- Company: Dynamic digital marketing firm with a focus on innovative financial solutions.
- Benefits: Competitive salary, performance bonuses, and opportunities for professional growth.
- Other info: Exciting opportunity to learn from industry experts in a state-of-the-art office.
- Why this job: Join a cutting-edge team and make an impact in the finance and tech sectors.
- Qualifications: MSc in Maths or Comp Sci, programming skills, and understanding of market execution.
The predicted salary is between 59400 - 72600 £ per year.
Quant Analyst Digital Data Trading Our client is a well known digital marketing firm setting up a Quant Fund based around digital arbitrage.
The firm is run by several well known entrepreneurs, they have noticed some correlation between listed company share prices (globally) and the private digital data they have access to and we want to start a private fund to explore monetising this. (In the form of a prop business under and FCA Agency banner).
The Quant Analyst will be the lead for this set up and work on both execution as well as modelling.
On a day to day basis the Quant will: Use knowledge of how the markets work to help us source and integrate relevant data.
Work with the team and platform to design and test trading strategies.
Create trading models and strategies Understand the most effective way to execute the strategy both in methodological and practical terms.
Ultimately manage a dedicated fund with potential, subject to regulation etc., to open it up to third parties and/or… …build and sell a data feed to other funds for them to monetise.
This role will give you massive exposure to Algorithm development as well as all of the equity market.
You should be looking to learn from people who enjoy passing on their knowledge.
Their office is state of the art with an atmosphere of bright sharp developers but they need the finance and Quant knowledge.
This is a move for someone who enjoys finance and has an understanding of the markets but wants to build something themselves.
It will be a fun ride if you are up for a challenge.
In exchange we offer a bonus as trading Pn L and a solid base with Options.
Quant’s MUST have
- Msc In Maths, Comp Sci, or Maths, Stats from Top Tier University (top 20 UK)
- Experience of programming, could be C++ to R to Python
- Understanding of market execution
- Bloomberg
- Some experience in quant finance or the equity markets.
This is an outstanding opportunity to join a growing business at a time of significant and interesting growth within the sector.
You will gain massive exposure to trading environment as well as learning data flows from Bloomberg.
This is a UNIQUE opportunity..
My client is based in London Quant Analyst Quant Developer Java Scala Algorithm Algo, OO Development Developer C# C++ SQL SQL 2008 Quant Trader Bank C# winforms
Quant Analyst Digital Data 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 Analyst Digital Data Trading in London
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We think you need these skills to ace Quant Analyst Digital Data 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
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✨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.
