At a Glance
- Tasks: Develop modelling solutions and lead product development for a major exchange.
- Company: Top-tier consultancy known for its expertise in pricing derivatives.
- Benefits: Competitive salary, supportive culture, and opportunities for professional growth.
- Other info: Dynamic team environment with a family feel and strong values.
- Why this job: Join a leading firm and make an impact in the finance world with innovative solutions.
- Qualifications: PhD in Maths, Stats, Physics or Engineering; experience in finance and derivatives.
The predicted salary is between 29700 - 36300 £ per year.
Junior Quant Analyst Modelling Quant Capital is urgently looking for a Junior Quant Analyst to work for our high profile client and its exchange partner.
Our client is a well known global low latency and HFT software business paired with a major exchange.
They provide valuations and pricing of derivatives to most of the buy side via the exchange.
This role reports directly to the CEO of the London office and is responsible for a number of funds and banks.
The role combines hands on Quantitative Analysis with an understanding of how to implement this in varying theatres as well as a constant need to develop products.
The Junior Quant Analyst will be responsible for: Work on modelling solutions for the exchange Lead new product development as well as strategy (internal and with the exchange)Subject Matter expert on pricing and valuations Work with Research and Development in product management Working with a major exchange.
- Junior
- Quants
- Must
Have: Ph D from a top tier school in Maths Stats, Physics or Engineering Experience of finance ideally modelling Experience of Derivatives1 years commercial experience in finance Stochastic calculus Stochastic processes C++Partial differential equations and numerical analysis.
VBA, Excel My client has a family feel and traditional values but is known as by far the best pricing consultancy in the world.
They are paired with the worlds best known derivatives exchange.
They have recently implemented a Pricing standard for Fixed Income Trading.
They have been trading for 15 years and have around 90 people in the office so personality fit is important.
My client is based in London Quant, Pricing Derivatives, Consultancy C++ Quant Analyst Investment Bank, Hedge Fund Modelling
Junior Quant Analyst Modelling 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 Junior Quant Analyst Modelling in London
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We think you need these skills to ace Junior Quant Analyst Modelling 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.
