At a Glance
- Tasks: Develop and implement cutting-edge quantitative models for financial derivatives and risk management.
- Company: Join a major global exchange known for innovation and excellence.
- Benefits: Competitive salary, 24% contract bonus, and opportunities for professional growth.
- Other info: Dynamic team environment with significant responsibility and career advancement potential.
- Why this job: Make a real impact in finance while enhancing your software development skills.
- Qualifications: MSc in relevant field and experience in quantitative modelling or analytics.
The predicted salary is between 110000 - 110000 £ per year.
Quant Capital is urgently looking for a Quant Analyst to join our high profile client. Our client is a well-known major global exchange. You will be part of a team building cutting-edge applications and services supporting cross-asset trading and risk management.
The successful candidate will have a passion for software development and the desire to constantly improve both their skills and the solutions they work on. The role will be working on different financial derivatives across various asset classes from equities, commodities, fixed income to credit default swaps (CDS).
The successful candidate will engage with various groups in the organization from product control to front line risk teams and sales teams.
- Research, develop and implement risk management models for the Clearing Business
- Work with risk managers to provide quantitative support and analytical tools to investigate and understand market risks, liquidity risks, counterpart credit risks, etc.
- Model review, documentation and validation remediation to ensure compliance with the Model Risk Governance Framework
- Review and interpret results of ongoing model performance tests (e.g. back testing)
- Develop and implement new quantitative models and pricing functions
- Work and coordinate with model validators in model validation/re-validation review process
- Prepare analyses for regulatory submissions of model changes and introduction of new models
Quant Analysts must have:
- Experience in a comparable quantitative modelling or analytics role
- MSc in Physics, Mathematics, Quantitative Finance, Statistics, or a relevant scientific field or relevant work experience
- Strong mathematical knowledge of financial derivatives pricing and risk management models
- Good data science experience
- C++/C#/Java or Python programming skills
- Experience with SQL
- Solid numerical programming abilities
- Excellent attention to detail with ability to work independently and also as part of a team
This role suits someone from a software development background that is looking to take on serious responsibility. We are looking for consultants who want to take ownership of products and take considerable responsibility and the bonus that goes with that.
My client is based in Central London.
Analyst, Implementation Service 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 Analyst, Implementation Service in London
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We think you need these skills to ace Analyst, Implementation Service 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.
