At a Glance
- Tasks: Collaborate with Quants to develop pricing and risk analytics tools.
- Company: Join a leading tech-driven hedge fund known for innovation.
- Benefits: Enjoy a competitive salary, personal training budget, and excellent bonuses.
- Other info: Unique opportunity to work closely with quant researchers and portfolio managers.
- Why this job: Make an impact in a fast-paced environment with cutting-edge technology.
- Qualifications: 5 years of C++ experience and strong analytical skills required.
The predicted salary is between 63000 - 77000 £ per year.
Quant Technologist – C++Quant Capital is urgently looking for a Quant Technologist to join our high profile client.
Our client is a well-known technology driven hedge fund, they are known to leverage innovations in technology and data science given them an edge in capital markets.
This mid-level role sits in a new Quant Technology.
The successful technologists will be interested in working within an innovative and entrepreneurial environment, where they will be expected to be involved in all aspects of trading and risk.
Responsibilities:• Collaborating and working alongside Quants and Quant Developers to develop fixed-income pricing and risk analytics the in-house library
- Take part in the development and improvement of the back-end distributed system, enabling continuous firm wide risk and profit and loss calculations
- Participate in the development of in house pre-trade analysis tools for PM’s and traders You will need:• 5 years of experience developing in C++ on the server side, C++ 11 onwards
- Good understanding of various design patterns
- Experience working CI/CD and version control
- Strong analytical and mathematical skills
- Strong problem solving capabilities
- Able to work independently in a fast-paced environment.
Nice to have:• Experience developing and maintaining back-end distributed system.
- Experience with micro services architecture such as docker/Kubernetes
- Experience with FI pricing and risk analytics
- Experience with Python This is a unique opportunity for a technologist to work directly with quant researchers and portfolio managers.
My client offers a personal training budget per person as well as an excellent bonus, pension, Bupa and travel loan make up an excellent benefits package.
Quant Technologist – C++ 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 Technologist – C++ in London
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We think you need these skills to ace Quant Technologist – C++ 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.
