At a Glance
- Tasks: Develop and enhance core Rates Quant analytics library and front office tools.
- Company: Join a $20 billion hedge fund known for its top-tier performance and innovative trading strategies.
- Benefits: Hybrid working, relaxed environment, and the chance to work with cutting-edge technology.
- Other info: Enjoy a calm atmosphere with an open dress code and opportunities for serious financial rewards.
- Why this job: Learn about interest rates trading while making a real impact in a dynamic setting.
- Qualifications: 3+ years as a Quant Analyst, strong C++ skills, and top academic grades required.
The predicted salary is between 153000 - 187000 £ per year.
Quant Analyst – Rates 170000 Hybrid 3 days a week Quant Capital is urgently looking for a Quant Analyst to join our high profile client.
A $20billion strong Hedge fund with performance figures of 23%.
They trade a number of products across equity and commodities in both high and low frequency strategies.
They have the reputation as one of the best funds globally.
They use a combination of proprietary data, superior technology, and aggressive execution to achieve their trading objectives.
The successive Quant Analyst will develop and enhance our core Rates Quant analytics library (written in C++) and our front office tools.
The code library provides valuation, risk, scenario and Va R calculations for a wide range of OTC and listed derivatives as well as cash fixed income products in G10 and emerging markets.
The tools use the underlying code to help traders to risk manage positions as well as identify, price and back test potential new trading strategies.
The role will involve regular dialogue with traders, risk managers and other departments.
It represents an excellent opportunity for a Quant to learn how interest rates products are traded from a risk taking perspective whilst working in a dynamic and intellectually challenging environment.
Operations Analysts MUST have
- A minimum of 3 years as a Quant Analyst or Developer (MUST HAVE)
- Interest Rates experience
- Top Academic Grades from Top 25 Global University (Oxbridge, MIT Etc)
- C++
- Ideally Good programming skills in SQL/ Excel The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions.
The atmosphere is calm and relaxed with an open dress code.
This is a role for techies, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.
Operations, Latency, Itivit, OMS, Reuters, tbricks, Linux HPC HFT Operations VBA
SQL Analyst - Hybrid Working 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 SQL Analyst - Hybrid Working in London
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We think you need these skills to ace SQL Analyst - Hybrid Working 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.
