At a Glance
- Tasks: Develop and implement complex pricing and risk models for innovative trading algorithms.
- Company: Rapidly expanding FinTech reshaping the insurance trading landscape.
- Benefits: Competitive salary, bonus potential, hybrid working, and a relaxed work environment.
- Other info: Enjoy a creative workspace similar to Facebook or Google with excellent growth opportunities.
- Why this job: Join a dynamic team and make a real impact in financial markets with cutting-edge technology.
- Qualifications: MSc or PhD in STEM, experience in financial markets, and strong Python skills.
The predicted salary is between 135000 - 165000 £ per year.
Quantitative Analyst – Insurance Hybrid working 150,000 Plus Bonus Quant Capital is urgently looking for an Quant Analyst / Algo Developer to join a high profile Fin Tech in London.
Our client is an established yet rapidly expanding insurance exchange that has built a global network matching automated insurance trading.
This is a brand new product in an old space.
Very similar in nature to Algo OTC trading mixed with Exchange based algo trading.
This is a greenfield project building out buy and sell side trading algorithms.
Working individually and with developers to create, develop and implement complex pricing and risk models.
Use stochastic calculus, partial differential equations, Monte Carlo simulations, statistics, and numerical algorithms for quantitative analysis.
Develop production-ready code using object-orientated programming.
Experience in financial markets focused on trading and risk management within the OTC or exchange based trading market
- MSc or Ph D in a STEM subject
- Python
Knowledge of fixed income performance attribution methodologies The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions.
Join our client's dynamic team and contribute to their mission of reshaping the financial markets with their groundbreaking global financial network.
Database Analyst (SQL) in London employer: Quant Capital
At Quant Capital, we pride ourselves on being an exceptional employer, offering a dynamic and innovative work environment that mirrors the culture of leading tech giants like Facebook and Google. Our London office fosters a collaborative atmosphere where employees are encouraged to think critically and make impactful decisions, while also providing ample opportunities for professional growth and mastery of cutting-edge technology in the trading operations space. With a focus on employee well-being and a commitment to excellence, we ensure that our team members are equipped with the tools and support they need to thrive in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Database Analyst (SQL) in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Quant Capital!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Quant Capital.
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We think you need these skills to ace Database Analyst (SQL) 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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Craft a Tailored Cover Letter:For a full-time role at Quant Capital, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Quant Capital!
✨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.
