At a Glance
- Tasks: Develop cutting-edge risk tools and collaborate with top-tier researchers and risk managers.
- Company: Join a renowned quantitative hedge fund known for innovation and technology.
- Benefits: Attractive salary, personal training budget, Bupa, pension, and travel loan.
- Other info: Dynamic role with freedom to innovate in the quantitative space.
- Why this job: Make a real impact in a fast-paced environment with excellent growth opportunities.
- Qualifications: PhD or MSc in a scientific field and 3+ years of quantitative experience required.
The predicted salary is between 162000 - 198000 £ per year.
Quant Developer – Risk Technology Expected total: 180,000 Mayfair Quant Capital is urgently looking for a Quant Developer to a high profile global quantitative hedgefund client.
Our client is a well-known Quantitative hedgefund, they are committed to leveraging innovations in technology and data science to solve complex problems.
This I a new expansionary role in London due to an increase in quantitative commodities, Fixed Income (and a small amount of equities) trading, the role sits in a new London based global Risk Technology team being assembled to build out next generation risk tools.
This opportunity provides excellent growth opportunities and a fast-paced dynamic environment.
The Quant will:• Work closely with the researchers, risk managers and other technologists in Europe and New York.
- Help develop multi-asset analytics, stress and Va R for the in-house risk platform.
- Develop models to compute new analytics in collaboration with the head of portfolio research The successful quants 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.
Quant Developer MUST have: Ph D or MSc in an advanced scientific field A minimum of 3 years of front office quantitative experience across fixed income and equites asset classes as a minimum Experience with fundamental equity risk models A solid grounding in C++, Python or Java.
Good knowledge of software design including algorithms and object oriented design Strong communication skills required as this role involved direct communication with risk management and trading Applicant should have a demonstrated track record of success in challenging environments This is a unique company that allows freedom in the quantitative area.
My client offers a personal training budget per person as well as a bonus.
Bupa, Pension and travel loan make up an excellent benefits package.
My client is based in London Quant Analyst, Quantitative
Quant Developer – Risk Technology 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.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Developer – Risk Technology 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!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quant Developer – Risk Technology at Quant Capital.
✨Leverage Professional Networks
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.
✨Apply Directly through Our Website
When you find a suitable opening like Quant Developer – Risk Technology at Quant Capital, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quant Developer – Risk Technology 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
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.
