At a Glance
- Tasks: Build cutting-edge quantitative frameworks for equities trading and collaborate with top-tier professionals.
- Company: Join a leading global Quant Investment manager known for innovation and excellence.
- Benefits: Enjoy a competitive salary, flexible working, ongoing training, and a structured career path.
- Other info: Experience a relaxed, open environment similar to tech giants like Facebook and Google.
- Why this job: Be part of a dynamic team at the forefront of technology in finance.
- Qualifications: Advanced degree in a quantitative field and strong programming skills required.
The predicted salary is between 59400 - 72600 £ per year.
Equities Portfolio Quant Researcher Quant Capital is urgently looking for an Equities Quant Researcher to join our high profile client in their main research team.
Our client is one of the largest Quant Investment managers globally, with around 20 billion under management.
They are mainly quant based but have High frequency and systematic exposure.
The role sits with the trading team on the bleeding edge of technology as well as execution.
This is an environment of science and intellectuals.
The firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you.
The role is essentially responsible for building the quantitative framework for an equities PM business.
Responsibilities: Assisting in building various parts of quantitative trading framework Working with Tech department to put into production quantitative models Collaboration with the Risk, Portfolio, and Business Managers to ensure accurate application of the quantitative framework in day-to-day workflows Research and implement various research models including factor models, and risk assessments Quant Researcher
- Must
- Ideally
Have: Advance degree or Ph D in a technical or quantitative field Strong programming skills, experience with programming languages (SQL, R, Python)5-10 years of experience in equity risk modeling and quantitative models Strong written and verbal communications with the ability to communicate with Portfolio Managers and Traders Ability to work independently and in ambiguous environments You will be joining a progressive and exciting company committed to excellence.
They offer an excellent working environment with ongoing training and a structured career path.
You can also expect an excellent salary and benefits package, flex working.
Technology plays a serious part to their business in an operation that runs 24/7 globally.
You will play a serious part in making the London office more efficient in its execution.
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.
My client is based in London Research, Systematic, Stat Arb, C++ Erlang, F#, Scala, Haskell, Django, Python, Twisted, no SQL, Data Science Seniority Level Mid-Senior level Industry Capital Markets Financial Services Information Technology and Services Employment Type Full-time Job Functions Information Technology Engineering Finance
Equities Portfolio Quant Researcher 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 Equities Portfolio Quant Researcher in London
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We think you need these skills to ace Equities Portfolio Quant Researcher 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.
