At a Glance
- Tasks: Apply advanced maths and machine learning to analyse financial markets and develop predictive models.
- Company: Join leading hedge funds and trading firms across Europe and the UAE.
- Benefits: Competitive salary, dynamic work environment, and opportunities for impactful research.
- Other info: Work in vibrant cities like London, Paris, and Dubai with excellent career growth.
- Why this job: Make a real difference in finance with your research skills and innovative ideas.
- Qualifications: PhD in Maths, Stats, Physics, or Computer Science with strong academic publications.
The predicted salary is between 54000 - 66000 £ per year.
I'm partnering with leading hedge funds and proprietary trading firms across London, Paris, Switzerland, the Netherlands, Dubai and Abu Dhabi that are hiring exceptional researchers into Quantitative Research positions.
As a Quantitative Researcher, you'll apply advanced mathematical, statistical and machine learning techniques to identify patterns in financial markets, develop predictive models, research trading signals, analyse large datasets and help build systematic strategies.
We're keen to speak with candidates from top 100 global universities and leading research institutions with backgrounds in:
- Mathematics
- Statistics
- Physics
- Computer Science
Particular interest in candidates who have:
- Outstanding academic publications from top universities globally
- Publications at leading venues such as NeurIPS, ICML, ICLR, AISTATS
Research Areas of Interest:
- Mathematics & Statistics: Probability & Statistics, Statistical Inference, Bayesian Statistics, Stochastic Processes, Optimisation, PDEs & Numerical Methods, Information Theory, Time Series Analysis, Game Theory.
- Physics: Statistical Physics, Theoretical Physics, Quantum Physics, Complex Systems, Computational Physics.
PhD Quantitative Researcher | London, Paris, Switzerland, Netherlands & UAE in City of London employer: Selby Jennings
Join a leading global platform that offers an exceptional opportunity for growth and development in the real estate M&A sector. With a collaborative and entrepreneurial team culture, you will be exposed to landmark European transactions while enjoying competitive compensation and clear progression pathways. This role not only allows you to enhance your financial modelling and analytical skills but also provides the chance to mentor junior team members, making it a truly rewarding environment for ambitious professionals.
StudySmarter Expert Advice🤫
We think this is how you could land PhD Quantitative Researcher | London, Paris, Switzerland, Netherlands & UAE in City of 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 Selby Jennings!
✨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 PhD Quantitative Researcher | London, Paris, Switzerland, Netherlands & UAE at Selby Jennings.
✨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 Selby Jennings.
✨Apply Directly through Our Website
When you find a suitable opening like PhD Quantitative Researcher | London, Paris, Switzerland, Netherlands & UAE at Selby Jennings, 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 PhD Quantitative Researcher | London, Paris, Switzerland, Netherlands & UAE in City of 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 Selby Jennings, 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 Selby Jennings. 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 Selby Jennings
✨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 Selby Jennings!
✨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.
