At a Glance
- Tasks: Analyse complex datasets and apply advanced research to real financial markets.
- Company: Leading quantitative hedge fund with a focus on innovation.
- Benefits: Highly competitive compensation and exceptional technical resources.
- Other info: Opportunity for significant career growth and collaboration in a dynamic environment.
- Why this job: Make a real-world impact with your research alongside experienced professionals.
- Qualifications: PhD candidates in quantitative fields with strong programming skills.
The predicted salary is between 54000 - 66000 £ per year.
We are working with a leading quantitative hedge fund looking to hire exceptional PhD candidates from the world’s top universities. This is an opportunity to apply advanced research to real financial markets. You will work alongside experienced quantitative researchers, traders and engineers, with access to significant data, computing resources and direct feedback from live trading.
- Analyse large and complex datasets using advanced statistical and machine learning techniques.
- Build a detailed understanding of market microstructure across different exchanges and asset classes.
- Evaluate strategy performance and continuously improve live models.
PhD completed or nearing completion (within next 12 months max) from a leading global university.
- Strong academic background in Mathematics, Statistics, Physics, Computer Science, Machine Learning, Econometrics, Operations Research or a related quantitative field.
- Evidence of exceptional research ability, such as publications, academic awards or work on technically demanding problems.
- Strong programming skills in Python or C++.
Candidates from academic and research backgrounds are strongly encouraged to apply. This opportunity offers highly competitive compensation, exceptional technical resources and the chance to see your research have a measurable, real-world impact.
Researchers in City of London employer: Bowden Brown
Join a leading quantitative hedge fund that values innovation and excellence, offering PhD candidates the chance to apply their advanced research skills in real financial markets. With a collaborative work culture, access to cutting-edge technology, and opportunities for professional growth, you will be part of a team that encourages continuous learning and impactful contributions. Located in a vibrant financial hub, this role provides not only competitive compensation but also the unique advantage of seeing your research translate into tangible results.
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We think this is how you could land Researchers in City of London
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We think you need these skills to ace Researchers 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!
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Craft a Tailored Cover Letter:For a full-time role at Bowden Brown, 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 Bowden Brown. 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 Bowden Brown
✨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
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 Bowden Brown!
✨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.
