At a Glance
- Tasks: Analyse complex datasets and improve live trading models using advanced techniques.
- Company: Leading quantitative hedge fund with a focus on innovation and research.
- Benefits: Highly competitive compensation, exceptional resources, and real-world impact.
- Other info: Collaborate with experienced professionals and access significant data resources.
- Why this job: Apply your research skills in finance and see tangible results in the market.
- Qualifications: PhD candidates with strong backgrounds in quantitative fields and 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.
Researcher (Data Analysis) in City of London employer: Bowden Brown
As a leading quantitative hedge fund, we pride ourselves on fostering a dynamic and innovative work culture that empowers our researchers to excel. Located in a vibrant financial hub, we offer exceptional technical resources, competitive compensation, and the unique opportunity to apply your advanced research skills directly to real-world financial markets. Join us to collaborate with top-tier professionals and witness the tangible impact of your work in a supportive environment that prioritises employee growth and development.
StudySmarter Expert Advice🤫
We think this is how you could land Researcher (Data Analysis) in City of London
✨Get Involved in Data Science Meetups
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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 Bowden Brown.
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We think you need these skills to ace Researcher (Data Analysis) 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 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!
✨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 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.
