At a Glance
- Tasks: Design and develop cutting-edge deep learning models for time-series prediction.
- Company: Join a top-tier High Frequency Trading team led by a renowned quant expert.
- Benefits: Competitive salary, innovative work environment, and opportunities for professional growth.
- Other info: Collaborate with top technologists and push the boundaries of ML research.
- Why this job: Make a real impact in the world of finance with your mathematical genius.
- Qualifications: MSc or PhD in Maths, Stats, or Machine Learning with published research.
The predicted salary is between 60000 - 80000 £ per year.
Unique opportunity to join one of the most famous and successful High Frequency Trading teams in the world. This role reports directly to the head of this team, who is regarded as one of the greatest quants and traders in a generation. You do not need to have financial experience, but their expectation is that you will be one of the top 0.1% of Mathematical and Machine Learning researchers in the world, with all the associated accolades to back up your expertise.
This team's focus is on Mathematical modelling excellence and cutting-edge Machine Learning research. We are looking for a candidate with a passion for mathematical research and depth, but with an obsession with making sophisticated models work in the real world.
Role:
- Designing and developing deep learning models for time-series and signal prediction.
- Making models more robust and optimised.
- Working with technologists to turn research into production systems.
- Learning about the markets and market structure to achieve better modelling outcomes and success.
This role is not applying basic methods to clean data. This is real ML research on challenging data.
Needed:
- MSc or PhD research experience, published in the top journals and highly cited.
- Evidence of novel ability in Maths, Stats, Machine Learning or Computer Science, i.e., Publications, industrial research, open-source contributions.
- Experience designing and developing large models.
- Superb time-series modelling, reinforcement learning, causal inference, probabilistic modelling, optimisation, etc.
- Exposure to taking your research beyond a prototype is highly desirable.
- Deep understanding of modern deep learning: architectures, objectives, optimisation, scaling, evaluation and failure modes.
- Exceptional mathematical and statistical grounding.
- Excellent programming - any language (demonstrable).
- Research process excellence.
Quantitative Researcher in Slough employer: Winston Fox
Join a prestigious High Frequency Trading team renowned for its mathematical modelling excellence and innovative Machine Learning research. As a Quantitative Researcher, you will thrive in a collaborative environment that fosters intellectual curiosity and offers unparalleled opportunities for professional growth, all while working alongside some of the brightest minds in the industry. Located in a vibrant financial hub, this role not only promises a rewarding career but also provides access to cutting-edge resources and a culture that values creativity and rigorous research.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher in Slough
✨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 Winston Fox.
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We think you need these skills to ace Quantitative Researcher in Slough
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 Winston Fox, 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 Winston Fox. 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 Winston Fox
✨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 Winston Fox!
✨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.
