At a Glance
- Tasks: Develop end-to-end ML models from unstructured data to generate alpha signals.
- Company: Westren Capital, a leading proprietary trading firm in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Fast-paced environment with significant career advancement potential.
- Why this job: Join a dynamic team and make a real impact in financial markets with cutting-edge AI.
- Qualifications: 5+ years in ML systems, experience with transformers, and strong collaboration skills.
The predicted salary is between 63000 - 77000 £ per year.
Westren Capital, a London-based proprietary trading firm, is seeking a senior ML researcher to develop end-to-end models turning unstructured data into alpha signals.
You will collaborate with traders to define constraints, design scalable architectures, and push models through real-world markets to endure latency and stability requirements.
Ideal candidates have 5+ years building ML systems, experience with transformers, HPC/distributed training, and publications or open-source contributions.
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Quant AI Research Scientist - End-to-End ML for Markets employer: Westren Capital
Westren Capital is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong emphasis on collaboration, employees are encouraged to grow their skills through hands-on experience and mentorship from industry experts. The firm offers competitive benefits and a unique opportunity to work at the forefront of machine learning in financial markets, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Quant AI Research Scientist - End-to-End ML for Markets
✨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 Westren Capital!
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When you find a suitable opening like Quant AI Research Scientist - End-to-End ML for Markets at Westren Capital, 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 Quant AI Research Scientist - End-to-End ML for Markets
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 Westren 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 Westren 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 Westren 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 Westren 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.
