Quantitative Researcher, Live Alpha Signals in London

Quantitative Researcher, Live Alpha Signals in London

London Full-Time 54000 - 66000 £ / year (est.) On-site
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At a Glance

  • Tasks: Transform messy data into powerful trading signals using statistics and machine learning.
  • Company: Westren Capital, a dynamic proprietary trading firm based in London.
  • Benefits: Collaborative environment with opportunities for impactful research and career growth.
  • Other info: Emphasis on rigorous applied research over traditional backtesting.
  • Why this job: Join a small team and make a real difference in live market strategies.
  • Qualifications: Strong Python and Linux skills, plus experience in quantitative research.

The predicted salary is between 54000 - 66000 £ per year.

Westren Capital, a London-based proprietary trading firm, seeks researchers who can transform messy data into robust trading signals. You will work at the intersection of statistics, machine learning, and market microstructure, building strategies that operate in live markets. The team is small and highly collaborative, valuing rigorous applied research over backtests. Candidates with strong Python and Linux experience, and a track record in quantitative research, will fit well in this role.

Quantitative Researcher, Live Alpha Signals in London employer: Westren Capital

Westren Capital is an exceptional employer for those seeking to thrive in the dynamic world of digital asset trading. Located in London, we foster a collaborative work culture that prioritises innovation and employee growth, offering opportunities to engage with cutting-edge risk management practices. Our commitment to professional development, coupled with a focus on execution quality and infrastructure resilience, makes us an ideal place for passionate individuals looking to make a meaningful impact in the financial markets.

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Contact Details:

Westren Capital Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Researcher, Live Alpha Signals in London

✨Get Involved in Data Science Meetups

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We think you need these skills to ace Quantitative Researcher, Live Alpha Signals in London

Statistical Analysis
Machine Learning
Market Microstructure
Data Transformation
Python
Linux
Quantitative Research

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 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!

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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 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.