Graduate Quantitative Analyst – Trading Desk (Python/ML)

Graduate Quantitative Analyst – Trading Desk (Python/ML)

Full-Time 36000 - 60000 Β£ / year (est.) On-site
O

At a Glance

  • Tasks: Deliver high-quality quantitative strategies and monitor trading performance.
  • Company: Leading trading firm in Greater London with a focus on innovation.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
  • Other info: Immediate start needed; perfect for those eager to dive into trading.
  • Why this job: Join a fast-paced trading desk and make an impact in global markets.
  • Qualifications: Degree in a quantitative field and strong Python skills required.

The predicted salary is between 36000 - 60000 Β£ per year.

A leading trading firm in Greater London is seeking an individual with strong quantitative skills to join their Quantitative Trading desk. This role involves delivering high-quality quantitative strategies, monitoring trading and strategy performance, and implementing signals within the global execution platform.

The ideal candidate will have a completed degree in a quantitative field, strong Python skills, and an eagerness to explore global markets. An immediate start is required.

Graduate Quantitative Analyst – Trading Desk (Python/ML) employer: Onyx Capital Group

At Onyx, we pride ourselves on being an exceptional employer that fosters a culture of high performance and continuous development. Our commitment to employee growth is evident through our in-house learning initiatives, providing opportunities for creative collaboration and skill enhancement in a dynamic environment. As a Mid-Weight Video Editor, you'll not only contribute to impactful educational content but also thrive in a supportive atmosphere that values innovation and teamwork.

O

Contact Details:

Onyx Capital Group Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Graduate Quantitative Analyst – Trading Desk (Python/ML)

✨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 Onyx Capital Group!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Graduate Quantitative Analyst – Trading Desk (Python/ML) at Onyx Capital Group.

✨Leverage Professional Networks

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 Onyx Capital Group.

✨Apply Directly through Our Website

When you find a suitable opening like Graduate Quantitative Analyst – Trading Desk (Python/ML) at Onyx Capital Group, 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 Graduate Quantitative Analyst – Trading Desk (Python/ML)

Quantitative Skills
Python
Machine Learning
Strategy Development
Performance Monitoring
Signal Implementation
Global Market Analysis

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 Onyx Capital Group, 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 Onyx Capital Group. 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 Onyx Capital Group

✨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 Onyx Capital Group!

✨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.