Delta-One ML Quant Researcher β€” Equities Trading

Delta-One ML Quant Researcher β€” Equities Trading

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
IMC Trading

At a Glance

  • Tasks: Develop delta one trading strategies through large-scale data analysis.
  • Company: IMC Trading, a leading firm in the Equities market.
  • Benefits: Competitive salary, collaborative environment, and global team exposure.
  • Other info: Opportunity to work with cutting-edge technology and enhance your programming skills.
  • Why this job: Join a dynamic team and shape the future of trading with your expertise.
  • Qualifications: Graduate/Postgraduate degree in Machine Learning or Statistics and 3+ years of experience.

The predicted salary is between 60000 - 80000 Β£ per year.

IMC Trading is seeking experienced Quantitative Researchers based in Greater London to develop delta one trading strategies for Equities markets. This role involves large-scale data analysis to guide trading decisions while collaborating closely with global teams to enhance models and production performance.

The ideal candidate holds a Graduate or Postgraduate degree in Machine Learning or Statistics and has over 3 years of experience in the delta one space. Strong programming skills, particularly in Python, and experience with various data sources are essential.

Delta-One ML Quant Researcher β€” Equities Trading employer: IMC Trading

IMC Trading is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer extensive training and development opportunities, allowing our team members to thrive in their careers while working on cutting-edge delta one trading strategies. Our commitment to diversity and inclusion, coupled with competitive benefits, makes IMC Trading a rewarding place for talented individuals looking to make a significant impact in the equities market.

IMC Trading

Contact Details:

IMC Trading Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Delta-One ML Quant Researcher β€” Equities Trading

✨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 IMC Trading!

✨Show Off Your Projects

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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 IMC Trading.

✨Apply Directly through Our Website

When you find a suitable opening like Delta-One ML Quant Researcher β€” Equities Trading at IMC Trading, 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 Delta-One ML Quant Researcher β€” Equities Trading

Quantitative Research
Delta One Trading Strategies
Large-Scale Data Analysis
Collaboration Skills
Model Enhancement
Production Performance
Machine Learning

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 IMC Trading, 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 IMC Trading. 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 IMC Trading

✨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 IMC Trading!

✨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.