At a Glance
- Tasks: Develop cutting-edge trading strategies using Machine Learning for Equities markets.
- Company: IMC, a leading trading firm known for innovation and collaboration.
- Benefits: Competitive salary, global reach, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on creativity and impactful problem-solving.
- Why this job: Join a dynamic team pushing the boundaries of trading technology.
- Qualifications: Graduate in Machine Learning or Statistics with 3+ years as a Quantitative Researcher.
The predicted salary is between 60000 - 80000 £ per year.
IMC is looking for experienced quantitative researchers to develop high to mid frequency delta one trading strategies and predictive models for Equities markets. If you’re excited about helping to push the boundaries of what we can do with Machine Learning in trading, unlocking the significant edges we have in execution, and collaborating to become the best trading firm worldwide, this may be the role for you.
We have longstanding and significant edges across market access, global reach, Options understanding and low latency. The rapid growth we’ve already seen in Machine Learning has unlocked these edges, and some of the most interesting and impactful problems are now being tackled.
IMC competes and wins as a team, with open idea sharing and collaboration across disciplines, desks and offices.
Your Core Responsibilities
- Conduct large-scale data analysis to generate statistically robust predictions of market behavior, which guide all trading decisions and drive high-impact improvements across global offices.
- Work as part of an established and expanding research team, collaborating closely with traders, software and hardware developers globally to enhance our models and drive measurable improvements in production performance.
- Contribute to defining the strategic direction of research and tooling initiatives.
- Leverage creativity and expertise to quickly produce high-quality, testable ideas.
- Apply a disciplined and systematic approach to ensure results are robust and thoroughly validated.
- Build a deep understanding of market dynamics and potential optimization areas, working closely with operational traders to implement improvements.
Your Skills And Experience
- Graduate & Postgraduate studies from a leading University; majoring in Machine Learning, Statistics, or STEM related subjects.
- 3+ years’ experience as a Quantitative Researcher, with specific experience in the high to mid-frequency delta one space, ideally within Equities markets.
- A proven track record of developing value-adding and orthogonal features across multiple families.
- Practical experience extracting value from a range of sources (both public feed and alternative data).
- Strong programming skills in at least one language (python preferred).
- Solid understanding of statistics.
- Significant practical experience with at least one mainstream ML approach is required, whilst familiarity with a variety of machine learning approaches and the risks of overfitting is preferred.
- Exceptional interpersonal and communication skills, combined with a proven capacity to collaborate across disciplines and work autonomously to achieve goals.
Quantitative Researcher - Equities in London employer: IMC Trading
IMC is an exceptional employer for Quantitative Researchers, offering a dynamic work culture that thrives on collaboration and innovation. With a strong focus on leveraging Machine Learning in trading, employees benefit from significant growth opportunities and the chance to tackle impactful challenges in a supportive environment. Located in a vibrant financial hub, IMC provides access to cutting-edge resources and a global network, making it an ideal place for professionals eager to make a meaningful impact in the Equities markets.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher - Equities in London
✨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
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 Quantitative Researcher - Equities at IMC Trading.
✨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 IMC Trading.
✨Apply Directly through Our Website
When you find a suitable opening like Quantitative Researcher - Equities 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 Quantitative Researcher - Equities in London
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.
