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- Tasks: Lead research projects, develop impactful machine learning models, and create scalable data pipelines.
- Company: Top global market maker in London with a focus on innovation.
- Benefits: Autonomy in research, access to resources, and competitive compensation.
- Why this job: Make a real impact on trading outcomes using cutting-edge machine learning techniques.
- Qualifications: Advanced degree in quantitative fields, strong Python skills, and experience in statistics or ML.
- Other info: Dynamic work environment with opportunities for professional growth.
The predicted salary is between 60000 - 80000 £ per year.
A leading global market maker in London is seeking a Machine Learning Researcher. You will own the research lifecycle, ship impactful models, and engineer scalable pipelines. Ideal candidates have advanced degrees in quantitative fields, strong Python skills, and experience in statistics or machine learning. This role offers substantial autonomy and resources to drive research that influences trading outcomes.
ML Research Scientist - Options & Alpha Discovery employer: Citadel Enterprise Americas LLC
Contact Detail:
Citadel Enterprise Americas LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Research Scientist - Options & Alpha Discovery
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. This is your chance to demonstrate your Python prowess and research capabilities in a way that stands out.
✨Tip Number 3
Prepare for interviews by brushing up on your statistics and ML concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace ML Research Scientist - Options & Alpha Discovery
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced degrees and any relevant experience in statistics or machine learning. We want to see how your strong Python skills can contribute to impactful models!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the ML Research Scientist role. We love seeing how you align with our mission and values.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Citadel Enterprise Americas LLC
✨Know Your Models Inside Out
Make sure you can discuss the machine learning models you've worked on in detail. Be prepared to explain your thought process, the challenges you faced, and how you overcame them. This shows your depth of knowledge and problem-solving skills.
✨Brush Up on Python and Statistics
Since strong Python skills are a must, practice coding problems related to data manipulation and model implementation. Also, review key statistical concepts that underpin your work, as you may be asked to apply them during the interview.
✨Demonstrate Your Research Impact
Be ready to share specific examples of how your research has influenced trading outcomes or improved processes. Quantify your achievements where possible, as this will help illustrate the real-world impact of your work.
✨Prepare Questions About Autonomy and Resources
This role offers substantial autonomy, so think about what that means for you. Prepare thoughtful questions about how the company supports its researchers and the resources available to drive impactful research. This shows your interest in making a meaningful contribution.