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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
- 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 in City of London 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 in City of London
✨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 in City of London
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 your Python skills shine, so don’t hold back on showcasing your projects!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the ML Research Scientist role. We love it when candidates connect their experiences directly to what we’re looking for, so make it personal!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Let us see your thought process without getting lost in the details!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Citadel Enterprise Americas LLC
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and statistics. Be ready to discuss your previous projects in detail, especially those involving Python. The more you can demonstrate your expertise, the better!
✨Showcase Your Research Skills
Prepare to talk about the research lifecycle you've managed. Highlight how you've shipped impactful models and engineered scalable pipelines. Use specific examples to illustrate your contributions and the outcomes of your work.
✨Understand the Company’s Focus
Familiarise yourself with the company’s trading strategies and how machine learning plays a role in their operations. This will show that you're not just interested in the job, but also in how you can contribute to their success.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the role and the industry. Inquire about the tools they use, the challenges they face, and how your role could influence trading outcomes. This shows your enthusiasm and strategic thinking.