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- Tasks: Lead the development of trading model research tools and collaborate with teams to enhance processes.
- Company: A leading proprietary trading firm in London known for innovation.
- Benefits: Exciting role in a dynamic environment with no sponsorship required.
- Why this job: Join a cutting-edge team and make a real impact in trading technology.
- Qualifications: Advanced degree, strong MLOps skills, and proficiency in Python with TensorFlow and PyTorch.
- Other info: Great opportunity for career growth in a fast-paced industry.
The predicted salary is between 43200 - 72000 £ per year.
A leading proprietary trading firm in London is looking for a Senior Research Engineer to enhance its trading model research framework. The ideal candidate will have an advanced degree, strong MLOps expertise, and proficiency in Python with tools like TensorFlow and PyTorch.
You will lead the development of new tools and collaborate with teams to refine processes. This exciting role offers the chance to work in an innovative environment without sponsorship.
Senior ML Research Engineer – Trading Platform in City of London employer: Flow Traders
Contact Detail:
Flow Traders Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Research Engineer – Trading Platform 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 projects, especially those involving MLOps and Python. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML scenarios and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior ML Research Engineer – Trading Platform in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your MLOps expertise and Python proficiency in your application. We want to see how you’ve used tools like TensorFlow and PyTorch in your previous projects, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific experiences that relate to enhancing trading model research frameworks, as this will show us you’re the right fit for our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experience at a glance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Flow Traders
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, TensorFlow, and PyTorch. Brush up on your MLOps knowledge too, as you’ll likely be asked to discuss how you’ve implemented these tools in past projects.
✨Showcase Your Research Skills
Prepare to talk about your previous research experiences, especially those related to trading models. Be ready to explain your thought process and the impact of your work on the overall trading strategy.
✨Collaboration is Key
Since this role involves working with various teams, think of examples where you successfully collaborated on projects. Highlight your communication skills and how you’ve helped refine processes in a team setting.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s trading model research framework and their innovative environment. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
