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- Tasks: Lead the development of trading model research frameworks and integrate models into production.
- Company: A top proprietary trading firm in London, pioneering in trading technology.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join an innovative team and shape the future of trading technology.
- Qualifications: Advanced degree and 8+ years in MLOps or ML Research required.
- Other info: Be part of a cutting-edge team driving impactful trading solutions.
The predicted salary is between 60000 - 84000 £ per year.
A leading proprietary trading firm in London is looking for a Senior Research Engineer to spearhead the development of its trading model research framework. The ideal candidate will have an advanced degree and 8+ years of experience in MLOps or ML Research.
Responsibilities include:
- Partnering with Quantitative Researchers
- Leading the integration of trading models into production
This is an opportunity to work in an innovative team at the forefront of trading technology.
Senior Research Engineer: ML Pipelines for Production employer: Flow Traders
Contact Detail:
Flow Traders Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Engineer: ML Pipelines for Production
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and ML community on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Showcase your skills! Create a portfolio of your past projects, especially those related to MLOps or trading models. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and scenarios that relate to integrating models into production.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Research Engineer: ML Pipelines for Production
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in MLOps and ML Research. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about trading technology and how your background makes you the perfect fit for our innovative team.
Showcase Collaboration Skills: Since you'll be partnering with Quantitative Researchers, it’s important to highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action!
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’re considered for this exciting opportunity!
How to prepare for a job interview at Flow Traders
✨Know Your ML Pipelines
Make sure you brush up on your knowledge of machine learning pipelines. Be ready to discuss your experience with MLOps and how you've integrated models into production in the past. This will show that you understand the technical requirements of the role.
✨Collaborate Like a Pro
Since you'll be partnering with Quantitative Researchers, it's crucial to demonstrate your teamwork skills. Prepare examples of how you've successfully collaborated on projects before, highlighting your ability to communicate complex ideas clearly.
✨Showcase Your Innovative Side
This role is all about innovation in trading technology. Think of specific instances where you've contributed to innovative solutions or improvements in your previous roles. Be ready to share these stories to illustrate your forward-thinking mindset.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the firm's trading model research framework and their approach to integrating models into production. This shows your genuine interest in the role and helps you assess if it's the right fit for you.