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- Tasks: Develop advanced ML models for forecasting complex time series in a dynamic trading environment.
- Company: Leading prop-trading firm in London with a focus on innovation and autonomy.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Why this job: Shape research and trading strategies while working with cutting-edge machine learning technology.
- Qualifications: 7+ years in quantitative research or systematic trading, strong Python skills, and clear communication.
- Other info: Remote work option available, fostering a culture of creativity and independence.
The predicted salary is between 43200 - 72000 £ per year.
A prop-trading firm in London seeks an experienced professional to develop advanced ML models for forecasting complex time series. The ideal candidate will have over 7 years in quantitative research or systematic trading, a strong background in Python, and the ability to communicate complex ideas clearly. This role offers a flexible work environment focused on innovation and autonomy, allowing you to truly shape research and trading strategies.
Senior Time-Series ML Researcher - Remote in London employer: Redbridge
Contact Detail:
Redbridge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Time-Series ML Researcher - Remote in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the prop-trading and ML space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ML models and time-series analyses. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as this is key for roles that require clear communication.
✨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.
We think you need these skills to ace Senior Time-Series ML Researcher - Remote in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 7+ years in quantitative research or systematic trading. We want to see how your background aligns with the role, so don’t hold back on showcasing your relevant projects and achievements!
Python Proficiency is Key: Since a strong background in Python is essential, include specific examples of how you've used it in your previous work. We love seeing practical applications of your skills, so share any cool ML models or forecasting techniques you've developed.
Communicate Clearly: This role requires the ability to communicate complex ideas clearly. When writing your application, keep it concise and straightforward. We appreciate clarity, so avoid jargon unless it's absolutely necessary!
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. Plus, it’s super easy!
How to prepare for a job interview at Redbridge
✨Know Your Time-Series Inside Out
Make sure you brush up on your time-series analysis skills. Be prepared to discuss various forecasting techniques and how you've applied them in past projects. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Python Proficiency
Since a strong background in Python is crucial for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your previous projects. Have examples ready that highlight your ability to develop advanced ML models.
✨Communicate Complex Ideas Clearly
This role requires clear communication of complex concepts. Practice explaining your past work in a way that’s easy to understand. Use analogies or simple terms to break down intricate ideas, as this will showcase your ability to convey information effectively.
✨Embrace the Flexible Work Environment
Since the firm values innovation and autonomy, think about how you can contribute to this culture. Prepare to discuss how you’ve thrived in flexible environments before and how you plan to take initiative in shaping research and trading strategies.
