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- Tasks: Analyse large data sets and develop profitable trading strategies using machine learning.
- Company: Leading quantitative trading firm in the City of Westminster.
- Benefits: Comprehensive medical, dental, and pension schemes.
- Why this job: Join a dynamic team and enhance trading models with cutting-edge technology.
- Qualifications: Strong programming skills in C++ and Python; advanced degree in Statistics, Physics, or Mathematics.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading quantitative trading firm in the City of Westminster is seeking Quantitative Researchers to analyze large data sets and develop profitable trading strategies. Candidates should possess strong programming skills in C++ and Python, alongside an advanced degree in Statistics, Physics, or Mathematics. The role requires collaboration with traders and developers to enhance trading models using machine learning and statistical analysis techniques. We offer comprehensive benefits including medical, dental, and pension schemes.
Quantitative Researcher - Trading & Machine Learning in Westminster employer: Jump Trading
Contact Detail:
Jump Trading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Trading & Machine Learning in Westminster
✨Tip Number 1
Network like a pro! Reach out to professionals in the quantitative trading space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your programming projects in C++ and Python. This is your chance to demonstrate your expertise in machine learning and statistical analysis.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data structures. Practice coding challenges online to get comfortable with the types of 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 by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Quantitative Researcher - Trading & Machine Learning in Westminster
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in C++ and Python right from the start. We want to see how you can leverage these languages to tackle complex data sets and develop those killer trading strategies!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect your experience in Statistics, Physics, or Mathematics. We love seeing how your background aligns with our needs, so make it personal!
Collaboration is Key: Since this role involves working closely with traders and developers, mention any past experiences where you’ve collaborated on projects. We’re all about teamwork here at StudySmarter, so show us you can play well with others!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Jump Trading
✨Know Your Data
Make sure you’re well-versed in the types of data sets you’ll be working with. Brush up on your statistical analysis techniques and be ready to discuss how you’ve used them in past projects. This will show that you can hit the ground running.
✨Show Off Your Coding Skills
Since strong programming skills in C++ and Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with common algorithms and data structures relevant to trading.
✨Collaborate Like a Pro
This role involves working closely with traders and developers, so be prepared to discuss your teamwork experiences. Think of examples where you successfully collaborated on projects, especially those involving machine learning or trading models. Highlight your communication skills!
✨Stay Updated on Market Trends
Being knowledgeable about current market trends and trading strategies can set you apart. Research recent developments in quantitative trading and machine learning applications. Bring insights to the interview that demonstrate your passion for the field and your proactive approach.
