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- Tasks: Conduct research to uncover trading insights and manage the research pipeline.
- Company: Innovative firm in London with a focus on ethical trading practices.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Join a fast-paced team and make an impact in global macro markets.
- Qualifications: Strong background in maths, stats, machine learning, and programming skills.
- Other info: Exciting opportunity for career advancement in a dynamic trading environment.
The predicted salary is between 36000 - 60000 £ per year.
An innovative firm is seeking a talented researcher to join their team in London. This role involves conducting research to identify systematic anomalies in global macro markets, along with feature engineering and managing the research pipeline.
Candidates should have a strong background in mathematics, statistics, and machine learning, as well as proficiency in programming languages like Python or R.
This position promises collaborative work within a fast-paced trading environment focused on ethical standards.
Macro Signal Scientist: Discover & Deploy Trading Insights in City of London employer: Point72 Careers
Contact Detail:
Point72 Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Macro Signal Scientist: Discover & Deploy Trading Insights in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and research fields 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 projects in mathematics, statistics, and machine learning. 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 technical knowledge. Be ready to discuss your experience with Python or R, and how you've applied these skills in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about trading insights and want to make a difference in the industry.
We think you need these skills to ace Macro Signal Scientist: Discover & Deploy Trading Insights in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your background in mathematics, statistics, and machine learning. We want to see how your skills can help us identify those systematic anomalies in global macro markets!
Be Specific About Your Experience: When detailing your previous work, focus on your experience with programming languages like Python or R. We love seeing concrete examples of how you've used these tools in your research.
Keep It Professional Yet Personal: While we appreciate a professional tone, don’t be afraid to let your personality shine through. We’re looking for someone who fits into our collaborative and fast-paced environment, so a bit of flair can go a long way!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Point72 Careers
✨Know Your Maths and Stats
Brush up on your mathematics and statistics knowledge, as these are crucial for the role. Be prepared to discuss specific concepts or techniques you've used in past projects, especially those related to systematic anomalies in macro markets.
✨Show Off Your Programming Skills
Make sure you’re comfortable with Python or R, as these languages are key for this position. Bring examples of your coding work or projects where you've applied machine learning techniques, and be ready to explain your thought process.
✨Research the Company’s Trading Approach
Familiarise yourself with the firm’s trading strategies and ethical standards. This will not only show your interest but also help you align your answers with their values during the interview.
✨Prepare for Collaborative Scenarios
Since the role involves teamwork in a fast-paced environment, think of examples from your past experiences where you successfully collaborated with others. Highlight how you contributed to the team’s success and how you handle feedback.
