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- Tasks: Research and backtest systematic macro trading signals while developing innovative trading strategies.
- Company: Leading investment management firm in the UK with a collaborative quant team.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Excellent communication skills are essential for success in this role.
- Why this job: Join a cutting-edge team and make an impact in the world of finance.
- Qualifications: Over 2 years of experience in systematic macro trading and strong data analysis skills.
The predicted salary is between 60000 - 80000 £ per year.
A leading investment management firm in the UK is seeking a quantitative researcher to join their collaborative quant team. This role involves researching and backtesting systematic macro trading signals, developing trading strategies, and collaborating with data teams.
Candidates should have over 2 years of experience in systematic macro trading and be proficient in data analysis and programming. A strong communication skill set is essential for success in this dynamic environment.
Systematic Macro Quant Researcher | Strategy & Backtesting employer: Winton
Contact Detail:
Winton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systematic Macro Quant Researcher | Strategy & Backtesting
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment management field 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! Prepare a portfolio showcasing your previous research and backtesting projects. This will give potential employers a taste of what you can bring to their quant team.
✨Tip Number 3
Practice makes perfect! Brush up on your programming and data analysis skills before interviews. Being able to discuss your methods confidently will impress the hiring managers.
✨Tip Number 4
Apply through our website! We make it easy for you to connect with us directly. Plus, it shows you're genuinely interested in being part of our collaborative quant team.
We think you need these skills to ace Systematic Macro Quant Researcher | Strategy & Backtesting
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 2+ years of experience in systematic macro trading. We want to see how your background aligns with the role, so don’t hold back on sharing relevant projects or achievements!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your skills in data analysis and programming.
Communicate Your Collaboration Skills: Since this role involves working closely with our quant team and data teams, let us know about your teamwork experiences. Share examples of how you’ve successfully collaborated in the past!
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 Winton
✨Know Your Quantitative Stuff
Make sure you brush up on your systematic macro trading knowledge. Be ready to discuss your previous experiences in developing trading strategies and backtesting signals. We recommend preparing specific examples of your work that highlight your analytical skills and programming expertise.
✨Show Off Your Data Skills
Since this role involves a lot of data analysis, be prepared to demonstrate your proficiency with relevant tools and programming languages. We suggest practising coding challenges or data analysis scenarios that could come up during the interview. This will show them you can hit the ground running!
✨Communicate Clearly
Strong communication skills are key in this collaborative environment. We advise you to practice explaining complex concepts in simple terms. Think about how you can convey your ideas effectively, especially when discussing your research findings or strategies with non-technical team members.
✨Be Ready for Teamwork Questions
As collaboration is a big part of this role, expect questions about teamwork and how you handle group dynamics. We suggest reflecting on past experiences where you worked closely with others, particularly in data teams. Highlight your ability to contribute positively to a team and adapt to different working styles.