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- Tasks: Apply machine learning to optimise trading strategies and build intraday alpha signals.
- Company: Global investment management firm in Greater London with an inclusive culture.
- Benefits: Comprehensive benefits package and flexible working options.
- Why this job: Join a leading firm and make a real impact in algorithmic trading.
- Qualifications: Experience in algorithmic trading, statistics, and programming required.
The predicted salary is between 48000 - 72000 £ per year.
A global investment management firm in Greater London seeks a candidate skilled in algorithmic trading and building intraday alpha signals. The role involves applying machine learning techniques to optimize trading strategies. Ideal candidates will have substantial experience on the Buy side and deep knowledge of statistics and programming. We offer a comprehensive benefits package and promote an inclusive workplace culture.
Senior Quantitative Researcher – Intraday Futures Alpha (Flexible) employer: Man Group
Contact Detail:
Man Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Researcher – Intraday Futures Alpha (Flexible)
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment management field, especially those who work with algorithmic trading. A friendly chat can lead to valuable insights and even job referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects and trading strategies. This will give you an edge during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your statistics and programming skills before interviews. Use online resources or mock interviews to get comfortable discussing your technical expertise.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it’s a great way to ensure your application gets noticed by the right people in our inclusive workplace culture.
We think you need these skills to ace Senior Quantitative Researcher – Intraday Futures Alpha (Flexible)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in algorithmic trading and building intraday alpha signals. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Showcase Your Skills: In your cover letter, emphasise your expertise in machine learning techniques and how you've applied them to optimise trading strategies. We love seeing real-world examples of your work, so include any specific achievements or results.
Be Authentic: Let your personality shine through in your application. We value an inclusive workplace culture, so don’t hesitate to share what makes you unique and how you can contribute to our team dynamic.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Man Group
✨Know Your Algorithms
Brush up on your knowledge of algorithmic trading and the specific techniques used in intraday alpha signal generation. Be prepared to discuss your past experiences and how you've applied machine learning to optimise trading strategies.
✨Statistics Are Key
Make sure you have a solid grasp of statistical concepts relevant to quantitative research. Expect questions that test your understanding of statistical methods and how they apply to trading strategies, so be ready to provide examples from your previous work.
✨Showcase Your Programming Skills
Familiarise yourself with the programming languages commonly used in quantitative research, such as Python or R. Be prepared to discuss specific projects where you’ve implemented code to solve complex problems or improve trading performance.
✨Cultural Fit Matters
Research the company’s culture and values, especially their commitment to inclusivity. Think about how your personal values align with theirs and be ready to share examples of how you’ve contributed to a positive workplace environment in the past.
