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- Tasks: Develop automated volatility trading strategies and contribute to innovative research.
- Company: Leading global investment management firm in Greater London.
- Benefits: Comprehensive benefits package and career advancement opportunities.
- Why this job: Join a supportive team and make an impact in quantitative trading.
- Qualifications: Strong mathematical degree and proficiency in Python required.
- Other info: Inclusive environment with excellent growth potential.
The predicted salary is between 43200 - 72000 £ per year.
A leading global investment management firm in Greater London is looking for highly motivated individuals to join their Volatility research team. Candidates will be engaged in developing automated volatility trading strategies and contributing to broader research efforts.
A strong degree with mathematical focus and proficiency in Python is essential. The role offers career advancement opportunities in a supportive and inclusive environment, along with a comprehensive benefits package.
Senior Volatility Quant Researcher — Quantitative Trading employer: Man Group
Contact Detail:
Man Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Volatility Quant Researcher — Quantitative Trading
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the volatility research field. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your Python projects, especially those related to automated trading strategies. This will help us demonstrate our expertise during interviews.
✨Tip Number 3
Stay updated on market trends! Read up on the latest in quantitative trading and volatility strategies. This knowledge will impress interviewers and show that we’re genuinely interested in the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our skills align with the role.
We think you need these skills to ace Senior Volatility Quant Researcher — Quantitative Trading
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your mathematical background and Python proficiency in your application. We want to see how your skills align with the role of a Senior Volatility Quant Researcher, so don’t hold back!
Tailor Your Application: Take the time to customise your CV and cover letter for this specific role. Mention any relevant experience in developing automated trading strategies or working in quantitative research, as it’ll make you stand out to us.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Man Group
✨Brush Up on Your Maths Skills
Since the role requires a strong mathematical focus, make sure you’re comfortable discussing complex concepts. Review key topics in probability, statistics, and financial mathematics that are relevant to volatility trading.
✨Show Off Your Python Proficiency
Be prepared to demonstrate your coding skills in Python during the interview. Practice writing scripts or algorithms that could be used in automated trading strategies, as this will showcase your technical abilities.
✨Understand the Market Dynamics
Familiarise yourself with current trends in volatility trading and the broader financial markets. Being able to discuss recent developments or case studies will show your passion and understanding of the field.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the team’s research focus, the company culture, and career advancement opportunities. This not only shows your interest but also helps you gauge if it’s the right fit for you.
