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- Tasks: Collaborate with Portfolio Managers on signal development and portfolio optimisation.
- Company: Global alternative investment management firm with an inclusive culture.
- Benefits: Professional development opportunities and a supportive work environment.
- Why this job: Make a real impact in finance while developing your quantitative skills.
- Qualifications: Strong Python knowledge, risk model experience, and a STEM degree required.
- Other info: Ideal for those looking to grow in a dynamic and innovative field.
The predicted salary is between 36000 - 60000 £ per year.
A global alternative investment management firm is seeking a quantitative researcher to support discretionary portfolio management. The role involves closely collaborating with Portfolio Managers on signal development, optimisation of portfolios, and data analysis.
Candidates should have a strong knowledge of Python, experience with risk models, and a minimum of 2 years in a quant role. A STEM degree is required, and the firm emphasises professional development and inclusive work culture.
Discretionary Quant Researcher: Signals & Portfolios employer: Man Group
Contact Detail:
Man Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Discretionary Quant Researcher: Signals & Portfolios
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quant space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, risk models, or any relevant data analysis work. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your quantitative skills and understanding the latest trends in discretionary portfolio management. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Discretionary Quant Researcher: Signals & Portfolios
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python expertise and any experience you have with risk models. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Discretionary Quant Researcher position. We love seeing candidates who take the time to connect their experiences with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role!
How to prepare for a job interview at Man Group
✨Know Your Quant Basics
Brush up on your quantitative finance fundamentals. Be ready to discuss risk models and portfolio optimisation techniques, as these are crucial for the role. We recommend preparing examples from your past experience where you successfully applied these concepts.
✨Show Off Your Python Skills
Since strong Python knowledge is a must, make sure you can talk about your coding experience confidently. We suggest preparing a couple of projects or problems you've solved using Python that relate to data analysis or signal development.
✨Collaborate Like a Pro
This role involves working closely with Portfolio Managers, so be prepared to discuss how you’ve collaborated in previous roles. We advise thinking of specific instances where your teamwork led to successful outcomes, highlighting your communication skills.
✨Embrace Professional Development
The firm values professional growth, so express your eagerness to learn and develop further. We suggest mentioning any courses, certifications, or workshops you've attended that relate to quantitative research or portfolio management.
