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- Tasks: Join a dynamic team to develop quantitative tools and analyse data in asset management.
- Company: Hays is a leading recruitment firm connecting talent with top financial services companies.
- Benefits: Gain valuable experience, potential for extension, and opportunities within the firm.
- Why this job: Kickstart your finance career while learning from industry experts in a collaborative environment.
- Qualifications: Strong academic background in Maths, Quant Finance, Computer Science, or Engineering; Python skills required.
- Other info: Initial 6-month role with potential for further opportunities.
The predicted salary is between 28800 - 48000 £ per year.
Hays are excited to be working with a leading Asset Management firm to hire a junior/graduate to work within their Fixed Income Quant research team. Working within a small team and reporting to the Head of Quant Research, you will have the opportunity to learn from some very experienced and intelligent colleagues. This opportunity will give you a fantastic insight into the world of asset management and will give you a great start to your financial services career. Although initially for 6 months, there may be opportunities elsewhere in the firm once this position is complete. Furthermore, there could be the possibility of an extension (depending on the needs).
You will help the team prepare and develop quantitative tools and models and be responsible for the analysis of quantitative data.
We are seeking a candidate with a very strong academic background, ideally from a Mathematical, Quantitative finance, Computer Science, Engineering or Scientific background. You will need to have a keen interest in financial markets, and it would be preferable to have some kind of work experience in this field (such as an internship), if not covered certain financial modules in your degree/masters.
To apply, it is essential that you are able to use Python as there is likely to be some form of test involved in the interview process (experience from university is acceptable).
For more information, please apply asap.
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Quant Researcher - Hays
✨Tip Number 1
Brush up on your Python skills! Since the interview process may include a coding test, make sure you're comfortable with Python programming. Practise by working on small projects or solving problems on platforms like LeetCode or HackerRank.
✨Tip Number 2
Familiarise yourself with quantitative finance concepts. Understanding key principles such as risk management, portfolio optimisation, and financial modelling will not only help you in interviews but also show your genuine interest in the field.
✨Tip Number 3
Network with professionals in the asset management industry. Attend relevant events, webinars, or join online forums to connect with people who work in quant research. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare for behavioural interview questions. Be ready to discuss your academic background, any relevant projects, and how your experiences have shaped your interest in financial markets. Show enthusiasm and a willingness to learn from your future colleagues.
We think you need these skills to ace Graduate Quant Researcher - Hays
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the key responsibilities and requirements. Highlight your relevant skills and experiences that align with the role of a Graduate Quant Researcher.
Tailor Your CV: Customise your CV to reflect your academic background in Mathematics, Quantitative Finance, or related fields. Emphasise any relevant coursework, projects, or internships that demonstrate your quantitative skills and interest in financial markets.
Showcase Python Skills: Since proficiency in Python is essential for this role, make sure to highlight any experience you have with Python programming. Include specific examples of projects or tasks where you used Python, especially in a quantitative context.
Craft a Compelling Cover Letter: Write a cover letter that expresses your enthusiasm for the position and the company. Discuss why you are interested in asset management and how your background makes you a suitable candidate for the Graduate Quant Researcher role.
How to prepare for a job interview at Hays
✨Brush Up on Python
Since the interview will likely include a test involving Python, make sure you're comfortable with the language. Review key concepts and practice coding problems that are relevant to quantitative analysis.
✨Understand Financial Markets
Demonstrating a keen interest in financial markets is crucial. Stay updated on current trends and be prepared to discuss how they impact quantitative research and asset management.
✨Showcase Your Academic Background
Highlight your strong academic background in Mathematics, Quantitative Finance, or related fields. Be ready to discuss specific projects or coursework that relate to the role, especially any practical applications of your studies.
✨Prepare Questions for Your Interviewers
Having insightful questions ready shows your enthusiasm for the role and the company. Ask about the team's current projects, the tools they use, or opportunities for growth within the firm.