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- Tasks: Enhance portfolio management through innovative signal development and financial modelling.
- Company: Leading investment management firm in London with an inclusive work culture.
- Benefits: Flexible arrangements, substantial benefits, and community engagement opportunities.
- Why this job: Join a dynamic team to make impactful contributions in finance and technology.
- Qualifications: Strong STEM background, exceptional Python skills, and two years in a quantitative role.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 42000 - 84000 £ per year.
A leading investment management firm in London is seeking a Quantitative Researcher to enhance portfolio management through innovative signal development. The role demands a strong background in STEM, exceptional skills in Python, and a minimum of two years in a quantitative role. You will collaborate with portfolio managers on financial modelling and stay abreast of market trends.
The firm champions an inclusive work culture with substantial benefits including flexible arrangements and opportunities for community engagement.
Discretionary Quant Researcher — Signals & Portfolio Tools employer: LGBT Great
Contact Detail:
LGBT Great Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Discretionary Quant Researcher — Signals & Portfolio Tools
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the firm on LinkedIn. 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 quantitative projects, especially those involving Python. This will help us demonstrate our expertise and creativity during interviews.
✨Tip Number 3
Stay updated on market trends! Read up on the latest in financial modelling and signal development. Being knowledgeable will impress interviewers and show that we’re genuinely interested in the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our approach based on the specific requirements listed in the job description.
We think you need these skills to ace Discretionary Quant Researcher — Signals & Portfolio Tools
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your STEM background and any relevant quantitative experience. We want to see how your skills in Python and financial modelling can contribute to our innovative signal development.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about portfolio management and how you stay updated on market trends. We love seeing genuine enthusiasm for the role.
Showcase Your Projects: If you've worked on any interesting projects or research, don’t hold back! Share them in your application. We’re keen to see how you’ve applied your quantitative skills in real-world scenarios.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at LGBT Great
✨Brush Up on Your Python Skills
Make sure you're comfortable with Python, as it's a key requirement for the role. Review your past projects and be ready to discuss how you've used Python in quantitative research or financial modelling.
✨Know Your Signals
Familiarise yourself with different types of signals used in portfolio management. Be prepared to discuss innovative signal development and how it can enhance portfolio performance. This shows your proactive approach and understanding of the industry.
✨Stay Current with Market Trends
Keep up-to-date with the latest market trends and developments in investment management. Being able to discuss recent changes or innovations in the field will demonstrate your passion and commitment to the role.
✨Emphasise Collaboration
Since the role involves working closely with portfolio managers, highlight your teamwork skills. Share examples of how you've successfully collaborated in previous roles, especially in a quantitative context, to show you’re a great fit for their inclusive culture.
