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- Tasks: Analyse data and build pricing models to support investment decisions.
- Company: Global investment firm in London with a high-performance culture.
- Benefits: Competitive salary, diverse thinking environment, and career advancement opportunities.
- Why this job: Join a dynamic team and make impactful contributions to asset management.
- Qualifications: Master's or PhD, Python proficiency, and 3+ years of experience required.
- Other info: Collaborate closely with Portfolio Managers in a fast-paced setting.
The predicted salary is between 43200 - 72000 £ per year.
A global investment firm in London seeks a Quantitative Research Analyst to support its asset management team. The candidate will perform data analysis and modeling for investment decisions, assist in building pricing models, and collaborate closely with Portfolio Managers.
A Master's degree or PhD and proficiency in Python with 3+ years of experience is required. This role offers the opportunity to work in a high-performance culture that values diverse thinking.
Front Office Quant Analyst - Python Pricing in City of London employer: LGBT Great
Contact Detail:
LGBT Great Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Front Office Quant Analyst - Python Pricing in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment and quant space on LinkedIn. A friendly message can go a long way, and you never know who might have a lead on your dream job.
✨Tip Number 2
Show off your Python skills! Prepare a portfolio of projects or analyses you've done using Python. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your data analysis and modelling techniques. Consider mock interviews with friends or mentors to get comfortable discussing your thought process and problem-solving approach.
✨Tip Number 4
Apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your skills. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Front Office Quant Analyst - Python Pricing in City of London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your proficiency in Python right from the get-go. We want to see how you've used it in your previous roles, especially in data analysis and modelling. Don't just say you're good at it; give us examples!
Tailor Your CV and Cover Letter: When applying, customise your CV and cover letter to reflect the specific requirements of the Front Office Quant Analyst role. We love seeing candidates who take the time to align their experiences with what we're looking for, so make it personal!
Quantify Your Achievements: Use numbers to back up your achievements. Whether it's the impact of a pricing model you built or the efficiency gains from your data analysis, we want to see the tangible results of your work. It helps us understand the value you can bring to our team.
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 shows us you’re keen on joining our team!
How to prepare for a job interview at LGBT Great
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss specific projects where you've used Python for data analysis or model building. Practising coding challenges can also help you demonstrate your proficiency.
✨Understand the Investment Landscape
Familiarise yourself with current trends in asset management and quantitative research. Being able to discuss recent market developments or investment strategies will show that you're not just a tech whiz but also understand the financial context of your work.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and pricing models. Review common quantitative methods and be ready to explain how you've applied them in your previous roles. It’s also a good idea to prepare some examples of how you’ve solved complex problems using these techniques.
✨Showcase Your Collaborative Spirit
Since this role involves working closely with Portfolio Managers, be ready to discuss your experience in teamwork and collaboration. Share examples of how you've successfully worked in a team setting, especially in high-pressure environments, to highlight your fit for their high-performance culture.
