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- Tasks: Develop risk models and monitor portfolio exposures while collaborating with traders.
- Company: Leading quantitative hedge fund in Greater London with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Tackle innovative problems at the intersection of science and finance.
- Qualifications: Up to 2 years of market risk experience and strong Python programming skills.
- Other info: Ideal for analytical minds looking to make an impact in finance.
The predicted salary is between 36000 - 60000 £ per year.
A leading quantitative hedge fund in Greater London is seeking a highly analytical Quantitative Risk Analyst. The successful candidate will develop risk models, monitor portfolio exposures, and collaborate with traders and developers.
The ideal applicant will have up to 2 years of experience in market risk, strong programming skills in Python, and a degree from a top tier university. This role presents a unique opportunity to work on innovative problems at the intersection of science and finance.
Quantitative Risk Analyst: Real-Time Risk Modeling & Insights in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Risk Analyst: Real-Time Risk Modeling & Insights in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and risk modelling 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
Prepare for those interviews by brushing up on your Python skills. Make sure you can talk about your past projects and how you've tackled real-time risk modelling challenges. We want to see your analytical side shine!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your skills and interests. Tailor your approach to show why you're a perfect fit for their team.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you top of mind. Share a relevant insight or question that came up during the chat to show your enthusiasm and engagement with the role.
We think you need these skills to ace Quantitative Risk Analyst: Real-Time Risk Modeling & Insights in London
Some tips for your application 🫡
Show Off Your Analytical Skills: Make sure to highlight your analytical abilities in your application. We want to see how you approach problem-solving, especially in the context of risk modeling and portfolio management.
Demonstrate Your Programming Prowess: Since strong programming skills in Python are a must, don’t forget to mention any relevant projects or experiences. We love seeing how you've applied your coding skills in real-world scenarios!
Tailor Your Application: Take the time to customise your CV and cover letter for this role. We’re looking for candidates who understand the unique challenges of quantitative risk analysis, so make sure to reflect that in your application.
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 this exciting opportunity at the forefront of finance and science.
How to prepare for a job interview at Jobster
✨Know Your Models
Make sure you understand the risk models you've worked with in the past. Be ready to discuss how you developed them, the challenges you faced, and how they impacted portfolio management. This shows your analytical skills and depth of knowledge.
✨Brush Up on Python
Since strong programming skills in Python are a must, review your coding projects and be prepared to demonstrate your proficiency. You might be asked to solve a problem on the spot, so practice coding challenges related to risk analysis.
✨Understand Market Risk
Familiarise yourself with current market trends and risk factors that affect hedge funds. Being able to discuss recent developments in the financial markets will show your passion for the field and your ability to think critically about risk.
✨Collaborate and Communicate
This role involves working closely with traders and developers, so highlight any experience you have in collaborative environments. Prepare examples of how you effectively communicated complex ideas to non-technical stakeholders, as this will demonstrate your teamwork skills.
