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- Tasks: Design and implement portfolio optimisation frameworks to boost risk-adjusted returns.
- Company: Leading financial services firm in the heart of London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for innovation.
- Why this job: Join a fast-paced team and make a real impact in finance.
- Qualifications: Advanced degree in a quantitative field and skills in Python or C++.
- Other info: Collaborate with investment professionals and analyse large datasets.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial services firm is seeking a highly skilled Portfolio Optimisation Quant to join their investment team in London. This role involves designing, implementing, and maintaining portfolio optimisation frameworks to enhance risk-adjusted returns. The successful candidate will develop advanced optimisation models, collaborate with investment professionals, and analyse large datasets.
An advanced degree in a quantitative field and proficiency in Python or C++ are required. This position offers a dynamic, fast-paced environment for quantitative innovation.
Quant Portfolio Optimisation Engineer in City of London employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Portfolio Optimisation Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services sector, especially those working in portfolio optimisation. A friendly chat can lead to valuable insights and even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your optimisation models and data analysis projects. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your Python or C++ skills. Be ready to discuss your past projects and how you've tackled complex problems in portfolio optimisation.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests, so take advantage of it and get your application in!
We think you need these skills to ace Quant Portfolio Optimisation Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in portfolio optimisation and any relevant quantitative skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your Python or C++ expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about portfolio optimisation and how you can contribute to our investment team. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, include examples of how you've tackled complex datasets or developed optimisation models in the past. We’re looking for candidates who can demonstrate their analytical prowess and innovative thinking.
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 you’re keen on joining our team!
How to prepare for a job interview at Selby Jennings
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills and concepts related to portfolio optimisation. Be ready to discuss advanced optimisation models and how they can enhance risk-adjusted returns. We recommend preparing examples from your past work that showcase your expertise in this area.
✨Show Off Your Coding Skills
Since proficiency in Python or C++ is a must, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. We suggest familiarising yourself with libraries and frameworks commonly used in financial modelling.
✨Understand the Investment Landscape
Familiarise yourself with current trends in the financial services industry, especially those related to portfolio management. Being able to discuss how market conditions affect portfolio optimisation will show that you’re not just a numbers person but also understand the bigger picture.
✨Prepare for Collaboration Questions
This role involves working closely with investment professionals, so expect questions about teamwork and collaboration. Think of examples where you successfully worked in a team to solve complex problems. We suggest highlighting your communication skills and how you can translate quantitative findings into actionable insights.
