At a Glance
- Tasks: Design and deploy trading strategies while managing a high-performance trading book.
- Company: Join a leading multi-manager hedge fund in the heart of London.
- Benefits: Competitive compensation with PnL % payouts and significant risk allocation.
- Other info: Exciting opportunity for career growth in quantitative trading.
- Why this job: Make impactful decisions in a fast-paced trading environment with high earning potential.
- Qualifications: Master's or PhD in a numerate field and strong Python coding skills required.
The predicted salary is between 80000 - 100000 € per year.
Anson McCade is looking for a Quantitative Portfolio Manager to join their multi-manager hedge fund in London. The successful candidate will design, backtest, and deploy trading strategies while managing a trading book aiming for Sharpe ratios above 2.
They require:
- A Master's or PhD in a numerate field
- Strong coding skills in Python
- Experience in quantitative trading
The position offers a significant risk allocation and competitive compensation including PnL % payouts.
Quant PM: Macro & Equities Intraday Trading employer: ANSON MCCADE
Anson McCade is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. With a strong focus on employee growth, we provide ample opportunities for professional development and competitive compensation packages, including PnL % payouts that reward your contributions directly. Join us to be part of a forward-thinking team that values your expertise and encourages you to excel in the fast-paced world of quantitative trading.
StudySmarter Expert Advice🤫
We think this is how you could land Quant PM: Macro & Equities Intraday Trading
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and trading sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding projects, especially those related to quantitative trading. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your past experiences with backtesting and deploying trading strategies, as well as your understanding of risk management.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Quant PM: Macro & Equities Intraday Trading
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your coding skills in Python and any relevant quantitative trading experience. We want to see how you can design and backtest trading strategies, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the job description. Mention your Master's or PhD and how it relates to the role. We love seeing candidates who take the time to connect their background with what we’re looking for.
Quantify Your Achievements:Whenever possible, use numbers to showcase your past successes. If you've managed a trading book or achieved impressive Sharpe ratios, let us know! We appreciate concrete examples that demonstrate your capabilities.
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 ANSON MCCADE
✨Know Your Numbers
Make sure you brush up on your quantitative skills and be ready to discuss your past experiences with trading strategies. Be prepared to explain how you achieved high Sharpe ratios in your previous roles, as this will show your understanding of risk and return.
✨Show Off Your Coding Skills
Since strong coding skills in Python are a must, we recommend you prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that relates to trading algorithms or data analysis.
✨Backtesting is Key
Be ready to talk about your experience with backtesting trading strategies. Have specific examples in mind where you designed, tested, and deployed a strategy. Discuss the tools you used and the outcomes, as this will highlight your practical knowledge in quantitative trading.
✨Understand the Market
Stay updated on current market trends and economic indicators that could impact macro and equities trading. Being able to discuss recent market movements and how they relate to your strategies will demonstrate your passion and insight into the field.
