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- Tasks: Join a dynamic team to enhance trading processes and onboard new products.
- Company: Leading quantitative hedge fund with a global presence and innovative culture.
- Benefits: Competitive salary, cutting-edge technology, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on best trading practices and career advancement.
- Why this job: Make an impact in the fast-paced world of trading and quantitative analysis.
- Qualifications: Proficiency in Python/KDB and familiarity with transaction cost analysis.
The predicted salary is between 60000 - 80000 £ per year.
My client is a leading quantitative hedge fund, which engages in systematic, process-driven proprietary trading. The firm builds automated trading strategies aimed at capturing market inefficiencies across various markets and asset classes from a few milliseconds to longer term, both pure arbitrage or statistical in nature. The team has an extensive history of successfully running quantitative trading strategies for more than a decade and had spun out as a Hedge Fund. They operate at the intersection of trading, quantitative modelling, and technology, and roles are therefore highly interdisciplinary. They trade on state-of-the-art infrastructure to handle their large trading volumes with offices globally.
They are looking to add a Trader to their Quant Execution Analytics (QEA) team. The team manages the central high-touch execution ecosystem across asset classes, and you will be responsible for:
- Interfacing with traders, execution quants, external counterparties, and other internal stakeholders on designing and improving the execution processes, as well as onboarding new products to trade.
- Collecting market intelligence and analysing market microstructures.
- Reviewing transaction costs and recommending trading improvements in coordination with traders and quantitative developers.
- Promoting and enforcing best trading practices on the High-Touch desk.
Requirements:
- Proficiency in Python and/or KDB.
- Familiarity with transaction cost analysis (TCA).
- Experience with project management tools and methodologies.
- Ability to work closely with trading desks and understand detailed market structures.
Trader - Hedge Fund in London employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trader - Hedge Fund in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. We can’t stress enough how important it is to build relationships; you never know who might help you land that Trader role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your proficiency in Python and KDB. We want to see how you can apply your knowledge to real-world scenarios, especially in trading and execution analytics.
✨Tip Number 3
Practice makes perfect! Brush up on your transaction cost analysis (TCA) and market microstructure knowledge. We recommend doing mock interviews with friends or mentors to get comfortable discussing these topics.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for passionate candidates who are ready to dive into the world of quantitative trading.
We think you need these skills to ace Trader - Hedge Fund in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Trader role. Highlight your experience with quantitative trading, Python, and any relevant project management tools. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about trading and how your background makes you a great fit for our Quant Execution Analytics team. Keep it concise but impactful!
Showcase Your Analytical Skills: Since this role involves analysing market microstructures and transaction costs, be sure to include examples of your analytical work. We love seeing how you've tackled complex problems in the past!
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 Quantitative Stuff
Make sure you brush up on your quantitative trading knowledge. Understand the principles behind systematic trading and be ready to discuss how you would approach market inefficiencies. Familiarity with transaction cost analysis (TCA) is a must, so be prepared to explain how you've used it in past roles.
✨Show Off Your Python Skills
Since proficiency in Python is key for this role, make sure you can demonstrate your coding skills. Prepare to discuss specific projects where you've used Python to solve trading problems or improve execution processes. If you have any relevant code samples, bring them along!
✨Understand Market Microstructures
Dive deep into market microstructures before your interview. Be ready to talk about how different structures affect trading strategies and execution. This will show that you not only understand the theory but can also apply it practically in your role.
✨Be Ready for Interdisciplinary Questions
Since this role sits at the intersection of trading, quantitative modelling, and technology, expect questions that test your ability to collaborate across disciplines. Think of examples from your experience where you've worked with traders, quants, or tech teams to achieve a common goal.