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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 approach.
- 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 City of 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 City of 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 have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your proficiency in Python or KDB. We want to see how you tackle real-world problems, so make sure to showcase your analytical abilities and any relevant trading strategies you've worked on.
✨Tip Number 3
Practice makes perfect! Get comfortable with transaction cost analysis and market microstructures. We recommend running through some mock scenarios or case studies to sharpen your decision-making skills under pressure.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us. Don’t miss out on this opportunity!
We think you need these skills to ace Trader - Hedge Fund in City of 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 skills. We want to see how your background aligns 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 skills can contribute to our Quant Execution Analytics team. Keep it concise but impactful.
Showcase Your Analytical Skills: Since this role involves market analysis and transaction cost review, be sure to include examples of how you've used data to drive decisions in past roles. We love seeing those analytical chops in action!
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. Familiarise yourself with transaction cost analysis (TCA) as it’s a key part of the role.
✨Show Off Your Python Skills
Since proficiency in Python is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain a piece of code. Practise writing clean, efficient code and be ready to discuss your past projects where you used Python in a trading context.
✨Understand Market Microstructures
Dive deep into market microstructures and be prepared to discuss how they impact trading strategies. Think about how you would collect market intelligence and analyse these structures to improve execution processes. Having real-world examples will help you stand out.
✨Be Ready for Interdisciplinary Questions
This role sits at the intersection of trading, quantitative modelling, and technology. Be prepared to answer questions that touch on all these areas. Show that you can communicate effectively with traders, quants, and tech teams, and highlight any experience you have in project management.