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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 market intelligence.
- 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 50000 - 70000 £ 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.
All Tradesmen in London employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land All Tradesmen in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at hedge funds or in quantitative trading. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! If you’ve got experience with Python or KDB, make sure to highlight that in conversations. Consider creating a small project or analysis to demonstrate your abilities and share it during interviews or networking chats.
✨Tip Number 3
Stay updated on market trends and trading strategies. Read up on the latest in quantitative trading and be ready to discuss how you can contribute to improving execution processes. This shows you're not just interested in the role but are also proactive about the industry.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals to join our team. Make sure your application stands out by tailoring it to the specific role and showcasing your unique skills and experiences.
We think you need these skills to ace All Tradesmen in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience with trading, quantitative modelling, and any relevant tech skills like Python or KDB. We want to see how your background fits into our interdisciplinary team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative trading and how you can contribute to our QEA team. Be specific about your skills and experiences that align with the job description.
Showcase Your Analytical Skills: Since the role involves market intelligence and transaction cost analysis, make sure to showcase any relevant projects or experiences. We love seeing how you've tackled similar challenges in the past!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who take that extra step!
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 basics of market microstructures and transaction cost analysis (TCA). Be ready to discuss how you can apply these concepts in real-world scenarios, especially in relation to the firm's automated trading strategies.
✨Show Off Your Python Skills
Since proficiency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain a piece of code. Practise common algorithms and data structures that are relevant to trading analytics, and be ready to discuss any projects you've worked on using Python.
✨Understand the Execution Ecosystem
Familiarise yourself with the execution processes and the role of a Trader in the Quant Execution Analytics team. Think about how you would interface with traders and quants, and be prepared to suggest improvements based on your understanding of best trading practices.
✨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 work across disciplines. Prepare examples from your past experiences where you successfully collaborated with different teams or tackled complex problems that required diverse skill sets.