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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, global opportunities, and a chance to work with cutting-edge technology.
- Other info: Collaborative environment with excellent career growth potential.
- 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 City of London employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land All Tradesmen in City of 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 a job or can refer you directly.
✨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 proficiency 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 execution analytics. This knowledge will not only help you in interviews but also show your genuine interest in the field.
✨Tip Number 4
Apply through our website! We’re always looking for talented individuals to join our team. Make sure to tailor your application to highlight your interdisciplinary skills and how they align with the role in the Quant Execution Analytics team.
We think you need these skills to ace All Tradesmen in City of 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 should tell us why you're passionate about trading and how you can contribute to our Quant Execution Analytics team. Share specific examples of your past experiences that relate to the job description.
Showcase Your Analytical Skills: Since this role involves market intelligence and transaction cost analysis, make sure to showcase your analytical skills in your application. We love seeing how you've used data to drive decisions in previous roles!
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, 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 basics of market microstructures and transaction cost analysis, as these will likely come up in conversation. Being able to discuss specific strategies or tools you've used in the past will show that you're not just familiar with the concepts but have practical experience too.
✨Show Off Your Python Skills
Since proficiency in Python is a must, be prepared to discuss your experience with it. Bring examples of projects where you've used Python for trading analytics or automation. If possible, practice coding problems related to trading scenarios, as they might test your skills during the interview.
✨Understand the Role of Execution Analytics
Dive deep into what the Quant Execution Analytics team does. Familiarise yourself with how they interface with traders and quants. Be ready to discuss how you would improve execution processes or onboard new products, as this shows you understand the role's responsibilities and can think critically about them.
✨Be Ready to Discuss Project Management
Since experience with project management tools and methodologies is important, think of examples where you've successfully managed projects. Highlight your ability to coordinate with different teams and stakeholders, as this will demonstrate your collaborative skills and understanding of interdisciplinary work.