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- Tasks: Collaborate with traders to enhance execution processes and onboard new trading flows.
- Company: Leading quantitative hedge fund with a focus on innovative trading strategies.
- Benefits: Competitive salary, performance bonuses, and a dynamic work environment.
- Other info: Opportunity for career growth in a global trading environment.
- Why this job: Join a fast-paced team at the forefront of trading technology and market analysis.
- Qualifications: 1-4 years in High-Touch execution, Python proficiency, and strong analytical skills.
The predicted salary is between 100000 - 100000 £ per year.
£100,000 GBP + Disc bonus
Onsite WORKING Location: Central London, Greater London - United Kingdom
Type: Permanent
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 both a Trader and Researcher profile 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. If you are looking to join a fast-paced, ever-evolving environment, I encourage you to apply.
Key Responsibilities:
- Collaborate with strategists to understand requirements and onboard new flows into the High-Touch execution pipeline
- Collect market intelligence and analyze market microstructures
- Review transaction costs and recommend trading improvements in coordination with traders and quantitative developers
- Liaise with dealers and external platforms (Tradeweb, Bloomberg, etc.)
- Promote and enforce best trading practices on the High-Touch desk
Role Requirements:
- 1-4 years of experience in a High-Touch execution role
- Proficiency in Python and/or KDB
- Strong analytical and communication skills
- Familiarity with transaction cost analysis (TCA)
- Experience with project management tools and methodologies
- Git/Jupyter skills are a plus
- Ability to work closely with trading desks and understand detailed market structures
Execution Trader in Islington employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Execution Trader in Islington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and market knowledge. Practice common interview questions related to execution trading and be ready to discuss your experience with Python and transaction cost analysis.
✨Tip Number 3
Showcase your analytical skills! Bring examples of how you've improved trading processes or reduced costs in previous roles. This will demonstrate your value to potential employers and set you apart from other candidates.
✨Tip Number 4
Don't forget to apply through our website! We have a range of exciting opportunities, and applying directly can give you a better chance of getting noticed. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Execution Trader in Islington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Execution Trader role. Highlight your experience in high-touch execution and any relevant skills like Python or KDB. 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 requires strong analytical abilities, include examples of how you've used data analysis in past roles. We love seeing how you’ve tackled challenges and improved processes!
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. We can’t wait to see what you bring to the table!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Numbers
As an Execution Trader, you'll need to be comfortable with data and analytics. Brush up on your transaction cost analysis (TCA) skills and be ready to discuss how you've used data to improve trading strategies in the past. This will show that you understand the core of the role.
✨Showcase Your Tech Skills
Familiarity with Python and KDB is crucial for this position. Make sure you can talk about your experience with these tools, perhaps even share a project where you used them effectively. If you have Git or Jupyter experience, don’t forget to mention that too!
✨Understand Market Microstructures
The firm values knowledge of market microstructures. Do your homework on how different markets operate and be prepared to discuss how you would collect market intelligence and analyse these structures to enhance execution processes.
✨Communicate Clearly
Strong communication skills are essential for liaising with traders and external platforms. Practice articulating your thoughts clearly and concisely, especially when discussing complex topics like execution processes or trading improvements. This will help you stand out as a collaborative team player.