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- Tasks: Research and develop quantitative trading strategies for government bonds in a fast-paced environment.
- Company: Join a leading financial firm based in London, focused on innovative trading solutions.
- Benefits: Enjoy competitive pay, remote work options, and a dynamic team culture.
- Why this job: Be part of a results-driven team that values creativity and collaboration in trading.
- Qualifications: Advanced degree in maths, stats, or computer science; strong programming skills required.
- Other info: Ideal for those passionate about quantitative trading and looking to make an impact.
The predicted salary is between 48000 - 84000 £ per year.
We have a current opportunity for a EU Gov Bonds Trader on a permanent basis. The position will be based in London.
Job summary
As an Associate or Vice President within the Rates Trading Strategies team, you will research, develop, test, and implement quantitative trading strategies, with a focus on risk management and return maximization on linear Interest Rates products (Government Bonds, IR Swaps). You will be responsible for collaborating with Quantitative Research, Voice Trading and Technology to deliver these strategies to production, and with the wider team to integrate them within a portfolio of strategies, in a fast-paced, results-orientated environment.
Job Responsibilities
- Conduct in-depth research of systematic alpha opportunities
- Develop and implement quantitative trading models, algorithms, and strategies
- Back-test and optimize trading strategies using rigorous analysis
- Originate innovative trading strategies in collaboration with the voice trading desks
- Collaborate with the technology teams to build and maintain robust trading systems
- Deliver an end-to-end product, from the idea to real-time trading
Required qualifications, capabilities, and skills
- You have an advanced degree (or equivalent) in mathematics, statistics, or computer science.
- You demonstrate strong programming skills in Python, Java, or similar languages.
- You have hands-on experience processing with large tick datasets and research at scale.
- You demonstrate in-depth knowledge of statistical modelling and inference, machine learning, and optimization techniques.
- You have proven experience in quantitative trading with a demonstrable track record.
- You have excellent problem-solving and analytical skills.
- You have the ability to work independently and as part of a team.
Preferred qualifications, capabilities, and skills
- You have experience with high-frequency trading, electronic trading or algorithmic trading.
- You demonstrate knowledge of database systems (KDB, SQL)
- You have outstanding communication skills.
- You have experience working collaboratively on common codebases using git.
Gov Bonds Quant Trader employer: Huxley
Contact Detail:
Huxley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gov Bonds Quant Trader
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative trading, especially in government bonds. Understanding current market dynamics and how they affect trading strategies will give you an edge during interviews.
✨Tip Number 2
Network with professionals in the finance and trading sectors. Attend industry events or webinars to connect with people who can provide insights into the role and potentially refer you internally.
✨Tip Number 3
Brush up on your programming skills, particularly in Python or Java. Consider working on personal projects or contributing to open-source projects that showcase your ability to develop trading algorithms.
✨Tip Number 4
Prepare to discuss your previous experiences with quantitative trading and any successful strategies you've implemented. Be ready to explain your thought process and the outcomes of your work to demonstrate your expertise.
We think you need these skills to ace Gov Bonds Quant Trader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced degree in mathematics, statistics, or computer science. Emphasise your programming skills in Python or Java, and include any relevant experience with quantitative trading and statistical modelling.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your experience with developing and implementing quantitative trading strategies, and how you can contribute to the Rates Trading Strategies team.
Showcase Relevant Experience: When detailing your work experience, focus on specific projects where you conducted research, developed trading models, or collaborated with technology teams. Use metrics to demonstrate your impact and success in previous roles.
Highlight Soft Skills: Don't forget to mention your problem-solving abilities and teamwork experience. The job requires collaboration with various teams, so showcasing your communication skills and ability to work independently will strengthen your application.
How to prepare for a job interview at Huxley
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in Python, Java, or similar languages during the interview. Be prepared to discuss specific projects where you've implemented quantitative trading models or algorithms, as this will demonstrate your hands-on experience.
✨Demonstrate Your Analytical Thinking
Prepare to discuss your approach to problem-solving and how you conduct in-depth research of systematic alpha opportunities. Use examples from your past experiences to illustrate your analytical skills and your ability to optimise trading strategies.
✨Collaborative Mindset
Since the role involves working closely with various teams, emphasise your ability to collaborate effectively. Share examples of how you've worked with quantitative researchers, voice trading desks, or technology teams to deliver successful trading strategies.
✨Knowledge of Market Trends
Stay updated on current trends in government bonds and interest rates. Being able to discuss recent market movements or changes in regulations can show your passion for the field and your commitment to staying informed, which is crucial for a trader.
