At a Glance
- Tasks: Join our Rates Trading Strategies team to develop and implement cutting-edge trading strategies.
- Company: SThree is a dynamic recruitment company based in London, focused on innovative solutions.
- Benefits: Enjoy a permanent role with opportunities for growth and collaboration in a fast-paced environment.
- Why this job: Be part of a results-driven team that values creativity and innovation in trading.
- Qualifications: Advanced degree in maths, stats, or computer science; strong programming skills required.
- Other info: Experience in high-frequency or algorithmic trading is a plus; collaborative culture encouraged.
The predicted salary is between 48000 - 72000 £ per year.
We have a current opportunity for a EU Gov Bonds Trader on a permanent basis. The position will be based in London.
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: Computer Futures - London & S.E(Permanent and Contract)
Contact Detail:
Computer Futures - London & S.E(Permanent and Contract) 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. This will not only help you understand the market better but also give you insights into what strategies are currently being implemented successfully.
✨Tip Number 2
Network with professionals in the finance and trading sectors. Attend industry conferences or webinars where you can meet traders and quants. Building these connections can provide you with valuable information about job openings and company culture.
✨Tip Number 3
Brush up on your programming skills, particularly in Python and Java. Consider working on personal projects or contributing to open-source projects that involve quantitative trading models to showcase your abilities.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and analytical questions related to quantitative trading. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with coding challenges.
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, as well as your programming skills in Python or Java. Emphasise any relevant experience in quantitative trading and your ability to work with large datasets.
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 models, and how you can contribute to the Rates Trading Strategies team.
Showcase Relevant Projects: If you have worked on any projects related to high-frequency trading, electronic trading, or algorithmic trading, be sure to include these in your application. Highlight your problem-solving skills and any collaborative work using common codebases.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial in a fast-paced trading environment.
How to prepare for a job interview at Computer Futures - London & S.E(Permanent and Contract)
✨Showcase Your Quantitative Skills
Make sure to highlight your advanced degree and any relevant experience in mathematics, statistics, or computer science. Be prepared to discuss specific quantitative trading models or algorithms you've developed, as this will demonstrate your technical expertise.
✨Demonstrate Programming Proficiency
Since strong programming skills are essential for this role, be ready to talk about your experience with Python, Java, or similar languages. You might even want to prepare a coding example or two that showcases your ability to handle large datasets and implement trading strategies.
✨Discuss Collaboration Experience
This position requires working closely with various teams, so share examples of how you've successfully collaborated with others in the past. Highlight any experiences where you worked with technology teams or voice trading desks to develop and implement strategies.
✨Prepare for Technical Questions
Expect to face technical questions related to statistical modelling, machine learning, and optimisation techniques. Brush up on these topics and be ready to explain your thought process and problem-solving approach during the interview.