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- Tasks: Join our team to monitor trading activities and develop quantitative trading models.
- Company: Tyler Capital is a dynamic proprietary trader in global financial markets using cutting-edge technology.
- Benefits: Enjoy competitive salary, private health insurance, gym membership, and generous annual leave.
- Why this job: Be part of a small, collaborative team where your ideas matter and growth is encouraged.
- Qualifications: Advanced Python skills and a degree in Maths, Engineering, or Computer Science are essential.
- Other info: This role offers front-office experience alongside seasoned traders in a fast-paced environment.
The predicted salary is between 30000 - 42000 £ per year.
Tyler Capital is a proprietary trader of global financial markets. We use a combination of machine learning and algorithmic trading strategies to trade futures on the CME, Eurex, ICE and TMX. We are a small team with an open, collaborative culture where everyone contributes to the core strategies and technology.
Role Overview
We’re looking for a Junior Quantitative Trader with a strong focus on technology to join our team. This is a team-based role where you’ll collaborate with experienced traders and developers, working on the latest technologies in global markets. You will play a crucial part in managing and developing our trading strategies, with an emphasis on systematic trading and technology-driven solutions. You must live in the UK and be eligible to work here. You must be open to working long hours for this role including early starts and out of hours support.
Key Responsibilities
- Market Monitoring & Trading Support
- Monitor trading activities and assist in real-time trading operations.
- Ensure compliance with risk management protocols and regulatory requirements.
- Support the team in driving commercial viability and revenue generation of trading strategies.
- Provide trade support and product coverage as part of a 24/5 operation.
- Assist in developing and enhancing quantitative trading models.
- Respond to economic and geopolitical events that impact trading strategies.
- Use proprietary tools to analyse and optimize trade performance.
- Use data driven analysis to develop trading strategies and explore opportunities.
- Track and report on the performance of trading models, focusing on risk, revenue, and operational conduct.
- Implement process improvements to enhance trading efficiency and mitigate risks.
Essential Skills & Qualifications
- Advanced skills in Python with experience interrogating large datasets.
- Maths, Engineering, Computer Science or similar degree.
- Strong mathematical, computational skills and technical aptitude.
- Strong quantitative and analytical skills with meticulous attention to detail.
- Ability to thrive in a fast-paced, dynamic environment and manage multiple projects.
Desirable Skills & Experience
- Previous experience in financial markets is desirable; if you cannot demonstrate work experience in finance, we’d expect you to show evidence of a keen interest in and knowledge of the markets and trading.
- Experience trading curve products and associated risk management would be beneficial.
- Direct experience in supporting traders and managing trading positions.
- Familiarity with economics and market dynamics.
- Understanding of systematic trading principles.
Personal Attributes
- High energy, motivation, and a proactive approach to challenges and problem-solving.
- Persistent, tenacious and determined.
- Innate curiosity and a passion for digging into data and understanding complex systems.
- Excellent communication skills and ability to explain technical concepts.
- Ability to form strong working relationships within the team.
- Entrepreneurial spirit and a commitment to excellence.
- Strong organizational skills and a disciplined approach to model management.
- Dedication to continuous learning and professional development.
Benefits
- Competitive salary with annual compensation review.
- Contributory pension scheme with salary sacrifice options.
- Private health insurance, with options for family coverage.
- 25 days annual leave, rising to 30 over time.
- Maternity and paternity benefits.
- Gym membership (‘flex’ allowance payment).
- Life Assurance/Death in Service.
- Working on markets alongside highly experienced traders and quants gaining great front-office experience.
- Ability to really make a difference in a small team.
- The role is principally office-based with occasional working from home possible.
If you’re passionate about quantitative trading, technology, and have a relentless curiosity to dig deeper and understand complex systems, we want to hear from you. Join us at Tyler Capital, where your ideas are valued, and your growth is supported.
Junior Quantitative Trader employer: Tyler Capital
Contact Detail:
Tyler Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Quantitative Trader
✨Tip Number 1
Familiarise yourself with the latest trends in algorithmic trading and machine learning. This will not only help you understand the core strategies used at Tyler Capital but also demonstrate your genuine interest in the role during any discussions.
✨Tip Number 2
Network with professionals in the finance and trading sectors. Attend industry events or webinars to connect with traders and quants, which can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Brush up on your Python skills, especially in data analysis and manipulation. Consider working on personal projects or contributing to open-source projects that involve quantitative trading to showcase your technical abilities.
✨Tip Number 4
Stay updated on current economic events and their impact on financial markets. Being able to discuss recent market movements and how they relate to trading strategies will show your proactive approach and understanding of the industry.
We think you need these skills to ace Junior Quantitative Trader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced skills in Python and any relevant experience with large datasets. Emphasise your educational background in Maths, Engineering, or Computer Science, as well as any projects that showcase your quantitative and analytical skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for quantitative trading and technology. Mention specific examples of how you've demonstrated curiosity and problem-solving skills in past experiences. Highlight your ability to thrive in fast-paced environments and your commitment to continuous learning.
Showcase Relevant Experience: If you have previous experience in financial markets, be sure to detail it. If not, include any coursework, projects, or personal initiatives that demonstrate your keen interest in trading and market dynamics. This could include simulations, trading competitions, or relevant research.
Highlight Team Collaboration Skills: Since the role involves working closely with a small team, emphasise your ability to form strong working relationships. Provide examples of past teamwork experiences where you contributed to a project or supported others, showcasing your communication skills and collaborative spirit.
How to prepare for a job interview at Tyler Capital
✨Showcase Your Technical Skills
As a Junior Quantitative Trader, you'll need to demonstrate your advanced skills in Python and your ability to work with large datasets. Be prepared to discuss specific projects or experiences where you've applied these skills, and consider bringing examples of your code or analyses to the interview.
✨Understand Market Dynamics
Familiarise yourself with current trends in financial markets, especially those related to futures trading. Being able to discuss recent economic events and their potential impact on trading strategies will show your genuine interest and knowledge in the field.
✨Emphasise Team Collaboration
Tyler Capital values a collaborative culture, so be ready to share examples of how you've successfully worked in teams. Highlight your communication skills and your ability to form strong working relationships, as this will be crucial in a team-based role.
✨Demonstrate Your Curiosity
Show your passion for digging into data and understanding complex systems. Prepare questions that reflect your curiosity about the company's trading strategies and technologies, as this will demonstrate your proactive approach and eagerness to learn.
