At a Glance
- Tasks: Join us to build predictive models and develop algorithms for global trading.
- Company: Jump Trading is a leader in applying cutting-edge research to financial markets.
- Benefits: Enjoy perks like private medical insurance, paid parental leave, and a group pension scheme.
- Other info: Training includes courses in trading, programming, and advanced skills from industry experts.
- Why this job: This role offers a unique blend of research, trading, and software development in a collaborative culture.
- Qualifications: Ideal candidates are analytical minds with skills in programming or quantitative analysis; no finance experience needed.
The predicted salary is between 36000 - 60000 £ per year.
Jump Trading is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivising collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organisations and universities to solve problems.
About the Role:
At Jump, our people contribute to trading teams in the following roles, or a blend of all three: quant trader, quant researcher, and quant developer. Quant Traders will get training in all of these areas, with a focus in trading and financial markets. You will also participate in mock trading sessions, poker training, and other modules designed to improve probabilistic thinking, risk-taking, and trader mindset.
You will then work alongside our trading teams to devise trading strategies across global markets.
Other duties as assigned or needed.
Who Should Apply?
We are seeking the sharpest analytical minds from top undergraduate and graduate programs.
Ideal candidates will have:
- Outstanding skills in probabilistic thinking and mathematical reasoning
- Competitive spirit and uncommon drive to learn and improve
- Programming experience
- Appetite for risk-taking
- Demonstrated interest in financial markets
Reliable and predictable availability required.
INTERNATIONAL STUDENTS are encouraged to apply.
Benefits include:
- Private Medical, Vision and Dental Insurance
- Travel Medical Insurance
- Group Pension Scheme
- Group Life Assurance and Income Protection Schemes
- Paid Parental Leave
- Parking and Commuter Benefits
Campus Quantitative Trader (Full-Time) in London employer: Jump Trading
Jump Trading is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for aspiring quantitative traders. With a focus on empowering talent through intensive training and mentorship, interns will gain hands-on experience in developing predictive models and automated trading strategies while working alongside industry experts. Located in a dynamic environment, Jump offers unique opportunities for personal and professional growth, ensuring that every team member can thrive and contribute to groundbreaking research in financial markets.
StudySmarter Expert Advice🤫
We think this is how you could land Campus Quantitative Trader (Full-Time) in London
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative trading and algorithmic strategies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your programming skills, particularly in Python and C++. Being proficient in these languages will give you a significant edge, as they are commonly used in developing trading algorithms.
✨Tip Number 3
Network with professionals in the field of quantitative trading. Attend relevant meetups, webinars, or conferences to connect with industry experts and gain insights that could be beneficial for your application.
✨Tip Number 4
Stay updated on financial markets and current events. Understanding how global events impact trading can demonstrate your enthusiasm and readiness for the role, making you a more attractive candidate.
We think you need these skills to ace Campus Quantitative Trader (Full-Time) in London
Some tips for your application 🫡
Understand the Role:Before applying, make sure you fully understand the responsibilities of a Campus Quantitative Trader. Familiarise yourself with the skills required, such as programming in Python or R, and knowledge in statistics and machine learning.
Tailor Your CV:Craft your CV to highlight relevant experiences and skills that align with the job description. Emphasise any projects or coursework related to quantitative analysis, programming, or data science.
Write a Compelling Cover Letter:Your cover letter should reflect your passion for quantitative trading and your eagerness to learn. Mention specific experiences that demonstrate your analytical skills and your ability to work collaboratively.
Showcase Your Technical Skills:If you have experience with programming languages or tools mentioned in the job description, be sure to include them. Provide examples of how you've used these skills in practical situations, such as projects or internships.
How to prepare for a job interview at Jump Trading
✨Showcase Your Analytical Skills
As a Campus Quantitative Trader, you'll need to demonstrate your analytical prowess. Prepare examples of past projects or experiences where you've applied mathematical or statistical methods to solve complex problems. Be ready to discuss your thought process and the outcomes.
✨Familiarise Yourself with Relevant Technologies
Jump Trading values technical skills highly. Brush up on programming languages like Python and R, as well as concepts in machine learning and data analysis. Being able to discuss how you've used these technologies in previous work or projects will set you apart.
✨Emphasise Your Curiosity and Willingness to Learn
The role requires a strong desire to learn and adapt. Be prepared to talk about how you've pursued knowledge in your field, whether through coursework, personal projects, or research. Highlight any instances where you've taken the initiative to expand your skill set.
✨Demonstrate Team Collaboration
Jump Trading values collaboration and mutual respect. Share experiences where you've worked effectively in teams, especially in high-pressure situations. Discuss how you contributed to group success and how you handle differing opinions or challenges within a team setting.
