Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse vast data sets to uncover insights and enhance trading strategies.
- Company: Join a pioneering firm at the forefront of financial research and technology.
- Benefits: Enjoy private medical insurance, pension schemes, and paid parental leave.
- Other info: Dynamic, innovative culture that values creativity and teamwork.
- Why this job: Make a real impact in global markets while collaborating with top talents.
- Qualifications: Masters or PhD in relevant fields and strong programming skills required.
The predicted salary is between 36000 - 60000 £ per year.
Jump Trading Group 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 incenting 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 organizations and universities to solve problems. The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining.
Responsibilities
- Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets.
- Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models.
- Jump's Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business teams to push for the best expression of our new ideas.
- Other duties as assigned or needed.
Skills You'll Need
- Proven success with profitable trading strategies.
- Strong programming skills in C++/Python in a Linux environment.
- Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks, or support vector machines.
- Strong experience developing statistical models in a trading environment.
- Proven success working with large data sets and developing statistical models.
- Fascinated and interested in advancing machine learning within the trading community.
- Possess strong familiarity with Python, R or MATLAB along with development skills to support research efforts.
- Masters or PhD in Statistics, Physics, Mathematics (or related subject).
- Desire to work within a collaborative, team-driven environment.
- Reliable and predictable availability.
Benefits
- Private Medical, Vision and Dental Insurance
- Travel Medical Insurance
- Group Pension Scheme
- Group Life Assurance and Income Protection Schemes
- Paid Parental Leave
- Parking and Cycle Schemes
Quantitative Researcher | Trading Team in Westminster employer: Jump Trading
Contact Detail:
Jump Trading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher | Trading Team in Westminster
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Jump Trading on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your projects, especially those involving statistical models or machine learning. When you get the chance to chat with recruiters, share your work to demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Brush up on your coding skills in C++ or Python. You might face technical interviews where you'll need to solve problems on the spot, so being sharp will help you stand out.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Jump Trading team. Don’t miss out!
We think you need these skills to ace Quantitative Researcher | Trading Team in Westminster
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in C++/Python and any experience with statistical models. We want to see how you can apply your knowledge to real-world trading scenarios, so don’t hold back!
Be Data-Driven: Since we deal with tons of data, it’s crucial to demonstrate your experience with large data sets and your ability to extract insights. Share specific examples of how you've used data mining techniques or machine learning in your previous work.
Collaborate and Communicate: We love teamwork! In your application, mention any collaborative projects you've been part of, especially those involving scientists or traders. Show us how you can contribute to our unique culture of mutual respect and innovation.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into our system. Plus, it shows you’re serious about joining our team at Jump Trading.
How to prepare for a job interview at Jump Trading
✨Know Your Numbers
Brush up on your statistical analysis skills and be ready to discuss specific models you've developed. Be prepared to explain how you approached data mining and the outcomes of your research. This will show that you can apply your knowledge practically.
✨Showcase Your Coding Skills
Since strong programming skills in C++/Python are crucial, make sure you can talk about your experience in a Linux environment. Bring examples of projects where you've used these languages to solve complex problems, especially in trading contexts.
✨Collaborative Spirit
Jump Trading values teamwork, so highlight your experiences working in collaborative environments. Share examples of how you've worked with traders, developers, or other researchers to achieve common goals. This will demonstrate your fit within their unique culture.
✨Stay Curious and Innovative
Express your passion for machine learning and how it can advance trading strategies. Be ready to discuss any recent trends or technologies in quantitative research that excite you. This shows you're not just knowledgeable but also eager to push boundaries.