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For Companies At a Glance
- Tasks: Analyse vast data sets to uncover insights and develop predictive trading models.
- Company: Join Jump Trading Group, a leader in innovative financial research.
- Benefits: Enjoy private medical insurance, pension schemes, and paid parental leave.
- Why this job: Make an impact in global markets while collaborating with top talents.
- Qualifications: Masters or PhD in Statistics, Physics, Mathematics; strong programming skills required.
- Other info: Dynamic team environment focused on creativity and constant innovation.
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 skills, using the results of their research to make forecasts and develop profitable predictive trading models.
What You’ll Do
- 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 employer: Jump Trading
Contact Detail:
Jump Trading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher | Trading Team
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Jump Trading Group 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 or research that highlights your programming prowess in C++/Python and your experience with statistical models. Bring it along to interviews to demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Brush up on your data analysis and machine learning techniques. You might get asked to solve a problem on the spot, so being sharp will help you stand out from the crowd.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Jump Trading team.
We think you need these skills to ace Quantitative Researcher | Trading Team
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in C++ and Python, as well as any experience with statistical models. We want to see how your background in Mathematics, Physics, or Computer Science can contribute to our trading team.
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.
Collaboration is Key: We thrive on teamwork, so don’t forget to mention any collaborative projects you’ve been part of. Show us how you’ve worked with others to push boundaries and achieve results in a research environment.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and get to know you better. Plus, it shows you’re serious about joining our innovative team!
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 used data sets to identify patterns and make forecasts, as this is crucial for a Quantitative Researcher role.
✨Showcase Your Programming Prowess
Make sure you can confidently talk about your experience with C++ and Python, especially in a Linux environment. Bring examples of projects where you applied machine learning techniques or developed trading strategies, as this will demonstrate your technical capabilities.
✨Collaborative Spirit
Jump Trading values teamwork, so be ready to share experiences where you collaborated with others. Highlight instances where you worked alongside traders, developers, or other researchers to push innovative ideas forward, showcasing your ability to thrive in a team-driven environment.
✨Stay Curious and Fearless
Emphasise your passion for advancing machine learning and your eagerness to tackle complex problems. Show that you're not afraid to think outside the box and are excited about the potential to innovate within the trading community.