At a Glance
- Tasks: Analyse vast data sets to uncover market patterns and develop predictive trading models.
- Company: Join a leading global quantitative trading firm with a dynamic London office.
- Benefits: Enjoy comprehensive health insurance, paid leave, and a retirement plan with employer match.
- Other info: Thriving team environment with opportunities for professional growth and innovation.
- Why this job: Make an impact in the trading world while collaborating with top scientists and developers.
- Qualifications: Masters or PhD in relevant fields and strong programming skills in C++/Python.
The predicted salary is between 50000 - 70000 £ per year.
Jump’s London office is the hub for managing Jump’s substantial United Kingdom, European and expanding Middle Eastern operations, which includes all aspects of Jump’s robust activities, including quantitative research and development, trading, trading and back office systems development, and venture and strategic investments. Working in the London office has the feel of a smaller company with the benefits of being an integral part of one of the world’s leading global quantitative trading firms. Our Amsterdam office was born in 2018 as our first step into mainland Europe. Amsterdam is at the forefront of everyday European Trading events.
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 include:
- Medical, dental and vision insurance.
- Group Term Life and AD&D Insurance.
- Paid vacation plus paid holidays.
- Retirement plan with employer match.
- Paid parental leave.
- Wellness Programs.
Quantitative Researcher | Trading team employer: P2P
Jump Trading's London office offers a dynamic and collaborative work environment that combines the agility of a smaller company with the resources of a leading global quantitative trading firm. Employees benefit from comprehensive health insurance, generous paid leave, and a supportive culture that fosters professional growth through teamwork and innovation in the fast-paced world of quantitative research and trading. With opportunities to engage in cutting-edge machine learning and statistical analysis, Jump Trading is an excellent employer for those seeking meaningful and rewarding careers in finance.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher | Trading team
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, conferences, or even online webinars. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research projects, trading strategies, or any relevant work. This gives potential employers a taste of what you can bring to the table and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with statistical models, programming languages like Python or C++, and any machine learning techniques you've used. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your skills align with our needs, and let us know why you’re excited about working at Jump Trading.
We think you need these skills to ace Quantitative Researcher | Trading team
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Quantitative Researcher role. Highlight your programming skills in C++/Python and any relevant statistical models you've developed. We want to see how you can contribute to our trading team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative research and how your background fits with Jump's mission. Don't forget to mention any successful trading strategies you've implemented – we love a good success story!
Showcase Your Projects:If you've worked on any projects involving data analysis, machine learning, or statistical modelling, make sure to include them in your application. We’re keen to see how you’ve applied your skills in real-world scenarios, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at P2P
✨Know Your Data
Before the interview, brush up on your statistical analysis and data mining skills. Be ready to discuss specific projects where you've successfully analysed large data sets or developed predictive models. This will show your potential employer that you can hit the ground running.
✨Showcase Your Programming Skills
Make sure you're comfortable discussing your programming experience, especially in C++ and Python. Prepare examples of how you've used these languages in a trading context, and be ready to solve a coding problem on the spot if asked. This will demonstrate your technical prowess.
✨Collaborative Spirit
Jump values teamwork, so be prepared to talk about 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 highlight your ability to fit into their team-driven culture.
✨Stay Curious About Machine Learning
Express your enthusiasm for machine learning and its applications in trading. Discuss any relevant projects or research you've done in this area. Showing genuine interest in advancing machine learning within the trading community will resonate well with the interviewers.
