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- Tasks: Analyse market data and develop trading strategies for high-frequency trading.
- Company: Leading financial sciences firm with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Make a significant impact in systematic trading and data analysis.
- Qualifications: Degree in STEM, experience in quantitative research, and strong Python skills.
- Other info: Join a team that values creativity and analytical thinking.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial sciences firm is seeking an experienced Quantitative Researcher to join their Market Making & Intraday Alpha team in London. The role involves systematically analyzing market data, developing trading strategies, and enhancing the high-frequency trading research platform.
Ideal candidates should have:
- a degree in a relevant STEM field,
- experience in quantitative research,
- strong programming skills in Python.
This exciting position promises significant impact in systematic trading and data analysis.
Quantitative Researcher: HFT & Market Making (MMIA) employer: Two Sigma
Contact Detail:
Two Sigma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher: HFT & Market Making (MMIA)
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quantitative research space on LinkedIn. A friendly message can go a long way, and you never know who might have a lead on your dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your trading strategies or data analysis projects. This is your chance to demonstrate your programming prowess in Python and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your quantitative research knowledge. Be ready to discuss market data analysis and your approach to developing trading strategies. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. It’s the best way to ensure your application gets noticed.
We think you need these skills to ace Quantitative Researcher: HFT & Market Making (MMIA)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any relevant quantitative research experience. We want to see how you can contribute to our Market Making & Intraday Alpha team!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Quantitative Researcher role. We love seeing candidates who take the time to connect their experiences with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at Two Sigma
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific data analysis techniques you've used in the past. Be prepared to explain how you approached a problem, the data you analysed, and the outcomes of your strategies.
✨Show Off Your Coding Skills
Since strong programming skills in Python are essential, make sure you can demonstrate your coding abilities. Consider preparing a small project or example that showcases your proficiency and be ready to walk through your thought process during the interview.
✨Understand the Market
Familiarise yourself with current trends in high-frequency trading and market making. Being able to discuss recent developments or challenges in the industry will show your passion and understanding of the field, which is crucial for this role.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that test your analytical thinking. Practice solving quantitative problems on the spot, as this will help you demonstrate your ability to think critically and apply your knowledge effectively.