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- Tasks: Develop and test automated trading strategies using advanced statistical techniques.
- Company: Join a Tier 1 Market Maker in the heart of London.
- Benefits: Enjoy competitive pay, innovative work culture, and opportunities for growth.
- Why this job: Dive into cutting-edge research and make an impact in live trading environments.
- Qualifications: Ideal candidates have a background in mathematics, statistics, or computer science with Python proficiency.
- Other info: Experience with algorithms and large datasets is essential.
The predicted salary is between 48000 - 84000 £ per year.
Quantitative Researcher – Rates / Credit
Tier 1 Market Maker
London, UK
FTE
As a Quantitative Researcher, you will develop and test automated trading strategies using sophisticated statistical techniques and large datasets, including unconventional sources.
Your role will involve conducting in-depth research, statistical analysis, and market pattern prediction while improving mathematical models and valuation strategies. These models and algorithms will be implemented and backtested in live trading environments to optimize performance.
Ideal candidates have systematic credit or rates experience, advanced training in mathematics, statistics, physics, or computer science, with expertise in probability, time-series analysis, and machine learning.
Proficiency with Python scripting and either R, MATLAB or C++ are required, alongside strong analytical and problem-solving skills. Experience with algorithms and large data investigations is critical, as is the ability to communicate complex concepts clearly
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Quantitative Researcher - Rates / Credit employer: CoTalent
Contact Detail:
CoTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Rates / Credit
✨Tip Number 1
Make sure to showcase your experience with systematic credit or rates in your conversations. Highlight specific projects where you've developed or tested trading strategies, as this will resonate well with the hiring team.
✨Tip Number 2
Brush up on your knowledge of statistical techniques and machine learning algorithms. Be prepared to discuss how you've applied these in real-world scenarios, especially in relation to market pattern prediction.
✨Tip Number 3
Familiarize yourself with the latest trends in automated trading and data analysis. Being able to discuss current market conditions and how they impact trading strategies can set you apart from other candidates.
✨Tip Number 4
Practice explaining complex mathematical concepts in simple terms. Strong communication skills are essential for this role, so being able to convey your ideas clearly will be a big plus during interviews.
We think you need these skills to ace Quantitative Researcher - Rates / Credit
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your systematic credit or rates experience in your application. Detail any previous roles where you developed or tested automated trading strategies, and mention specific statistical techniques you've used.
Showcase Technical Skills: Clearly outline your proficiency in Python, R, MATLAB, or C++. Include examples of projects or tasks where you utilized these programming languages, especially in relation to statistical analysis or machine learning.
Demonstrate Analytical Abilities: Provide concrete examples of how you've conducted in-depth research or market pattern predictions. Discuss any mathematical models or algorithms you've worked on, and how they improved performance in live trading environments.
Communicate Complex Concepts: Since the role requires clear communication of complex ideas, consider including a brief section in your application that explains a challenging concept or project in simple terms. This will showcase your ability to convey intricate information effectively.
How to prepare for a job interview at CoTalent
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python, R, MATLAB, or C++. Highlight specific projects where you've applied these skills, especially in developing algorithms or analyzing large datasets.
✨Demonstrate Your Analytical Thinking
Expect questions that assess your problem-solving abilities. Use examples from your past experiences to illustrate how you approached complex problems, particularly in statistical analysis and market predictions.
✨Discuss Your Research Experience
Prepare to talk about any in-depth research you've conducted, especially related to credit or rates. Be ready to explain your methodology and the outcomes of your research, focusing on how it can apply to trading strategies.
✨Communicate Complex Concepts Clearly
Since the role requires clear communication of complex ideas, practice explaining your work in a straightforward manner. This will help demonstrate your ability to convey intricate concepts effectively during the interview.
