At a Glance
- Tasks: Conduct research and develop trading strategies using advanced statistical techniques.
- Company: Leading global market maker with a focus on innovation and integrity.
- Benefits: Competitive salary, meritocratic culture, and opportunities for continuous learning.
- Other info: Join a world-class team and thrive in a high-performance trading culture.
- Why this job: Make a real impact on trading performance in a dynamic environment.
- Qualifications: Strong background in mathematics or computer science and programming skills in Python.
The predicted salary is between 60000 - 80000 € per year.
Our client is a leading global market maker whose team of quantitative researchers brings markets to life by developing and implementing cutting-edge trading strategies every day. This highly skilled team leverages sophisticated statistical techniques to design, test, and optimize automated quantitative trading models that directly impact trading performance. They are seeking an extraordinary Quantitative Researcher who embodies their core values of winning, integrity, continuous learning, and fostering a meritocratic culture.
Key Responsibilities:
- Conduct in-depth research and statistical analysis to evaluate securities and trading opportunities
- Work with large and unconventional data sets to develop and enhance trading strategies that have immediate effects on P&L
- Conceptualize valuation methods, develop robust mathematical models, and translate algorithms into efficient, maintainable code
- Back-test models rigorously and implement trading signals within a live trading environment to optimize execution and profitability
Required Skills and Experience:
- Advanced academic background in mathematics, statistics, physics, computer science, or a closely related quantitative discipline
- Proficiency in probability and statistics, including time-series analysis, machine learning, pattern recognition, and natural language processing (NLP)
- Demonstrated experience working in a data-driven research environment, ideally within finance or related fields
- Strong programming skills, particularly in Python; familiarity with analytical tools such as R or Matlab and compiled languages like C++ is highly advantageous
- Exceptional analytical and problem-solving abilities with a track record of applying quantitative techniques to complex challenges
- Excellent communication skills, capable of clearly conveying advanced concepts and research findings
- Expertise in developing algorithms to analyze large datasets and conduct meticulous error checking
Why Join?
- Work alongside a world-class team driving innovation in automated trading
- Make an immediate, measurable impact on trading performance and profitability
- Thrive in a culture that rewards merit, encourages learning, and upholds the highest standards of integrity
If you are passionate about quantitative research and eager to contribute to a dynamic, high-performance trading environment, we would love to hear from you.
Interested in learning more? Click 'Apply Now', or reach out directly to Stephen Kennedy at Anson McCade via LinkedIn for more information.
Quantitative Researcher - Global Market Maker in London employer: ANSON MCCADE
Join a leading global market maker in the heart of London, where you will be part of a world-class team dedicated to innovation in automated trading. The company fosters a meritocratic culture that values continuous learning and integrity, offering exceptional opportunities for professional growth and the chance to make a tangible impact on trading performance. With competitive compensation and a collaborative work environment, this is an excellent opportunity for those passionate about quantitative research.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher - Global Market Maker in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quantitative research fields on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects. We recommend practising common quantitative research problems and coding challenges. Show them you can think on your feet and tackle complex problems with ease.
✨Tip Number 3
Tailor your approach! When you get an interview, make sure to highlight how your skills align with their needs. We want to see you connect your experience with their core values of winning and integrity. It’s all about showing them you’re the perfect fit for their team!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us. So go ahead, hit that 'Apply Now' button and let’s get the ball rolling!
We think you need these skills to ace Quantitative Researcher - Global Market Maker in London
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 advanced academic background and any relevant projects or research you've done in mathematics, statistics, or programming.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about quantitative research and how you embody our core values. Share specific examples of your work with data-driven research and how it has impacted trading performance.
Showcase Your Technical Skills:Don’t forget to mention your programming skills, especially in Python, and any experience with analytical tools like R or Matlab. We want to see how you’ve applied these skills in real-world scenarios, so be specific!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to receive your application and start the conversation about your future with us!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Numbers
Brush up on your statistics and probability concepts, especially those relevant to time-series analysis and machine learning. Be prepared to discuss how you've applied these techniques in past projects or research.
✨Showcase Your Coding Skills
Since strong programming skills are crucial for this role, make sure you can demonstrate your proficiency in Python. Bring examples of your code or projects that highlight your ability to develop algorithms and work with large datasets.
✨Prepare for Problem-Solving Questions
Expect to tackle complex quantitative problems during the interview. Practice explaining your thought process clearly and logically, as communication is key. Use examples from your experience to illustrate how you've approached similar challenges.
✨Understand the Company Culture
Familiarise yourself with the company's core values of winning, integrity, and continuous learning. Be ready to discuss how you embody these values and how they align with your own professional philosophy.
