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 36000 - 60000 € per year.
Job Description
Onsite WORKING
Location: London, Central London, Greater London - United Kingdom Type: Permanent
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
- 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
- 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
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 that champions innovation and excellence in automated trading. With a strong focus on meritocracy, continuous learning, and integrity, employees are empowered to make significant contributions to trading performance while collaborating with a world-class team. Located in a vibrant financial hub, this role offers unparalleled opportunities for professional growth and the chance to work with cutting-edge technology in a dynamic environment.
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 and participate in discussions to get your name out there and show off your passion for the industry.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with statistical techniques, programming languages like Python, and any projects you've worked on that relate to trading strategies. We want to see your expertise shine!
✨Tip Number 3
Showcase your problem-solving abilities! During interviews, be prepared to tackle case studies or hypothetical scenarios. Think aloud as you work through problems to demonstrate your analytical thought process and how you approach complex challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows your enthusiasm for joining our team and contributing to our innovative trading environment.
We think you need these skills to ace Quantitative Researcher - Global Market Maker in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your advanced academic background and any relevant experience in quantitative research. We want to see how your skills in mathematics, statistics, or programming can contribute to our team!
Be Specific About Your Experience:When detailing your past roles, focus on specific projects where you’ve used statistical techniques or developed trading strategies. We love seeing concrete examples of how you've made an impact in a data-driven environment.
Communicate Clearly:Your application should reflect your excellent communication skills. We appreciate candidates who can convey complex concepts clearly, so don’t shy away from explaining your thought process and findings in a straightforward manner.
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 ensures you’re considered for this exciting opportunity with our team!
How to prepare for a job interview at Anson McCade
✨Know Your Numbers
Brush up on your statistical knowledge and be ready to discuss concepts like time-series analysis and machine learning. Prepare to explain how you've applied these techniques in past projects, as this will show your practical understanding of the role.
✨Showcase Your Coding Skills
Since programming is key for this position, make sure you can demonstrate your proficiency in Python. Be prepared to talk about specific algorithms you've developed or optimised, and if possible, bring examples of your code to discuss during the interview.
✨Research the Company
Understand the company’s trading strategies and market-making approach. Familiarise yourself with their core values of winning, integrity, and continuous learning, and think about how your own experiences align with these principles.
✨Prepare for Problem-Solving Questions
Expect to tackle complex quantitative problems during the interview. Practice articulating your thought process clearly, as communication is crucial. Use examples from your experience to illustrate how you've approached similar challenges in the past.
