Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us to design and develop cutting-edge trading strategies in global equity markets.
- Company: We're a dynamic multi-strat hedge fund focused on systematic equity efforts.
- Benefits: Enjoy a collaborative environment with opportunities for innovation and growth.
- Why this job: Make an impact by enhancing trading models and developing machine learning algorithms.
- Qualifications: 3+ years in systematic stat arb trading; MSc/PhD in a quantitative field required.
- Other info: Ideal for those passionate about data analysis and coding in Python/C++.
The predicted salary is between 48000 - 84000 £ per year.
Quantitative Researcher
£150,000 GBP
100,000
Onsite WORKING
Location: United Kingdom (Greater London) Type: Permanent
Role/Responsibilities:
- Perform rigorous and innovative research to discover systematic anomalies in equity markets
- End-to-end development: alpha idea generation, data processing, strategy backtesting, optimization, and production implementation
- Identify and evaluate new datasets for stock return predictions
- Maintain and improve the portfolio trading in the production environment
Requirements:
- MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics
- Demonstrated proficiency in Python
- Strong command of foundations of applied statistics, linear algebra, and time series models
- Ability to quickly and efficiently scrub, format, and manipulate large, raw data sources
- Knowledge of financial markets
- Highly motivated, willing to take ownership of his/her work
- Collaborative mindset with strong independent research ability
- Commitment to the highest ethical standards
Reference: QR/ NW/AHU/003
Postcode: LDN1
#alhu
Quantitative Researcher employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Make sure to showcase your hands-on experience in alpha research and data analysis during the interview. Be prepared to discuss specific projects where you've successfully developed systematic stat arb trading strategies.
✨Tip Number 2
Brush up on your knowledge of statistical models and signal generation techniques. You might be asked to solve problems or provide insights based on these concepts, so having a solid understanding will help you stand out.
✨Tip Number 3
Familiarize yourself with the latest trends in big data and machine learning algorithms. Being able to discuss how these can enhance trading strategies will demonstrate your forward-thinking approach and technical expertise.
✨Tip Number 4
Prepare to discuss your proficiency in Python and/or C++. Consider bringing examples of your coding work or projects that highlight your skills in back-testing and simulation, as this will show your practical abilities.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 3+ years of experience in developing systematic stat arb trading strategies. Provide specific examples of your work in alpha research, data analysis, and any relevant projects you've completed.
Showcase Technical Skills: Clearly outline your proficiency in Python and/or C++. Include any specific libraries or frameworks you have used for quantitative research and back-testing. Mention your experience with statistical models and signal generation.
Detail Your Educational Background: Mention your MSc/PhD from a top-tier university in a quantitative subject. Highlight any relevant coursework or research that aligns with the role, particularly in mathematics and statistics.
Tailor Your Application: Customize your CV and cover letter to reflect the specific requirements of the role. Use keywords from the job description, such as 'portfolio optimisation' and 'machine learning algorithms', to demonstrate your fit for the position.
How to prepare for a job interview at Anson McCade
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and C++. Highlight specific projects where you've developed systematic stat arb trading strategies, focusing on the coding techniques and algorithms you used.
✨Demonstrate Your Analytical Thinking
Expect questions that assess your ability to analyze data and generate alpha. Prepare examples of how you've approached data analysis in past roles, including any statistical models or machine learning algorithms you've implemented.
✨Discuss Portfolio Optimization
Since the role involves portfolio optimization, be ready to explain your understanding of this concept. Share any relevant experiences where you've enhanced existing trading models or optimized portfolios based on quantitative research.
✨Prepare for Case Studies
You might be presented with case studies or hypothetical scenarios during the interview. Practice articulating your thought process in developing trading strategies, backtesting them, and discussing potential outcomes based on your findings.
