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Quantitative Researcher

2 months ago

London, United Kingdom Fortis Recruitment Full time

A leading Hedge Fund specialising in quantitative trading strategies is looking to hire a Senior Quant Researcher to join their world class research team in London / HK / Singapore / Zurich or Dubai.


You will be responsible for developing and implementing quantitative models, conducting extensive data analysis, and contributing to the overall strategy development process.


This role requires a deep understanding of financial markets, strong programming skills, and the ability to work collaboratively in a fast-paced environment.


Role and Responsibilities:


  • Develop and implement quantitative trading strategies using statistical and machine learning techniques.
  • Conduct extensive data analysis to identify market trends and opportunities.
  • Collaborate with other researchers and traders to enhance existing models and strategies.
  • Utilize advanced programming skills to build and optimize trading algorithms.
  • Perform back-testing and validation of models to ensure robustness and reliability.
  • Stay updated with the latest research and advancements in quantitative finance and technology.
  • Present findings and recommendations to senior management and investment committees.


Skills and Qualifications:


  • Advanced degree (PhD or Master’s) in Mathematics, Statistics, Computer Science, Engineering, Finance, or a related field.
  • Minimum of 5 years of experience in quantitative research or a similar role within a financial institution.
  • Proficiency in programming languages such as Python, R, C++, or Java.
  • Strong analytical and problem-solving skills with a deep understanding of statistical and machine learning methods.
  • Experience with large datasets and time-series analysis.


The offer:


  • Competitive salary and performance-based bonuses.
  • Comprehensive benefits package
  • Opportunity to work with a talented and passionate team of professionals.
  • Access to cutting-edge technology and resources for research and development.
  • Dynamic and collaborative work environment.