Competitive
London, England
Permanent, Variable

Senior Quantitative Research Analyst

Posted by Insite Public Practice Recruitment Limited.

Senior Quantitative Research Analyst

Algorithmic Trading Firm - London Hybrid working

A leading algorithmic trading and investment management firm is seeking a talented Senior Quantitative Research Analyst to join their team of exceptional professionals. In this pivotal role, you will contribute to the development and implementation of cutting-edge trading strategies, leveraging advanced statistical methods and market insights.

Senior Quantitative Research Analyst Key Responsibilities:

  • Conduct in-depth research and analysis to identify trading opportunities across various asset classes and markets, utilizing large data sets and advanced quantitative techniques.
  • Develop and implement innovative trading strategies within the firm's sophisticated automated trading framework, ensuring seamless integration and optimal performance.
  • Gain a deep understanding of market structure, trading dynamics, and regulatory environments across multiple exchanges and asset classes, leveraging this knowledge to enhance strategy development.
  • Collaborate with cross-functional teams, including traders, developers, and risk managers, to ensure the successful deployment and ongoing monitoring of trading strategies.
  • Continuously refine and optimize existing strategies, incorporating market feedback and performance data to enhance profitability and risk management.
  • Stay abreast of the latest advancements in quantitative finance, machine learning, and algorithmic trading, identifying opportunities to integrate new techniques and methodologies.
  • Contribute to the firm's research initiatives by presenting findings, authoring technical papers, and participating in industry conferences and events.

Senior Quantitative Research Analyst Qualifications and Requirements:

  • Advanced degree in a quantitative field such as Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science, or Physics.
  • Extensive programming experience with languages such as C++, Java, Python, or similar.
  • Proven track record in developing and implementing successful systematic trading strategies.
  • Strong analytical and problem-solving skills, with the ability to navigate and derive insights from large and complex data sets.
  • Excellent communication and collaboration skills, enabling effective teamwork and knowledge-sharing across multiple regions.
  • Ability to thrive in a fast-paced, dynamic environment and adapt to rapidly changing market conditions.
  • Proficiency in quantitative finance, statistical modeling, and machine learning techniques is highly desirable.

This exciting opportunity offers the chance to work at the forefront of algorithmic trading and quantitative finance, contributing to cutting-edge research and strategy development within a renowned financial institution. Competitive compensation and benefits packages are offered to exceptional candidates.