Company Name: Anson McCade Recruitment
Job Role: Quantitative Researcher
Qualifications: Bachelor’s
Category: IT Jobs
Job Type: Full Time
Location: London
A leading global investment manager specializing in quantitative and systematic investment strategies is seeking a Quantitative Researcher with 1 to 3 years of experience. The firm aims to generate consistent, uncorrelated returns through a diversified portfolio of research-driven trading strategies. It combines expertise in trading, technology, and operations, building its success on rigorous scientific research and continuous innovation. The organization develops and maintains its proprietary technology stack, including high-performance trading systems and large-scale data platforms, and fosters a collaborative culture across major financial centers worldwide.
Role Responsibilities
- Conduct thorough quantitative research to discover and validate alpha opportunities in global equity markets.
- Manage the entire research lifecycle, which includes generating signals, analyzing data, developing strategies, backtesting, optimizing, and deploying strategies into production.
- Identify, evaluate, and incorporate new datasets to enhance predictive models and improve stock return forecasts.
- Oversee, maintain, and optimize live trading strategies to ensure they perform robustly in a production environment.
- Work collaboratively with researchers, traders, and engineers to refine existing models and create new systematic investment strategies.
- Evaluate strategy performance and contribute to the ongoing enhancement of the firm’s research and trading framework.
Requirements
- A Master’s degree or PhD in a quantitative field such as Physics, Engineering, Statistics, Applied Mathematics, Quantitative Finance, or a similar discipline with a strong statistical background.
- Proficient programming skills in Python, capable of developing efficient and scalable research tools.
- A solid grasp of applied statistics, linear algebra, and time series analysis.
- Experience handling large and complex datasets, including data cleaning, transformation, and analysis.
- Familiarity with financial markets and a keen interest in quantitative investing and trading strategies.
- A self-driven individual who takes initiative on projects and achieves results with minimal oversight.
- A strong team player who can effectively collaborate while also conducting independent research.
Degree Requirement: Bachelor’s
Visa Sponsorship Promising
