Quantitative Researcher - Execution Services
- Modelling: Design and develop models to assist in alpha generation. Areas include:
- Automated evaluation of signal performance over time and feature engineering techniques to drive improvements.
- Combination of multiple signals to produce a single useable alpha for different contexts and attribution of performance.
- Robust estimation of key metrics such as signal correlations, decay, turnover and risk.
- Rigorous Grounding: Given inherent complexity and high dimensionality, employ methods to avoid overfitting and poor OOS performance based on sound statistical reasoning.
- Collaboration: Work with team members to decide the overall direction, design, and architecture of the platform, and collaborate with key stakeholders across the business.
- Required Experience: 5+ years of experience in Quantitative Finance setting, with a proven track record of developing robust alpha models, preferably in an Equities context.
- Education: PhD or Master's degree in Statistics, or a related field with an excellent understanding of the theory behind statistical and machine learning methods.
- Technical Skills: Proficiency in Python and/or KDB, preferably both.
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