Quantitative Researcher - Execution Services
at Millennium
Posted 19 hours ago
No clicks
- Compensation
- Not specified
- City
- Not specified
- Country
- Not specified
Currency: Not specified
The Quantitative Researcher will develop and validate alpha models to support internal liquidity and market-making activities, focusing on return and toxicity forecasting for large equity blocks. Responsibilities include signal evaluation, feature engineering, combining signals into usable alphas, and robust estimation of metrics like correlation, decay, turnover, and risk. The role demands strong statistical rigor to avoid overfitting and close collaboration with platform engineers and business stakeholders to shape platform architecture and deployment.
The Central Liquidity Strategies (CLS) business manages a number of portfolios and products designed to optimize the firm’s trading and execution approach by providing internal liquidity solutions for portfolio managers on both a risk and agency basis.
We are seeking an Alpha Researcher with experience in return / toxicity forecasting as it relates to market-making business offering pricing on larger blocks of equities either via outright risk pricing or other product structures.
Principal Responsibilities
- 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.
Qualifications/Skills Required
- 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.
