Description
We are seeking a Quantitative Researcher to join our Central Liquidity Strategies (CLS) team within Execution Services. As a Quantitative Researcher, you will be responsible for researching, improving, and implementing market-impact models across equities and other asset classes.
Responsibilities:
- Research, improve, and implement market-impact models across equities and other asset classes, drawing on current academic research and practical market experience
- Estimate market impact using real-world data, addressing data biases, endogeneity, causal inference, and model robustness
- Develop and enhance research, model-fitting, and analytics frameworks to support experimentation and model calibration
- Partner with trading and engineering stakeholders to integrate models into the portfolio construction process
- Communicate research findings, assumptions, and limitations clearly, translating business goals into quantitative research deliverables
Requirements:
- A master’s or PhD in Physics, Mathematics, Operations Research, Statistics, Finance, Economics, Econometrics, Financial Engineering, Econophysics, or a related discipline
- Experience in quantitative research or quantitative trading, with a significant focus on market-impact research or market microstructure
- Significant experience analyzing real-world datasets and estimating market impact in practical settings
- Strong knowledge of relevant academic research and the challenges of data bias, endogeneity, causal inference, and robustness
- Excellent analytical and quantitative skills
- Proficiency in Python and kdb+/q
- Strong communication and collaboration skills, with the ability to explain research outputs and limitations and align research with business objectives