Asset Management - Quantitative Analyst - Artificial Intelligence & Machine Learning Focus
On-site · Shanghai, Shanghai, China
Job Summary
Asset Management Quantitative Analyst specializing in AI/ML/LLMs leads development and implementation of cutting-edge quantitative models for investment research, alpha generation, portfolio optimization, and risk management. Responsibilities include researching and deploying ML/deep learning models across equities, fixed income, commodities, and other asset classes; applying NLP and sentiment analysis to unstructured data; identifying new alpha signals and improving predictive accuracy; collaborating with portfolio managers, researchers, and engineers to deploy models in production and manage risk exposures; staying current with AI/ML advancements and presenting results to investment teams and senior stakeholders.
Required Qualifications
- Master’s or PhD in mathematics, statistics, computer science, physics, engineering or related quantitative field with asset pricing/econometrics exposure
- 3+ years in quantitative research/analysis in asset management/hedge funds/investment banking
- Proven expertise in ML, deep learning, and AI techniques; hands-on with LLMs/NLP in finance or textual data
- Strong coding and data analysis skills in Python (plus R/Matlab/SQL/SPARK)
- Experience with statistical modeling, time-series analysis, backtesting, and big data tools
- Knowledge of financial markets, asset pricing, portfolio theory, and risk management
- Excellent problem-solving, attention to detail, independence and collaboration
- Effective communication skills for technical concepts
- Regulatory licenses or qualifications required for asset management actions
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