Asset Management Quantitative Analyst Artificial Intelligence & Machine Learning Focus

Shanghai - China

Monthly Salary: Not Disclosed

Posted on: 16 hours ago

Vacancies: 1 Vacancy

Job Summary

Description

As a Quantitative Analyst at China Asset Management with a focus on Artificial Intelligence (AI) machine learning (ML) and large language models (LLMs) you will drive the integration of advanced AI techniques into investment research and strategy development.

Job Summary

We are looking for a highly skilled Quantitative Analyst to develop and implement cutting-edge quantitative models that leverage AI machine learning and LLMs for investment research alpha generation portfolio optimization and risk management. The ideal candidate will have a strong background in applying these technologies to financial markets including sentiment analysis from unstructured data (e.g. news earnings calls social media) predictive modeling and strategy enhancement.

Key Responsibilities

Research and implement quantitative investment models using machine learning and deep learning techniques across equities fixed income commodities and other asset classes.
Apply advanced AI methods including large language models and natural language processing (NLP) to extract insights from textual data for sentiment analysis event detection and alternative data integration.
Conduct rigorous research to identify new alpha signals improve existing strategies and enhance predictive accuracy in investment decision-making.
Collaborate with portfolio managers research analysts and engineers to implement models in production optimize portfolios and manage risk exposures.
Stay current of the latest advancements in AI/ML/LLMs and their applications in investment research and management contributing to the firms innovation in investment strategies and capabilities.
Present research findings and model results to investment teams senior management and other stakeholders

Qualifications

A masters or PhD degree in a quantitative discipline such as mathematics statistics computer science physics or engineering and with exposures in asset pricing financial economics statistical analysis macroeconomics or econometrics and stochastic modeling and scenario analysis (CFA or equivalent)
3 years of experience in quantitative research or analysis within asset management hedge funds investment banking or a similar financial environment.
Proven expertise in machine learning deep learning and AI techniques with hands-on experience applying LLMs/NLP to financial or textual data.
Strong coding and data analysis skills are required. Python experience (additional experience in R or Matlab SQL SPARK and familiarity with large financial databases).
Experience with statistical modeling time-series analysis backtesting frameworks and big data tools.
Knowledge of financial markets asset pricing portfolio theory and risk management.
Excellent problem-solving abilities attention to detail and the capacity to work independently as well as in a collaborative team environment.
Strong and effective communication skills (both verbal and written) especially for explaining complex quantitative concepts to non-technical stakeholders.
Attainment of all necessary regulatory licenses (or any other licenses / qualifications as required) for carrying out Asset Management and other regulated activities

Preferred Skills

Experience with generative AI diffusion models or agentic workflows in finance.
Familiarity with alternative data sources and their integration into investment processes and strategies.
Track record of developing profitable trading signals or models using ML/LLM techniques.

Required Experience:

DescriptionAs a Quantitative Analyst at China Asset Management with a focus on Artificial Intelligence (AI) machine learning (ML) and large language models (LLMs) you will drive the integration of advanced AI techniques into investment research and strategy development.Job SummaryWe are looking for ...

Description

Job Summary

Key Responsibilities

Research and implement quantitative investment models using machine learning and deep learning techniques across equities fixed income commodities and other asset classes.
Apply advanced AI methods including large language models and natural language processing (NLP) to extract insights from textual data for sentiment analysis event detection and alternative data integration.
Conduct rigorous research to identify new alpha signals improve existing strategies and enhance predictive accuracy in investment decision-making.
Collaborate with portfolio managers research analysts and engineers to implement models in production optimize portfolios and manage risk exposures.
Stay current of the latest advancements in AI/ML/LLMs and their applications in investment research and management contributing to the firms innovation in investment strategies and capabilities.
Present research findings and model results to investment teams senior management and other stakeholders

Qualifications

A masters or PhD degree in a quantitative discipline such as mathematics statistics computer science physics or engineering and with exposures in asset pricing financial economics statistical analysis macroeconomics or econometrics and stochastic modeling and scenario analysis (CFA or equivalent)
3 years of experience in quantitative research or analysis within asset management hedge funds investment banking or a similar financial environment.
Proven expertise in machine learning deep learning and AI techniques with hands-on experience applying LLMs/NLP to financial or textual data.
Strong coding and data analysis skills are required. Python experience (additional experience in R or Matlab SQL SPARK and familiarity with large financial databases).
Experience with statistical modeling time-series analysis backtesting frameworks and big data tools.
Knowledge of financial markets asset pricing portfolio theory and risk management.
Excellent problem-solving abilities attention to detail and the capacity to work independently as well as in a collaborative team environment.
Strong and effective communication skills (both verbal and written) especially for explaining complex quantitative concepts to non-technical stakeholders.
Attainment of all necessary regulatory licenses (or any other licenses / qualifications as required) for carrying out Asset Management and other regulated activities

Preferred Skills

Experience with generative AI diffusion models or agentic workflows in finance.
Familiarity with alternative data sources and their integration into investment processes and strategies.
Track record of developing profitable trading signals or models using ML/LLM techniques.

Required Experience:

Key Skills

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GIS
ICD Coding
Intelligence Experience
Military Experience
Analysis Skills
Microsoft Powerpoint
Joint Operations
Intelligence Analysis
Leadership Experience
Writing Skills

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About Company

JPMorganChase

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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