JPMorgan Chase

JPMorgan Chase is seeking an Applied AI ML Researcher Senior Associate to build next-generation autonomous agents for the financial industry. This role focuses on developing GenAI and Agentic solutions to automate complex operational processes, deliver collaborative agents that orchestrate workflows, and contribute to the production deployment of AI/ML solutions.

Research Scientist role focused on applying sophisticated machine learning methods, particularly NLP and LLMs, to real-world problems within a financial services context. The role involves developing state-of-the-art models, publishing research, and collaborating to deploy solutions into production. It emphasizes both research exploration and practical application, with a focus on post-training and potentially agentic systems.

This role focuses on applying advanced ML methods like time series analysis, reinforcement learning, causal inference, and NLP to solve real-world problems in finance. The associate will research new methods, develop state-of-the-art models, collaborate with various teams to deploy solutions, and drive firm-wide initiatives. A PhD in a quantitative discipline and hands-on experience with ML toolkits are required, with a preference for candidates with financial industry knowledge and published research.

PhD-level Quant Researcher with 0-3 years of experience in machine learning, specializing in reinforcement learning, to develop alpha signals and portfolio construction methodologies for global equity markets. Responsibilities include data analysis, model enhancement, and integrating research into production systems.

Quantitative researcher for equity eTrading at JPMorgan Chase, focusing on developing and improving algorithmic execution strategies using advanced quantitative models and statistical analysis. The role involves analyzing large datasets, back-testing methodologies, and collaborating with various teams to deliver innovative trading solutions.

JPMorgan Chase is seeking a Quantitative Investment Analyst to join their Equity Portfolio Management team. The role involves combining fundamental equity analysis with quantitative and factor-based approaches, supporting risk modeling, portfolio construction, and quantitative research using Python/R. The candidate will also contribute to the application of AI/ML techniques to enhance investment research and portfolio management.

This role focuses on user research within a financial enterprise, with a secondary emphasis on exploring and evaluating AI tools for research operations. The primary function is to support and conduct user research, analyze data, and inform user experience design decisions. While AI tools are mentioned, the core of the role is traditional UX research, not AI model development or deployment.

This role focuses on user experience research within Cybersecurity Technology and Controls at JPMorgan Chase, aiming to shape product design by uncovering customer needs and behaviors. It involves designing and executing research studies, analyzing data using advanced methods, and mentoring junior researchers. While it mentions AI tooling as a preferred skill, the core function is user experience research, not AI model development.

Quantitative trading and research role focused on designing and implementing systematic trading strategies for FX, Rates, Commodities, and Credit markets, with an emphasis on market microstructure and high-frequency trading. Responsibilities include analyzing market data, generating signals, and collaborating with technology partners.

Quantitative Strategist role focused on cross-asset risk premia research, developing systematic strategies, and contributing to research publications within JPMorgan Chase's Global Research team. Requires a Master's or Ph.D. in a quantitative subject, strong Python coding skills, and knowledge of machine learning and big data.