Support the execution of macroeconomic forecasts that make up the scenarios, working closely with key forecasting partners and consumers of the scenarios. Monitor and prepare commentary on economic releases and events, monitor evolving risks, stay abreast of trends in economics and financial markets, and anticipate implications for macroeconomic forecasting and scenario design. Manage multiple project workstreams as well as inbound questions, deliverables, and ad-hoc requests, with an emphasis on accuracy and timeliness of meeting deliverables on prescribed timelines. Develop executive-level presentations for senior management and internal stakeholders. Interact with and guide quantitative model development teams for the development and enhancement of macroeconomic forecasting methodologies. Lead ad-hoc analysis and conduct economic research as needed. Required Qualifications, Skills, and Capabilities: Strong quantitative skills: Master’s or Bachelor's degree in Economics, Econometrics, Quantitative Finance, or related field. At least 1 years of relevant work experience in research/forecasting/business analytics for a leading financial institution/central bank/consulting firm or similar, with a strong background/interest in economics. Advanced Excel and Microsoft Office skills and experience with at least one programming language/statistical software (e.g., Python, R, E - Views, Excel VBA). Exceptionally detail-oriented with the ability to synthesize large amounts of data and various viewpoints, summarize key concepts, and clearly articulate relevant conclusions. Excellent organizational and communication (verbal and written) skills. A proven track record of executing against deliverables and meeting deadlines under pressure. Self-starter, with an ability to multitask in a fast-paced environment with frequently changing priorities. Works well individually and in teams, shares information, supports colleagues, and encourages participation. Preferred Qualifications, Skills, and Capabilities: Experience with scenario design in the context of CCAR, and/or CECL is a plus. Experience in forecasting, statistical analysis, or research on macroeconomic and/or financial variables would be considered a plus. Experience working with structural and semi-structural macroeconomic forecasting models (e.g., DSGE, FRB/ US, Ni. GEM), or other time-series econometric models is considered a plus. Experience working with machine learning, AI, or language models is considered a plus. PhD is considered a plus. To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).