US Analyst – Firmwide Economic Scenarios

JPMorgan Chase & Co.; Greater London; On-site; GBP 42,000 - 70,000; Full time

Job summary

JPMorgan Chase & Co. in London is seeking an Analyst to support macroeconomic forecast execution and scenario design across global indicators. You will interact with senior leaders and partner teams, contributing to forecasting tools and automated workflows using AI techniques.

The role offers broad exposure to the Firm and opportunities to develop analytical and leadership skills. The position emphasizes collaboration with Economics, Strategy Research, Risk and Finance, and requires strong

Qualifications

• Bachelor's degree in Economics, Econometrics, Quantitative Finance, or related field.
• Some work experience in research, forecasting or analytics at a financial institution, central bank, consultancy or similar.
• Familiarity with Excel skills and experience with Python or R, with a focus on data processing and analysis.
• Familiarity with generative AI tools and practical experience applying them to analysis and productivity.
• Improvement-minded: proactively identifies inefficiencies and helps build and implement scalable solutions.
• Detail-oriented and clear communicator: distills complex data into clear conclusions for senior audiences.
• Self-starter, with an ability to multitask in a fast-paced environment.
• Works well individually and in teams, shares information, supports colleagues, and encourages participation.

Responsibilities

• Support the execution of macroeconomic forecasts that make up each scenario, in partnership with JPM Economics and Strategy Research and with the Risk and Finance teams that use them.
• Track economic data releases and market developments, and prepare clear, concise commentary; identify emerging risks and assess their implications for forecasts and scenario design.
• Conduct ad hoc analysis and economic research in response to stakeholder questions.
• Prepare executive-level presentations for senior management and internal stakeholders.
• Work with quantitative model development teams to build and enhance forecasting methodologies.
• Support the team's automation and transformation efforts by streamlining manual processes and applying generative AI tools to improve efficiency, consistency and control.
• Support the seamless delivery of scenarios to downstream users across the Firm
• Manage multiple workstreams, stakeholder queries and ad hoc requests, delivering accurate work on agreed timelines.

Skills

Quantitative analysis

Excel

Python/R

AI tools

Communication

Multitasking

Education

Bachelor's degree in Economics

Tools

Python

R

SQL

Job description

The Team:

The Firmwide Economic Scenarios team within the Office of the Chief Financial Officer develops and distributes the macroeconomic scenarios that underpin the Firm's forecasting processes, including financial planning, stress testing and credit loss estimation.

Our scenarios span a range of economic backdrops, from baseline to severely adverse, and cover U.S. and global macroeconomic indicators, interest rates, equities, foreign exchange and credit markets, as well as real estate markets.

We work closely with the Economics and Strategy Research teams, Risk, Finance and other corporate functions, and our output is used by businesses across the Firm.

The Role:

As an Analyst, you will play a supportive role in the team’s scenario design and forecast production. You will have the opportunity to directly execute forecasts for macroeconomic variables and interact with senior leaders and partner teams, and you will play an active part in improving the team’s tools and workflows. The role offers broad exposure across the Firm and a strong platform to build analytical and leadership skills.

Job Responsibilities:

• Support the execution of macroeconomic forecasts that make up each scenario, in partnership with JPM Economics and Strategy Research and with the Risk and Finance teams that use them.
• Track economic data releases and market developments, and prepare clear, concise commentary; identify emerging risks and assess their implications for forecasts and scenario design.
• Conduct ad hoc analysis and economic research in response to stakeholder questions.
• Prepare executive-level presentations for senior management and internal stakeholders.
• Work with quantitative model development teams to build and enhance forecasting methodologies.
• Support the team's automation and transformation efforts by streamlining manual processes and applying generative AI tools to improve efficiency, consistency and control.
• Support the seamless delivery of scenarios to downstream users across the Firm
• Manage multiple workstreams, stakeholder queries and ad hoc requests, delivering accurate work on agreed timelines.

Required Qualifications, Skills, and Capabilities:

• Strong quantitative skills: Bachelor's degree in Economics, Econometrics, Quantitative Finance, or related field.
• Some work experience in research, forecasting or analytics at a financial institution, central bank, consultancy or similar.
• Familiarity with Excel skills and experience with Python or R, with a focus on data processing and analysis.
• Familiarity with generative AI tools and practical experience applying them to analysis and productivity.
• Improvement-minded: proactively identifies inefficiencies and helps build and implement scalable solutions.
• Detail-oriented and clear communicator: distills complex data into clear conclusions for senior audiences.
• 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 for CCAR, and / or CECL.
• Experience forecasting or analyzing macroeconomic and financial variables using econometric or statistical methods.
• Hands-on experience contributing to building automated workflows or AI-enabled tools (e.g., Python, data pipelines, LLM-based solutions).