Global Macro Research, Economics, PhD Fellowship, London

CompanyGoldman Sachs

LocationLondon, England, United Kingdom

Posted At1/12/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (44.0%).

Occupation Type

Business and related research professionals

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£41,700 (£21.38 per hour)

Standard minimum applies

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Description

Job Description

Global Investment Research

Global Investment Research (GIR) provides investment recommendations by generating fundamental research and analysis of companies, industries, markets and economies. GIR analysts, economists and strategists help our clients achieve superior returns through our creative, differentiated investment insights and ideas. Our clients include mutual funds, hedge funds and pension funds, among others.

This 10-week paid fellowship offers Economics or Finance PhD candidates an immersive opportunity to explore a career in Global Macro Research. Fellows will actively contribute to cutting-edge economic research, gaining hands-on experience, training, mentorship, and networking. The program is designed to enhance research skills, foster intellectual collaboration, and contribute to high-quality research outputs that shape investment strategies and influence economic policy.

Key Responsibilities

Working closely with a Senior Economist and team, Fellows will:

Engage in daily workflow and research processes within an economics research team.
Generate unique, thematic written research on macroeconomic trends and their impact on financial markets.

Develop and refine quantitative models to forecast economic indicators such as growth, inflation, and interest rates.

Interpret and comment on high-frequency economic data releases.

Build and maintain financial models relevant to macro-financial analysis.

Conduct rigorous data collection, cleaning, and analysis using advanced statistical software (e.g., Python, R, Stata, MATLAB, EViews).

Contribute to research projects and team publications, including drafting sections of reports.

Qualifications

Currently enrolled in a PhD program in Economics, Finance, or a closely related quantitative discipline.
Expected graduation date: before the end of 2027.
Demonstrated strong theoretical foundation in economics and exceptional quantitative analytical skills.
Advanced proficiency in statistical programming languages (e.g., Python, R, Stata, MATLAB, EViews) and experience with large datasets.
Proven capability for original and thought-provoking research.
Meticulous attention to detail and strong organizational skills.
Ability to work both autonomously and collaboratively in a fast-paced, dynamic research environment.

Strong interpersonal and communication skills, with the ability to convey complex economic concepts clearly and concisely to diverse audiences.

About Goldman Sachs

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic pr

otected by applicable law.