Global Investment Research, Macro Research, Commodities Research Analyst
Dallas, Texas, United States
Goldman Sachs
The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base.GLOBAL INVESTMENT RESEARCH
From macroeconomic forecasts to individual stock analysis, our team develops tools and insights to help shape investment strategies for clients and the firm. Our analysts work on client-focused research in the equity, fixed-income, currency, and commodities markets, mining big data that enters markets around the world each day to identify game-changing insights. You’ll be part of a team that is intellectually curious, creative, analytical, and passionate about performing market research.
JOB SUMMARY
We are seeking an analyst with strong programming skillsets and a keen interest in economics to join Energy Research team within Commodities Research. The Energy group focuses on developing forecasting models across energy markets - including demand, supply and prices - as well as framing the ongoing energy transition. As alternative data is becoming the new standard, an analyst will help us manage increasingly large and complex datasets and models.
SUMMARY OF RESPONSIBILITIES:
- Building and maintaining proprietary datasets used in modeling
- Developing bespoke statistical models to forecast supply, demand and price changes for energy commodities
- Performing fundamental research, modeling macroeconomic and microeconomic trends and events and their impact on the markets
- Writing reports about our research views and presenting them to internal and external clients, from corporates to investors
SKILLS AND EXPERIENCE WE'RE LOOKING FOR:
- Master’s degree in quantitative finance, economics, data engineering, statistics, computer science, or other quantitative field of study (Science, Technology, Engineering, and Math)
- Strong analytical background with advanced programming skills (Python highly preferred) and experience in econometrics/data science
- An enthusiastic researcher/model builder with a proven capability for original and differentiated research
- Strong economic intuition and interests in financial markets
- Strong interpersonal and communication skills (written and verbal) and an ability to interact with global stakeholders
- Ability to work in a team-based environment and adapt to a dynamic organization
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Big Data Computer Science Econometrics Economics Engineering Finance Market research Mathematics Python Research Statistics
Perks/benefits: Career development Team events Wellness
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