GSMG Research Senior Associate​/Global Macro Quantitative Research

Associate – Global Macro Quantitative Research

We are seeking a Global Macro Quantitative Research Associate to join our Global Macro team in New York. In this research role, you will work closely with senior analysts and strategists to deliver data-driven investment insights, thematic research, and quantitative frameworks to institutional clients (such as asset managers, pension funds, and hedge funds). This is an analytical and writing-intensive role focused on the intersection of top-down global macroeconomics and systematic investment strategy.

• Quantitative and Fundamental Modeling (equity focus preferred):
  Develop, update, and maintain empirical models that explore the relationship between macroeconomic indicators (e.g., inflation, GDP growth, interest rates, liquidity) and global market performance (equities, sectors, and style factors a focus, but also FX, rates, credit, and commodities). Complement top-down macro relationships with bottom-up assessments.
• Research & Publication Support:
  Assist in drafting high-impact, client-ready research reports, weekly macro-equity publications, and thematic notes that articulate quantitative views on global markets.
• Data Infrastructure & Pipeline Management:
  Manage and enrich internal databases containing global macroeconomic indicators, fundamental equity data, and alternative datasets, ensuring high data integrity and seamless retrieval.
• Ad-Hoc Client Analytics:
  Run customized quantitative analyses and historical scenario stress-tests to respond directly to inquiries from institutional clients and internal trading desks.
• Data Visualization:
  Create clear, publication-quality charts, tables, and interactive dashboards to illustrate complex market trends and quantitative concepts for client presentations and research notes.

• Experience:
  
  3 to 5 years of professional experience in top-down macroeconomic analysis. Prior experience working with financial market data is an absolute prerequisite, with a deep understanding of the nuances of financial market time series (fixed income vs. equities).
• Quantitative:
  Must have 3-5 years of experience in a quantitative investment role.
• Asset Class & Regional Domain: A deep understanding of financial derivatives is highly desired. Specialized knowledge in at least one region and/or asset class is a plus, with a focus on Asia (covering equities, FX, and rates) preferred.
• Quantitative & Econometric Foundation:
  Advanced econometric skillset with a proven ability to select and apply appropriate statistical modeling techniques, simulation methods, and clustering techniques).
• Technical & Programming
  
  Skills:
  
  Strong programming capabilities with advanced proficiency in Python required for financial modeling and time-series analysis.
• Professional Drive &
  
  Collaboration:
  
  Highly motivated self-starter and proven team player with strong interpersonal skills, meticulous attention to detail, and the ability to perform exceptionally under pressure to meet tight weekly publication deadlines.
• Communication & Presentation:
  Outstanding written and verbal communication skills, with a proven ability to succinctly and clearly articulate complex macroeconomic and mathematical concepts to a diverse audience.
• Compliance &
  
  Risk Management:
  
  Dedicated to safeguarding the firm's reputation by demonstrating sound ethical judgment, adhering to corporate policies, securing/maintaining all applicable regulatory licenses, and supporting broader organizational initiatives (including the recruitment and training of junior analysts).
• Licenses:
  Must have the SIE, Series 63 and 7. If you do not have these, 180 days will be given to obtain them.

• Bachelor’s/University degree and Masters in Quantitative Finance

Research

Research Analysis

New York New York United States

$ - $

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• discretionary and formulaic incentive and retention awards
• planned time off (vacation)
• unplanned time off (sick leave)
• paid holidays

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