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Neuberger Berman

Independent, employee-owned investment management

Junior Quantitative Researcher - Commodities, Cross Asset

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Have 3–5 years of relevant experience researching signals across commodity and cross-asset markets.
  • Have strong proficiency in R or Python and be able to work comfortably with large financial datasets.
  • Have a solid grounding in statistical and mathematical modelling, with the judgment to choose the right tool for the problem.
  • Understand portfolio construction, optimization, and risk analysis.
  • Be comfortable reading academic literature and translating it into testable ideas.
  • Use AI tools fluently in research and coding and verify their outputs.
  • Have a strong academic record and a degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, Engineering, or Economics, from a leading university.
  • Have intellectual curiosity and a genuine interest in markets and the forces that drive them, not only in methods.
  • Take a hands-on, rigorous approach and follow an idea from intuition through testing to implementation.
  • Use written and spoken English fluently and be able to present work to institutional clients and defend it effectively.
  • Be highly organized and able to manage multiple research threads in parallel.
  • Be collaborative and comfortable working closely with portfolio managers, researchers, and clients.
  • Be authorized to work in the country where the role is located without current or future sponsorship.

Responsibilities

  • Generate, research, and test signals across commodity and cross-asset markets.
  • Design and evaluate signals using rigorous statistical and quantitative methods.
  • Contribute to portfolio construction and risk analysis across the team's strategies.
  • Monitor live performance and translate observations into new research hypotheses.
  • Produce client-facing content, including quarterly letters, white papers, blog posts, and webinars.
  • Support due diligence and consultant requests, where the research is subject to the highest level of scrutiny.
  • Collaborate with portfolio managers and researchers across Neuberger and contribute to the broader research agenda.

Desired Qualifications

  • Have familiarity with transaction costs and their impact on signal design.
  • Have experience in systematic trading.
  • A PhD or Master's degree is advantageous.

About the Company

Neuberger Berman

Independent, employee-owned investment management

Neuberger Berman is a private, independent, employee-owned investment management firm that manages a broad range of assets for institutions, advisors, and individuals worldwide, including equities, fixed income, private equity, and hedge funds. Its products work by actively managing client assets across multiple strategies, earning revenue from management and performance-based fees. The firm emphasizes a hybrid network model with in-house professionals and a broad advisor network, and it operates a notable private equity platform with co-investment capabilities. ESG principles are integrated into its investment approach. The company differentiates itself through its employee-ownership alignment, long-term investment perspective, a sizeable private equity/co-investment program, and a global network. Its goal is to grow client assets and outcomes by aligning the firm’s interests with those of its clients and expanding its investment offerings through partnerships and acquisitions.

Company size
Not listed
Company stage
Not listed
Total funding
$13.1B
Headquarters
New York City, New York
Founded
1939

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