Global proprietary trading firm operating across FX, fixed income, equities, and commodities
Gelber Group is a Chicago-headquartered proprietary trading firm founded in 1982, operating across foreign exchange, fixed income, equities, and commodities on major global exchanges. The tech stack—C#, Java, TypeScript, React, Python, Pandas, NumPy—combined with active projects around algorithmic strategy development and custom reporting frameworks, signals an engineering-driven approach to trading infrastructure. Hiring is heavily weighted toward finance (18 of 23 roles) at senior levels, with concurrent efforts to modernize legacy internal tools and expand into Brazilian derivatives markets.
Gelber Group is a privately held proprietary trading firm with over 200 employees across offices in Chicago, White Plains, New York, and Amsterdam. The firm trades across multiple asset classes on major U.S. and international exchanges, combining discretionary and algorithmic trading approaches. Current operational priorities include expanding trading operations into Brazil, modernizing internal reporting infrastructure, and developing new quantitative strategies. The organizational structure reflects a finance-led operation with targeted engineering and trading team growth.
C#, Java, TypeScript, React for application development; Python, Pandas, NumPy for quantitative work; Azure AD, Intune, Active Directory for infrastructure; Slack, Mimecast, Zscaler for communications and security.
Headquarters in Chicago, IL; offices in White Plains, NY, and Amsterdam. The firm trades on major U.S. and international exchanges across foreign exchange, fixed income, equities, and commodities, with active expansion into Brazilian derivatives markets.
Gelber Group LLC's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.