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Barclays Logo Barclays · Finance

Quantitative Analytics Liquid Financing VP

United States, New York 150000.00 - 225000.00 USD / Year · Job Posted February 04, 2026
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Job Description

Join Barclays as a Quantitative Analytics Liquid Financing VP, where you will be focusing on Risk and Margin methodologies. The Prime Risk team, which sets and monitors client margin and risk, is the main stakeholder. Beyond responding to day-to-day business inquiries, your responsibilities will include the maintenance and development of margin methodologies for a range of financial products and models/analytics to monitor existing client exposure.

Job Responsibility

  • Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets
  • Working closely with sales teams to identify clients' needs and develop customised solutions
  • In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics
  • Provide front office infrastructure support though ownership and maintenance of analytical libraries
  • Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment

Requirements

  • Familiarity with either Equity or Fixed Income Products
  • Extensive working knowledge of Python and familiarity with object-oriented programming
  • Excellent verbal and written communication skills with the ability to explain complicated concepts in a simple, non-technical way

Nice to have

  • Working knowledge of intraday patterns and order books
  • Familiarity with the Delta 1 Business
  • Knowledge of financial products relevant to the prime business, e.g. repo, margin loans, and futures. Knowledge of margin methodologies a plus
  • Experience with cross-platform / cross-technology development (Windows/Linux), CI/CD, and workflow automation (AWS, Kubernetes)
  • Experience with data visualization tools, interface and libraries (e.g. Jupyter, Dash, Rest API)
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