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About the position
Join Barclays as a Quantitative Analytics Prime Services, 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, the role responsibilities include the maintenance and development of margin methodologies for a range of financial products and models and analytics to monitor existing client exposure. The purpose of the role is to provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities.
Responsibilities
- 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 through 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
- Master's or PhD in a quantitative field (Mathematics/Physics/Computer Science/Engineering/Statistics/Data Science) with statistics knowledge.
- Extensive working knowledge of Python and familiarity with object-oriented programming.
- Excellent verbal and written communication skills in English; ability to explain complicated concepts in a simple, non-technical way.
Nice-to-haves
- 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).
Benefits
- Minimum Salary: $125,000
- Maximum Salary: $175,000
