Description
We are seeking a Rates Structuring AVP to join our team at Barclays. As a Rates Structuring AVP, you will provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain.
Responsibilities:
- Develop and implement quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets.
- Work closely with sales teams to identify clients' needs and develop customized solutions.
- Conduct in-depth research, data analysis, and statistical modeling to derive insights into market trends, pricing, and risk dynamics.
- Provide front office infrastructure support through ownership and maintenance of analytical libraries.
- Provide expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.
Assistant Vice President Expectations:
- Advise and influence decision making, contribute to policy development, and take responsibility for operational effectiveness.
- Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function.
- Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives, and determination of reward outcomes.
Requirements:
- Bachelor's or Master's degree in a quantitative or technical field (e.g., Finance, Mathematics, Engineering, Computer Science, Physics, or related discipline).
- Strong academic record demonstrating analytical and problem-solving capabilities.
- Relevant experience in financial markets (e.g., roles in structuring, trading, strategy/strats, quantitative analysis, or risk).
- Solid understanding of financial markets and instruments across Rates and FX.
- Proficiency in Python programming for data analysis and model prototyping.
- Strong quantitative and analytical skills, with the ability to apply mathematical/statistical techniques to real-world trading problems.
- Excellent communication and teamwork skills.
Desirable skillsets:
- Experience in building or using risk/PnL dashboards, data visualization tools, or front-end interfaces to support trading decision-making.
- Exposure to portfolio optimization, trade compression, or structured product lifecycle.
- Familiarity with trading systems, market data APIs, or general software engineering best practices.