Head of Traded Risk Models

You will be responsible for participating in the development and maintenance of regulatory and internal risk models such as IMM, VaR, IRC, CRM, and Regulatory CVA. Your tasks will include theoretical modeling, empirical testing, historical back-testing, statistical analysis of market data, numerical implementations, model documentation, supporting risk applications, and providing analytical assistance to Risk Managers. In addition, you will be managing a local team to ensure smooth integration and strong cross-regional engagement with global teams. Your key accountabilities will involve applying cutting-edge quantitative risk methodologies to enhance Market and Counterparty credit risk monitoring, developing computational methods and mathematical models, researching and implementing quantitative solutions for financial product pricing and risk management, performing computations and assessing numerical implementations, validating pricing models, implementing analytics models within Python library, building optimization tools, defining data requirements, and collaborating effectively with colleagues across different time zones. You must possess strong communication and presentation skills to effectively engage with stakeholders and colleagues. Your decision-making and problem-solving abilities will be crucial in evaluating alternatives, making decisions about the best approach, and achieving consensus. As a quantitative analyst, you will need to be a strong leader, excellent communicator, team player, and creative thinker. Essential qualifications for this role include a Masters degree, PhD, or foreign equivalents in Mathematics, Computer Science, Physics, Statistics, or a related quantitative field, along with 7-10 years of experience in a financial quantitative analyst or financial software developer/engineer role. Desirable skills include experience in counterparty/market risk development, knowledge of financial products, analytic skills, programming skills, and familiarity with VaR-type models, statistics, and pricing models. Your main purpose will be to design, develop, implement, and support mathematical, statistical, and machine learning models and analytics for business decision-making. Collaborating with technology, developing high-performing analytics solutions, implementing models, providing ongoing support, and ensuring compliance with risk management policies are some of the key responsibilities associated with this role. As a Director, you will manage a business function, contribute to strategic initiatives, lead a team, provide expert advice, manage resourcing and budgeting, escalate policy breaches, ensure compliance, and focus on external relationships. Your leadership behaviors will be crucial in creating an environment for colleagues to excel, following the LEAD principles of Listening, Energizing, Aligning, and Developing others. Demonstrating Barclays Values and Mindset will also be expected from all team members.,