Quantitative Trading & Research – Credit Portfolio – Vice President

Quantitative Trading & Research (QTR) is an expert quantitative modelling group that partners with traders marketers and risk managers across products and regions promoting client interaction product innovation valuation and risk management inventory and portfolio optimization electronic trading and market making and financial risk controls.

We are seeking an experienced Vice President to join our QTR team in London where you will develop analytics for the Credit Portfolio Group (CPG) within the Markets division of the Commercial and Investment Bank. CPG manages the firms credit and funding valuation adjustments (CVA and FVA) which are critical to the banks risk management and pricing strategies and develops and maintains a large-scale Monte-Carlo engine using advanced numerical and computational techniques including Adjoint Analytic Differentiation (AAD).

As an experienced Vice Presidentin the Quantitative Trading & Research Credit Portfolio team you will contribute to our agenda to transform the investment bank into a data-promoten business promoting change through state-of-the-art AI and machine learning techniques.

Job Responsibilities:

• Design develop and enhance our large-scale Monte Carlo simulation engine used for computing Credit Valuation Adjustment (CVA) and Funding Valuation Adjustment (FVA) across the firms derivatives portfolio.
• Implement advanced numerical techniques to further improve computational efficiency and accuracy of risk sensitivities.
• Contribute to the firms strategic agenda of transforming the investment bank into a data-driven business through the development of scalable high-performance analytical tools and infrastructure.
• Collaborate with technology teams ensuring robustness performance and maintainability of code in a large-scale production environment.
• Partner closely with traders marketers and risk managers across all products and regions to deliver analytical solutions that meet business needs.
• Drive best practices in quantitative research software development and analytical rigor across the team.

Required qualifications capabilities and skills:

• Solid experience within a quantitative role in finance
• Degree in a quantitative field such as Computer Science Engineering Mathematics or Physics
• Demonstrate expert-level programming skills particularly in Python with experience leading development of large-scale production-grade systems and mentoring others in best coding practices.
• Proven ability to lead technical projects from conception through delivery including architecture decisions and stakeholder management
• Champion robust system and solution architecture ensuring rigorous testing verification and adherence to best practices in design and implementation across teams.
• Deep software engineering algorithm design and development skills with a commitment to robust testing verification and code quality standards
• Exceptional communication and influencing skills both verbal and written with a demonstrated ability to engage and advise senior partners and stakeholders on complex and technical topics with precision and clarity

Preferred qualifications capabilities and skills:

• Advanced degree (e.g. PhD) in Engineering Mathematics Physics or Computer Science
• Markets experience and familiarity with general trading concepts and terminology
• Knowledge of options pricing theory trading algorithms or financial regulations
• Experience with robust testing and verification practices