
Quantitative Analyst - Capital Analytics
- London
- Permanent
- Full-time
- Create, implement, and support cross-asset quantitative analytics related to capital requirements for Markets Front Office, including SACCR and Resolution.
- Leverage a wide variety of mathematical and computer science methods and tools.
- Develop pricing models using advanced financial mathematics, statistics, probability, and numerical techniques such as Monte Carlo Methods and partial differential equation solvers.
- Implement solutions primarily using Python and C++ programming languages.
- Provide direct support and collaborate closely with trading desks and structurers.
- Work in close partnership with control functions to ensure appropriate governance and control infrastructure.
- Contribute to building a culture of responsible finance, good governance, supervision, expense discipline, and ethics.
- Appropriately assess risk/reward of transactions when making business decisions and ensure proper consideration for the firm’s reputation.
- Proven experience in a comparable quantitative modeling or analytics role, ideally within the financial sector.
- Excellent technical and programming skills in C++ and/or Python.
- Strong financial product knowledge and understanding of related quantitative methods.
- Consistently demonstrates clear and concise written and verbal communication skills.
- MSc or PhD degree in a relevant quantitative subject.
- Impactful Role: Contribute to critical regulatory initiatives related to capital requirements (e.g., SACCR, Resolution) in a front-office context.
- Technical Excellence: Work with advanced mathematical and computer science methods, including Monte Carlo and PDE solvers, using Python and C++.
- Collaboration: Support and collaborate directly with trading desks, structurers, and various control functions.
- Career Growth: Develop deep expertise in capital analytics, financial modeling, and regulatory frameworks within a leading global financial institution.
- Dynamic Environment: Be part of a highly skilled and collaborative MQA team in London.