Quantitative Analyst - Capital Analytics

Citi; City Of London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A global financial institution in London seeks a skilled Quantitative Analyst to contribute to capital analytics. The role involves developing models for capital requirements and requires expertise in C++ and Python. Ideal candidates will have a MSc or PhD in a quantitative field and experience in quantitative modeling within finance.

Benefits

Career growth opportunities

Dynamic working environment

Collaborative team culture

Qualifications

• Relevant experience in a quantitative modeling or analytics role, ideally in finance.
• Excellent technical skills in C++ and/or Python.
• Strong understanding of financial products and quantitative methods.

Responsibilities

• Create and support cross-asset quantitative analytics for capital requirements.
• Develop pricing models using financial mathematics and numerical techniques.
• Collaborate closely with trading desks and control functions.

Skills

C++ programming

Python programming

Quantitative modeling

Financial product knowledge

Communication skills

Education

MSc or PhD in a relevant quantitative subject

Job description

Quantitative Analyst - Capital Analytics

Organisation Citi

Locations: London, UK

Application Deadline: 27 days remaining

Job Overview

Are you a highly skilled Quantitative Analyst seeking a challenging role at the heart of a global financial institution? Citi's Capital Analytics Quant team, part of the Front Office Quantitative Analytics (MQA) group in London, is looking for a talented individual to join its ranks. This role offers a unique opportunity to contribute to the development and support of critical cross-asset quantitative analytics related to capital requirements for the Markets Front Office.

Team/Role Overview

The Capital Analytics Quant team within MQA plays a pivotal role in ensuring Citi's compliance with capital regulations (e.g., SACCR, Resolution) by developing sophisticated quantitative models and tools. You will be part of a dynamic and collaborative environment, working at the intersection of advanced financial mathematics, computer science, and regulatory requirements. This position offers significant exposure to various financial products and close collaboration with trading desks, structurers, and control functions across the firm.

What You\'ll Do

• 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.

What We\'ll Need From You

• Relevant experience in a comparable quantitative modeling or analytics role, ideally in 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.

What We Can Offer You

• Impactful Role: Contribute to critical regulatory initiatives related to capital requirements (e.g., SACCR, SACCR and 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.