Quantitative Analyst - Capital Analytics, AVP

Citigroup Inc.; London; On-site; GBP 75,000 - 95,000; Full time

Job summary

A global financial institution in London is looking for a skilled Quantitative Analyst to join its Capital Analytics Quant team. Responsibilities include developing cross-asset quantitative analytics and pricing models, primarily using Python and C++. The ideal candidate has a strong background in quantitative modeling and holds an MSc or PhD in a relevant field. This role offers career growth, collaboration with trading desks, and opportunities to work on critical regulatory initiatives.

Benefits

Career growth opportunities

Collaborative environment

Impactful role in regulatory initiatives

Qualifications

• 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.

Responsibilities

• Create, implement, and support cross-asset quantitative analytics related to capital requirements for Markets Front Office.
• Develop pricing models using advanced financial mathematics, statistics, and numerical techniques.
• Provide direct support and collaborate closely with trading desks and structurers.

Skills

Quantitative modeling

Programming in C++

Programming in Python

Financial product knowledge

Communication skills

Education

MSc or PhD in a relevant quantitative subject

Job description

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.

If you are a highly motivated Quantitative Analyst with a strong background in financial modeling and programming, eager to contribute to cutting-edge capital analytics, we encourage you to apply.

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Job Family Group:

Institutional Trading

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Job Family:

Quantitative Analysis

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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