Quantitative Analyst - Corporate Equity Derivatives, Vice President

Introduction:

Are you a talented Quantitative Analyst with a passion for financial markets? Citigroup's Markets Quantitative Analysis (MQA) group is seeking exceptional individuals to join our Corporate Equity Derivatives Quant team in London. This role offers a unique opportunity to contribute to cutting-edge quantitative modelling, collaborate with leading traders and professionals, and enhance your expertise in a dynamic and challenging environment.

Team/Role Overview:

The MQA Corporate Equity Derivatives team plays a critical role in supporting the trading desks by providing advanced quantitative models and analytical tools. You will be part of a highly skilled team responsible for pricing complex structures, explaining P&L, analysing model behaviour, and developing innovative solutions to meet the evolving needs of the business. This role offers a unique opportunity to work on challenging problems and make a significant impact on the success of our trading operations.

What You'll Do:

• Provide daily quantitative support to Corporate Equity Derivatives trading desks globally, primarily in London.
• Assist with pricing new structures, explaining P&L, analysing model behaviour, and enhancing the existing quantitative framework.
• Develop and implement new pricing models and numerical methods in C++, adhering to high coding standards.
• Create Python tools for business applications, such as "what-if" scenarios, P&L explanations, and risk representations.
• Collaborate with Quant Developers on library design and implementation of scalable and efficient solutions.
• Prepare model documentation and work closely with the Model Validation Group.

What We'll Need From You:

• Experience in Corporate Equity Derivatives (e.g., Buy-backs pricing and risk management, Margin Loans, Dividend/Borrow cost protection) is preferred. Experience in Equity exotic modelling and PDE pricing is also valuable.
• Strong quantitative background, including Stochastic Calculus, Numerical Methods (Monte Carlo, PDE), Statistics, and academic pricing models.
• Proficiency in C++ and Python programming.
• PhD or Master's degree in quantitative finance or a related mathematical discipline.
• Strong teamwork skills and the ability to quickly learn and adapt to new systems and libraries.
• Meticulous approach to development, testing, and release processes in a production environment, as well as in documenting models.
• Excellent communication skills for effective interaction with internal teams (Trading, Sales, Technology, Model Validation).
• Ability to work effectively under pressure, meet deadlines, and deliver results.

What We Can Offer You:

• Deepen your expertise: Gain in-depth knowledge of financial services operations, particularly within Corporate Equity Derivatives.
• Continuous learning: Face new business challenges daily, enhancing your skills and driving your career forward.
• Competitive compensation and benefits: Receive a competitive base salary (reviewed annually), generous holiday allowance (starting at 27 days plus bank holidays and increasing with tenure), a discretionary annual performance-related bonus, private medical insurance, employee assistance program, pension plan, paid parental leave, special discounts, and access to extensive learning and development resources.
• Flexible work arrangements: Enjoy a business casual environment with a hybrid work model offering flexibility.
• Inclusive and supportive culture: Be part of a workplace where everyone feels comfortable and empowered to contribute their best.

If you are a highly motivated and skilled Quantitative Analyst seeking a challenging and rewarding opportunity in a leading financial institution, we encourage you to apply and discover the true extent of your capabilities.

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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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