Job Description

Are you an enthusiastic and motivated Quantitative Analyst eager to operate at the intersection of markets, data, and technology? Citi's London Credit Quantitative Analysis team, part of the Markets Quantitative Analysis Division, is seeking a problem-solver who can translate quantitative insights into tangible value for our business. This is a front-line role on the trading floor, offering a unique opportunity to partner directly with traders in designing and implementing cutting-edge pricing models, risk analytics, and trading tools for credit products.

Team/Role Overview:

The London Credit Quantitative Analysis team is a dynamic and integral part of Citi's Markets Quantitative Analysis Division. Our mandate encompasses developing and enhancing the core analytics used across a wide range of multi-faceted projects, including algorithmic hedging, ETF trading, and pioneering AI/ML initiatives within the credit space. We thrive on strong communication, collaboration, and adaptability, valuing these as much as technical expertise. As a team member, you will directly support our business by transforming complex quantitative problems into practical solutions that drive revenue generation and operational efficiency.

What You'll Do:

Build and enhance models for pricing and managing risk across credit derivatives and cash products (including CDS, indices, tranches, and bespokes). Develop production-grade code in Python and C++ for use in our pricing and analytics platform. Help build real-world use cases to integrate new technologies within our pricing and algorithmic infrastructure, including the usage of Generative AI for revenue generation and automation. Work directly with traders to gain insights into risk and P&L, designing quantitative solutions that inform strategy and optimize trade execution. Calibrate and validate models using real-world and historical market data to ensure accuracy and robustness. Clearly communicate complex quantitative ideas to non-quant stakeholders across the trading floor, facilitating informed decision-making.

What We'll Need From You:

Solid academic background in a highly quantitative discipline (Master's or PhD degree in Financial Mathematics, Mathematics, Physics, Computer Science, Engineering, or Statistics). Strong technical skills with solid fundamentals in derivatives pricing theory, stochastic modelling, and statistical analysis. Proficiency in Python and/or C++ programming, with hands-on experience in manipulating and analysing numerical data. Hands-on experience in Machine Learning/Artificial Intelligence is a significant advantage. Curious, proactive, and comfortable thriving in a dynamic, fast-moving trading environment. Strong interpersonal skills and a collaborative mindset, essential for effective partnership on the trading floor.

What We Can Offer You:

Front-Line Impact:

Direct engagement with traders on the trading floor, influencing strategy and trade execution for credit products.

Cutting-Edge Technologies:

Opportunity to work on advanced projects including algorithmic hedging, ETF trading, and pioneering AI/ML initiatives, including Generative AI.

Technical Development:

Enhance your skills in Python and C++ development, model building, calibration, and validation in a production environment.

Market Exposure:

Thrive at the intersection of markets, data, and technology, gaining deep insights into credit derivatives and cash products.

Collaborative Environment:

Work within an enthusiastic team that values strong communication, collaboration, and adaptability.

Career Growth:

Develop expertise in a critical area of quantitative finance within a leading global financial institution.

If you are a driven Quantitative Analyst ready to apply your skills at the forefront of credit markets, transforming quantitative insight into business value, 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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