Job Description

As a Quantitative Analyst with an Artificial Intelligence/Machine Learning (AI/ML) focus in the Prime Intelligence team, you will be a key contributor within Citi's Prime Services business. The Prime Intelligence team is responsible for designing and developing client, trading, and PnL intelligence and tools. You will play a pivotal role in evolving our Prime Intelligence platform, which provides Sales and Trading access to P&L analytics, book and portfolio colour, and risk metrics across trading books and clients.


This role offers an exciting opportunity to build out the next generation of AI/ML-powered analytics across Prime Brokerage, Delta 1, and Futures and Clearing. You will leverage your strong quantitative skills and machine learning/Generative AI experience to develop innovative solutions that drive business insights and client engagement.

Responsibilities:

Design, develop, and implement advanced AI/ML models for quantitative analysis specifically within Prime Brokerage, Delta 1, and Futures and Clearing. Conduct Factor & Correlation Analysis to uncover underlying factors influencing profitability and determine relationships between metrics and benchmarks. Develop robust Trend Identification models to analyse key metrics, understand evolving trends, and provide actionable insights (e.g., input to pricing, axes). Implement Outlier Detection algorithms to pinpoint unusual data points, enabling investigation of potential risks or opportunities, and build Scenario Planning tools to model the incremental impact of client activities and market movements on key metrics. Collaborate closely with Sales, Trading, Technology, and Market Quantitative Analysis (MQA) teams to translate business requirements into technical solutions and contribute to the ongoing development and enhancement of Citi's proprietary PB Data Product for Hedge Fund Clients. Communicate complex analytical findings and model results clearly and concisely to both technical and non-technical stakeholders, including clients, alongside Sales, and ensure the integrity, accuracy, and performance of all developed analytical tools and mode

Qualifications:

Bachelor's or Master's degree (preferred) in a quantitative field such as Computer Science, ML, AI, Statistics, Mathematics, or Financial Engineering. Should have hand on experience in quantitative analysis, data science, or machine learning, preferably within the financial services industry and ideally within Equities Prime Finance. Demonstrated experience applying AI/ML techniques to complex business problems, focusing on time series analysis, anomaly detection, forecasting, or Natural Language Processing (NLP). Strong proficiency in Python/R and expertise with AI/ML libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Solid understanding of statistical modelling, econometric techniques, data manipulation, and experience with large datasets/distributed computing; familiarity with Generative AI is a plus. Excellent problem-solving, analytical, critical thinking, and strong communication skills to explain complex concepts; ability to work effectively in a dynamic, collaborative team with strong organizational skills and attention to detail.

What We Offer:

By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world


This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.


Candidates applying for this role must be aware that it is a Certified Role, subject to the FCA and PRA Certification Regime.


The Certification Regime is one element of the Individual Accountability Regime which came into effect on 7 March 2016.


Under the Certification Regime, Citi UK regulated entities (Citi entities) must ensure that employees working in certain roles categorised as specified significant harm functions (Certified Roles) are assessed as fit and proper to carry out their role.


Under the guidance provided by the FCA and PRA, firms should have regard to the following when assessing fitness and propriety:

Honesty, integrity and reputation Financial soundness Competence and capability

In order to comply with the requirements of the Certification Regime, Citi entities must take reasonable care to ensure that an employee does not perform a Certified Role without first being certified as Fit and Proper. For this reason, you will be assessed for this role against the Fit and Proper requirements, as described above.


This assessment will be carried out through extensive interviews, self-disclosures, permitted criminal record checks, regulated reference checks, credit checks and other background screening checks.


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Job Family Group:

Institutional Trading
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Job Family:

Trading
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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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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.



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