Citi Group Data Scientist - AVP/VP 

United Kingdom, England, London 

532481639

Key Responsibilities:

• Liaise with relationship management teams and corporate bankers to prioritize project leads and explore new business opportunities with investors and corporate clients
• You will be a visible data science expert, working closely with external clients in interpreting their briefs and converting them to high quality actionable data science projects.
• You will participate in investigating new project ideas, design a framework of a solution, evaluate its effort and feasibility and provide recommendations to management who will align against financial value.
• You will work on all stages of the data analysis cycle - collect, process and enrich data of different formats from multiple sources using a variety of technologies and platforms; load, manipulate data using free SQL writing; analyze the data using various analysis tools and visualize data.
• You will contribute, from an analytics and content perspective, to client publications and work closely with Client Division stakeholders on these publications.
• You will help to drive the development and implementation of AI/GenAI tools for marketing and content
• Supervise the derived data assets available within the team, to effectively push a project from data curation to data analysis and execute on the agreed form of output and into production.
• Create a strong relationship with the different stakeholders of each project updating on the progress and consulting iteratively when necessary.
• Gather, validate, and analyze large complex information sets; understand the meaning of the data and how it applies to end users; identify and trouble-shoot / problem solve issues with data or results.

Development Value:

The role will give you exposure to world's largest asset management firms, hedge funds, sovereign wealth funds, other institutional and corporate clients. You will also work with proprietary datasets from other divisions across Citi franchise to provide unique insights to clients.

Requirements:

• BSc or MSc degree with emphasis on one or more of the following: big data, data science, computer science, computer engineering, statistics, mathematics or equivalent quantitative discipline. A PhD is a strong bonus / or equivalent work experience
• Hands-on experience of NLP, LLM, and Generative AI techniques and tools is strongly preferred.
• Expertise in Data Science tools and techniques like Arima, regime based models, VAR, error correction models,multivariate time series models, neural networks, decision trees, clustering and pattern recognition
• Proven experience with working on various databases including Big Data platforms. This includes data engineering, analysis and modeling.
• Strong knowledge and experience of statistical anddata mining, machine learning and generative AI
• Programming experience withPython, R, Java or otherrelated tools
• Strong working knowledge of SQL, ETL and BI tools
• Strong analytical and project management skills, including a thorough understanding of how to interpret business requirements and provide data to help observe trends and identify anomalies.
• Financial industry knowledge; an understanding of, and keen interest in, investment management and financial markets highly desirable

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

Time Type:

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