Data Scientist

An exciting opportunity exists to join the Citi Global Data Insights team within Marketing & Content unit of our Client Division. The successful candidate will be a curious and critical thinker eager to solve a wide variety of analytical challenges, while communicating any output in simple terms; verbally, through visualizations, effective summary statistics, and external content. You will work with external clients to execute on their bespoke projects by utilizing alternative datasets, different data platforms and data science techniques. Based in London, this role will appeal to a highly motivated individual looking to leverage their strong quantitative skillset in a highly visible and growing front-office department.

Job Background/context:

Being a leading global bank with a presence in over 160 countries and jurisdictions to meet institutional and individual banking needs, Citi is a trusted global trading partner and a respected global leader in thought leadership research and analysis. Our clients include a wide range of institutional, corporate, sovereign, high net worth, and retail investors, and we provide these clients with value-added, insightful and actionable insights. Citi Global Data Insights unit is established within Citi’s Client Division and is a key data science stakeholder across the bank.

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.

• 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

• Expertise in Data Science tools and techniques like Arima, regime based models, VAR, error correction models, multivariate time series models

• Proven experience with working on various databases including Big Data platforms. This includes data engineering, analysis and modeling.

• Strong knowledge and experience of statistical and data mining and machine learning

• Programming experience with Java, Python, R or other related tools

• Strong working knowledge of SQL, ETL and BI tools

• Algorithms such as regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory, stochastic systems, Bayesian inference, statistical techniques and dimensionality reduction

• Exposure to NLP, LLM, and Generative AI techniques and 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.

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