Data Scientist - AVP/VP

Data Scientist - AVP/VP

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join Citi's Global Data Insights team to tackle analytical challenges and communicate findings effectively.
  • Company: Citi is a leading global bank with a strong presence in over 160 countries.
  • Benefits: Gain exposure to top asset management firms and work with unique proprietary datasets.
  • Why this job: This role offers a chance to leverage your quantitative skills in a dynamic, front-office environment.
  • Qualifications: BSc or MSc in data science or related fields; PhD or equivalent experience is a plus.
  • Other info: Hands-on experience with NLP, LLM, and Generative AI techniques is strongly preferred.

The predicted salary is between 48000 - 84000 £ per year.

An exciting opportunity exists to join the Citi Global Data Insights team within the 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.
  • 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 troubleshoot / problem solve issues with data or results.

Development Value:

The role will give you exposure to the 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 and data mining, machine learning and generative AI.
  • Programming experience with Python, R, Java or other related 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.

Job Family Group: Research

Job Family: Research Product

Time Type: Full time

Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries (“Citi”) invite all qualified interested applicants to apply for career opportunities. 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 .

View the “EEO is the Law ” poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting .

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Data Scientist - AVP/VP employer: Citigroup Inc.

Citi is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. As part of the Global Data Insights team, you will have the opportunity to engage with top-tier clients and cutting-edge data science techniques, fostering both personal and professional growth. With a commitment to diversity and inclusion, Citi provides a supportive culture that values your contributions and encourages continuous learning, making it an ideal place for motivated individuals seeking meaningful and impactful careers.
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Contact Detail:

Citigroup Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist - AVP/VP

✨Tip Number 1

Familiarize yourself with the specific data science tools and techniques mentioned in the job description, such as NLP, LLM, and Generative AI. Being able to discuss these topics confidently during your interview will demonstrate your expertise and enthusiasm for the role.

✨Tip Number 2

Network with professionals in the financial industry, especially those who work in data science roles. Engaging with them on platforms like LinkedIn can provide you with insights into the company culture at Citi and may even lead to referrals.

✨Tip Number 3

Prepare to showcase your analytical skills by working on relevant projects or case studies that involve complex data analysis and visualization. Being able to present these examples during your interview will highlight your practical experience.

✨Tip Number 4

Stay updated on the latest trends in data science and the financial markets. This knowledge will not only help you in interviews but also show your genuine interest in the role and the impact of data science in the financial sector.

We think you need these skills to ace Data Scientist - AVP/VP

Data Analysis
Statistical Modeling
Machine Learning
Natural Language Processing (NLP)
Generative AI Techniques
Big Data Platforms
SQL
Python
R
Data Visualization
Project Management
Analytical Thinking
Communication Skills
Problem-Solving Skills
Financial Market Knowledge

Some tips for your application 🫡

Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Highlight your relevant experience in data science, analytics, and client interaction in your application.

Tailor Your CV: Customize your CV to reflect the skills and experiences that align with the job. Emphasize your expertise in data science tools, programming languages, and any relevant projects you've worked on, especially those involving NLP and Generative AI.

Craft a Compelling Cover Letter: Write a cover letter that showcases your curiosity and critical thinking skills. Explain how your background makes you a great fit for the role and how you can contribute to Citi's Global Data Insights team.

Showcase Your Analytical Skills: In your application, provide examples of how you've successfully tackled analytical challenges in the past. Use clear language to describe your thought process and the impact of your work on previous projects.

How to prepare for a job interview at Citigroup Inc.

✨Showcase Your Analytical Skills

Be prepared to discuss your experience with various data science techniques and tools. Highlight specific projects where you utilized NLP, LLM, or Generative AI, and be ready to explain your thought process in solving analytical challenges.

✨Communicate Clearly

Since the role involves communicating complex data insights to clients, practice explaining your past projects in simple terms. Use visualizations or summary statistics to illustrate your points effectively during the interview.

✨Demonstrate Project Management Experience

Discuss your experience in managing data projects from conception to execution. Be ready to provide examples of how you prioritized tasks, collaborated with stakeholders, and delivered actionable insights on time.

✨Understand the Financial Context

Familiarize yourself with the financial industry and investment management concepts. Showing a keen interest in financial markets and how data science can drive value for clients will set you apart as a candidate.

Data Scientist - AVP/VP
Citigroup Inc.
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  • Data Scientist - AVP/VP

    London
    Full-Time
    48000 - 84000 £ / year (est.)

    Application deadline: 2027-03-21

  • C

    Citigroup Inc.

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