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Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
About CITI
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial
services that enable growth and economic progress. We have 200 years of experience helping
our clients meet the world's toughest challenges and embrace its greatest opportunities.
Analytics and Information Management (AIM)
Citi AIM was established in 2003, and is located across multiple cities in India – Bengaluru,
Chennai, Pune and Mumbai. It is a global community that objectively connects and analyzes
information, to create actionable intelligence for our business leaders. It identifies fact-based
opportunities for revenue growth in partnership with the businesses. The function balances
customer needs, business strategy, and profit objectives using best in class and relevant
analytic methodologies.
What do we do?
The North America Consumer Bank – Data Science and Modeling team analyzes millions of
prospects and billions of customer level transactions using big data tools and machine learning,
AI techniques to unlock opportunities for our clients in meeting their financial needs and create
economic value for the bank.
The team extracts relevant insights, identifies business opportunities, converts business
problems into modeling framework, uses big data tools, latest deep learning and machine
learning algorithms to build predictive models, implements solutions and designs go-to-market
strategies for a huge variety of business problems.
The Specialized Analytics VP is a developing role for an AI/ML professional. This
role is focused on designing and building cutting-edge solutions by harnessing the power of
both advanced machine learning and Large Language Models. The ideal candidate will have a
deep understanding of the modern AI landscape, with hands-on experience applying these
technologies to solve real-world business challenges. You will integrate in-depth specialty area
knowledge with a solid understanding of industry standards and practices, and will have the
latitude to solve complex problems independently. This role has a direct impact on the
business's core activities, and the quality of your work will influence the success of your team
and its partners. The role will report to the VP leading the team.
Responsibilities:
• Design, develop, and deploy end-to-end solutions leveraging Large Language Models
(LLMs), with a strong focus on building and optimizing Retrieval-Augmented Generation
(RAG) systems.
• Apply the fundamentals of Agentic AI to create autonomous and intelligent systems that
solve complex business problems.
• Utilize a broad range of machine learning techniques, including predictive modeling (e.g.,
Gradient Boosting, XGBoost) and unsupervised learning (e.g., Clustering), to generate
insights and enhance AI-driven solutions.
• Lead advanced prompt engineering efforts and establish robust testing frameworks to
ensure the performance, accuracy, and safety of LLM-based applications.
• Work with large and complex datasets to source, clean, and prepare data for both
traditional modeling and advanced LLM applications.
• Translate complex AI/ML concepts and analytical findings into actionable insights and
communicate them clearly to both technical and non-technical stakeholders.
• Appropriately assess risk when business decisions are made, demonstrating particular
consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets,
by driving compliance with applicable laws, rules, and regulations.
Qualifications:
•10+ years of relevant hands-on experience in an AI, ML, or data science role.
• Strong foundation in classical machine learning algorithms (e.g., Gradient Boosting,
Clustering, XGBoost) and their practical applications.
• Deep understanding of Large Language Models (LLMs), and proven, hands-on
experience building end-to-end Retrieval-Augmented Generation (RAG) pipelines.
• Demonstrable expertise in advanced prompt engineering techniques and a strong grasp
of LLM evaluation and testing methodologies.
• Strong proficiency in Python and its core AI/ML libraries
• Expertise in retrieving and manipulating large datasets using SQL.
• Excellent communication and interpersonal skills, with the ability to build partnerships
with cross-functional leaders in a matrix work environment.
• A proactive, can-do attitude and a strong willingness to learn and adapt within the rapidly
evolving AI landscape.
Education:
• Bachelors/University degree or equivalent experience in a quantitative field such as
Computer Science, Statistics, Engineering, or Mathematics.
•Working Environment: office setting, minimal travel required.
• Effort: minimal physical effort required.
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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.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Eligibility typically includes the qualifications and experience outlined in the job description above, with around 0-5 Years years of relevant experience expected for this role.
The key responsibilities for this role are detailed in the Key Responsibilities section above, covering the core duties expected of a Vice president lead AI ML engineer at Citi Bank.
This role requires around 0-5 Years years of relevant experience, as specified in the job listing. Please refer to the Qualifications & Experience section above for full details.
Skills relevant to this position are outlined in the Qualifications & Experience section above. In general, strong communication, domain knowledge, and the ability to meet role-specific targets are valued across similar BFSI positions.
You can apply directly using the Apply Now button on this page, which will take you to Citi Bank's application process for this role.