GEN AI Analyst

Citi; New York (NY); Hybrid; USD 9,400 - 16,000; Full time

Job summary

Citi is seeking a Gen AI Analyst in its North America Data Science and Modeling group to develop generative AI solutions and ML models. You will work on training, evaluating, and deploying models, with emphasis on prompt engineering, RAG, and governance in a hybrid environment.

The role requires 1–3 years of hands-on AI/ML experience, strong Python/PySpark and SQL skills, and familiarity with large language models and related frameworks. Collaboration across teams is essential.

Qualifications

• 1-3 years of hands-on experience in an AI, ML, or data science role.
• Proficient in PySpark/Python/R and SQL.
• Experience with deep learning and generative AI.
• Familiarity with Transformers/LLMs and related tools.
• Strong communication and problem-solving skills.

Responsibilities

• Work with large and complex datasets to build Deep learning/generative AI solutions.
• Model training/fine-tuning, validation, deployment and governance.
• Design, fine-tune and implement LLMs/GenAI applications (prompt engineering, RAG, fine-tuning).
• Document data requirements, processing, cleaning, and exploratory analysis.
• Collaborate with team and business partners to deliver model-driven solutions.

Skills

PySpark

Python

R

SQL

Deep learning

Generative AI

Transformers/LLMs

Prompt engineering

RAG

Vector databases

Data warehouses

Statistical analysis

Education

Bachelor's / Master’s degree in Economics / Statistics / Mathematics / IT / Computer Applications / Engineering

Tools

TensorFlow

PyTorch

Hugging Face Transformers

LangChain

LlamaIndex

Job description

GEN AI Analyst

Job Req Id:

26991654

Location(s):

Haryana, India

Job Type:

Hybrid

Posted:

Sep. 09, 2026

Discover your future at Citi

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.

Job Overview

Spec Analytics Analyst C09

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.

Role Description

• The role will be Spec Analytics Analyst 1 in the Data Science and Modeling of North America Consumer Bank team
• The role will report to the AVP / VP leading the team

What do we offer: The Modeling Capabilities team is a part of the Analytics & Information Management (AIM) unit. The Modeling capabilities team will focus on the following areas of work:

Role Expectations:

• Client Obsession – Create client centric analytic solution to business problems. Individual should be able to have a holistic view of multiple businesses and develop analytic solutions accordingly.
• Analytic Project Execution – Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in modeling, and implementing such solutions to create economic value.
• Domain expert – Individuals are expected to be domain expert in their sub field, as well as have a holistic view of other business lines to create better solutions. Key fields of focus are new customer acquisition, existing customer management, customer retention, product development, pricing and payment optimization and digital journey.
• Modeling and Tech Savvy – Always up to date with the latest use cases of modeling community, machine learning and deep learning algorithms and share knowledge within the team.
• Statistical mind set – Proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.
• Communication skills – Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management.
• Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.

Role Responsibilities:

• Work with large and complex datasets using a variety of tools (Python, PySpark, SQL, Hive, etc.) and frameworks to build Deep learning/generative AI solutions for various business requirements.
• Primary focus areas include model training/fine-tuning, model validation, model deployment, and model governance related to multiple portfolios.
• Design, fine-tune and implement LLMs/GenAI applications using techniques like prompt engineering, Retrieval Augmented Generation (RAG) and model fine-tuning
• Responsible for documenting data requirements, data collection/processing/cleaning, and exploratory data analysis, including utilizing deep learning /generative AI algorithms and, data visualization techniques.
• Incumbents in this role may often be referred to as Data Scientists.
• Specialization in marketing, risk, digital, and AML fields possible, applying Deep learning & generative AI models to innovate in these domains.
• Collaborate with team members and business partners to build model-driven solutions using cutting-edge Generative AI models (e.g., Large Language Models) and also at times, ML/traditional methods (XGBoost, Linear, Logistic, Segmentation, etc.)
• Work with model governance & fair lending teams to ensure compliance of models in accordance with Citi standards.
• 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, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

What do we look for:

If you are a bright and talented individual looking for a career in AI and Machine Learning with a focus on Generative AI, Citi has amazing opportunities for you.

• 1-3 years of relevant hands-on experience in an AI, ML, or data science role.
• Technical Skills
  • Hands-on experience in PySpark/Python/R programing along with strong experience in SQL.
  • 1-3 years of experience working on deep learning, and generative AI applications
  • Experience working on Transformers/ LLMs (OpenAI, Claude, Gemini etc.,), Prompt engineering, RAG based architectures and relevant tools/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, LlamaIndex etc.,
  • Solid understanding of deep learning, transformers/language models.
  • Familiarity with vector databases and fine-tuning techniques
  • Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
  • Strong background in Statistical Analysis.
  • Capability to validate/maintain deployed models in production
• Self-motivated and able to implement innovative solutions at fast pace
• Experience in Credit Cards and Retail Banking is preferred
• Competencies
  • Strong communication skills
  • Multiple stake holder management
  • Strong analytical and problem solving skills
  • Excellent written and oral communication skills
  • Strong team player
  • Control orientated and Risk awareness
  • Working experience in a quantitative field
  • Willing to learn and can-do attitude
  • Ability to build partnerships with cross-function leaders

Education:

• Bachelor's / master’s degree in economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering etc. from a premier institute

Job Family Group:

Decision Management

Job Family:

Specialized Analytics (Data Science/Computational Statistics)

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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 ... Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.