GEN AI Analyst

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:

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.

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

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

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

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

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