Job
Description
You will be a part of the Analytics and Information Management (AIM) team at Citi's North America Consumer Bank - Data Science and Modeling team. Here is a breakdown of your role: **Role Overview:** You will work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies. Your specialization will be in marketing and GEN AI. It is important to appropriately assess risk when making business decisions and adhere to compliance with laws and regulations. **Key Responsibilities:** - Work with large and complex datasets using tools like Python, PySpark, SQL, Hive, etc., to build Deep learning/generative AI solutions - Design, fine-tune, and implement LLMs/GenAI applications using various techniques - Document data requirements, data collection/processing/cleaning, and exploratory data analysis - Collaborate with team members and business partners to build model-driven solutions - Ensure compliance of models with Citi standards **Qualifications:** - 8-12 years of total experience - Ability to communicate technical information to both technical and non-technical audiences - Strong problem-solving and root cause analysis skills - Ability to focus on multiple priorities and drive solutions in a fast-paced environment - Relevant work experience in data quality, data analytics, data management within the financial services industry - Outstanding analytical and problem-solving skills **Additional Company Details:** Citi AIM was established in 2003 and is a global community that objectively connects and analyzes information to create actionable intelligence for business leaders. The function balances customer needs, business strategy, and profit objectives using best-in-class analytic methodologies. If you are a bright and talented individual looking to pursue a career in AI and Machine Learning, especially Generative AI, Citi offers excellent opportunities for you. You should have experience working with transformers/LLMs, prompt engineering, RAG-based architectures, and relevant tools/frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and more. Additionally, you should possess a solid understanding of deep learning, transformers/language models, and statistical analysis. You will be a part of the Analytics and Information Management (AIM) team at Citi's North America Consumer Bank - Data Science and Modeling team. Here is a breakdown of your role: **Role Overview:** You will work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies. Your specialization will be in marketing and GEN AI. It is important to appropriately assess risk when making business decisions and adhere to compliance with laws and regulations. **Key Responsibilities:** - Work with large and complex datasets using tools like Python, PySpark, SQL, Hive, etc., to build Deep learning/generative AI solutions - Design, fine-tune, and implement LLMs/GenAI applications using various techniques - Document data requirements, data collection/processing/cleaning, and exploratory data analysis - Collaborate with team members and business partners to build model-driven solutions - Ensure compliance of models with Citi standards **Qualifications:** - 8-12 years of total experience - Ability to communicate technical information to both technical and non-technical audiences - Strong problem-solving and root cause analysis skills - Ability to focus on multiple priorities and drive solutions in a fast-paced environment - Relevant work experience in data quality, data analytics, data management within the financial services industry - Outstanding analytical and problem-solving skills **Additional Company Details:** Citi AIM was established in 2003 and is a global community that objectively connects and analyzes information to create actionable intelligence for business leaders. The function balances customer needs, business strategy, and profit objectives using best-in-class analytic methodologies. If you are a bright and talented individual looking to pursue a career in AI and Machine Learning, especially Generative AI, Citi offers excellent opportunities for you. You should have experience working with transformers/LLMs, prompt engineering, RAG-based architectures, and relevant tools/frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and more. Additionally, you should possess a solid understanding of deep learning, transformers/language models, and statistical analysis.
