Specialized Analytics Analyst - C10 - Decision Sciences

You will be joining the Data Science and Modeling team of the North America Consumer Bank as a Business Analytics Analyst 2. You will report to the AVP / VP leading the team. **Role Overview:** The team focuses on analyzing millions of prospects and billions of customer level transactions using big data tools and machine learning, AI techniques to unlock opportunities for clients in meeting their financial needs and creating economic value for the bank. **Key Responsibilities:** - Work with large and complex datasets using tools like Python, PySpark, SQL, Hive, etc., to build Deep learning/generative AI solutions for various business requirements. - 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 using deep learning/generative AI algorithms and data visualization techniques. - 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 and at times, ML/traditional methods. - Ensure compliance of models with Citi standards and applicable laws. **Qualifications Required:** - Bachelors Degree with at least 3 years of experience in data analytics, or Masters Degree with 2 years of experience in data analytics, or PhD. - Hands-on experience in PySpark/Python/R programming along with strong experience in SQL. - 2-4 years of experience working on deep learning and generative AI applications. - Solid understanding of deep learning, transformers/language models. - Experience working with large datasets, data warehouses, and relevant tools/frameworks. - Strong background in Statistical Analysis. - Self-motivated with the ability to implement innovative solutions at a fast pace. - Experience in Credit Cards and Retail Banking preferred. - Bachelor's / masters degree in economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. Please note that the job details have been summarized from the provided Job Description.,