This a development position for establishing and implementing new or revised applications and programs in the Technology team. As part of this role, you will be responsible for data extraction and data analysis from structured and unstructured sources. You will develop systems to clean results to build predictive and prescriptive models and implement them in a production environment by partnering with technology and business partners. You will have to address complex problems involving financial data with specific focus on credit risk management. You will have to have open and adaptive mindset to learn new and advanced models in LLM and GenAI and bring in innovative solutions to complex business problems. Develop plans and coordinate with teams for all analytical efforts. Manage deliverables in an agile environment and maintain clear communication with all model stakeholders. Present status, issues, and analytical findings to various audience groups like business, technology management, risk review, model governance, etc. Develop, manage, and deploy analytical solutions using Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) to production systems using technology SDLC process. Implement features through the ML lifecycle (Development, Testing, Training, Production, Monitoring/Evaluation) to ensure scalability and reliability. Build predictive and prescriptive models by manipulating and cleaning results. Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL). Background in financial business-like banking, risk management. Should be familiar with capital markets and financial instruments and modeling