Control Automation Data Science Analyst

Single PositionExplore a Career With UsView All JobsHybridControl Automation Data Science AnalystGURUGRAM, Haryāna, IndiaApply NowFind out how well you match with this jobUpload your resumeJob descriptionJob ID26979480Date posted07/14/2026DepartmentDecision ManagementControl Automation Data Science Sr Analyst (C11) - DSAbout CITICiti'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.About AIM: Analytics and Information Management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world. What do we do:We have one formula for managing risk across the firm: our Enterprise Risk Management Framework. This consistency enables us to take an end-to-end view in how we identify, measure, build, control and report risks. We are also working to simplify, streamline and automate our manual controls—strengthening our ability to prevent issues, not just to detect them after they happen. When issues do appear, we should strive to understand the root cause. We can then apply those lessons-learned horizontally across the organization to prevent similar issues from arising elsewhere.Expertise required:AI Solution Development: Design, develop, and implement AI-powered solutions using large language models (LLMs) and other machine learning techniques to address business challenges and opportunities.Prompt Engineering: Create, refine, and optimize prompts to guide LLMs and other generative AI tools, ensuring accurate, relevant, and high-quality outputs for a variety of applications.Tool Utilization: Effectively use AI-powered tools like GitHub Copilot and other industry-available platforms to accelerate development, automate tasks, and improve overall productivity.Collaboration and Integration: Work closely with cross-functional teams, including product managers, engineers, and data scientists, to identify opportunities for integrating AI and LLMs into new and existing products and workflows.Research and Innovation: Stay current with the latest advancements and trends in AI, LLMs, prompt engineering, and related technologies, and apply this knowledge to drive innovation and maintain our competitive edge.Performance Analysis: Monitor, analyze, and interpret the performance of AI models and systems, providing actionable insights and recommendations for continuous improvement. Use statistical modelling analysis, Machine Learning, Data mining techniques to extract actionable insights from large and complex datasets.Conduct exploratory data analysis to uncover hidden relationships and opportunities for optimizations.Algorithm Development:Design, develop, deploy advance algorithms to solve complex business problems.Optimize algorithms for scalability, performance, and accuracy.Stay abreast of the latest advancements in Machine Learning and Artificial Intelligence and continuously improve modelling techniques.Collaboration and communication:Collaborate with Model Risk Management and Data Engineers, business analysts, product managers to define project requirements and deliver solutions.Communicate findings and recommendations to technical and non-technical stakeholders.Act as subject matter expert on Data Science methodology and best practices.Data management and governance:Work with Data engineers to ensure availability, quality, and integrity of datasets.Develop and implement Data governance procedures to ensure compliance with regulatory requirements and industry standards.Domain SkillsGood understanding of Banking domain (Wealth, Cards, Deposit, Loans & Insurance etc.)Functional SkillsBusiness risk, controls,...