Business Analyst

Citi's mission is to serve as a trusted partner to clients by responsibly providing financial services that enable growth and economic progress. With over 200 years of experience, Citi helps clients meet challenges and seize opportunities. Analytics and Information Management (AIM) at Citi was established in 2003 and is located in multiple cities in India including Bengaluru, Chennai, Pune, and Mumbai. The AIM community connects and analyzes information to create actionable intelligence for business leaders, identifying revenue growth opportunities in partnership with businesses through analytic methodologies. The North America Consumer Bank Data Science and Modeling team uses big data tools and machine learning techniques to analyze millions of prospects and billions of customer transactions. The team extracts insights, identifies opportunities, builds predictive models, and designs strategies for various business problems. The Business Analytics Analyst 1 role within the Model governance area of the North America Consumer Bank team is responsible for ensuring comprehensive and regulatory-compliant documentation of financial models used in the bank. The Next Gen Analytics (NGA) team, a part of the AIM unit, focuses on detailed model governance work. The role requires attention to detail, effective collaboration with various stakeholders, a statistical mindset, strong communication skills, a sense of ownership for project delivery, and continuous process enhancement for efficiency and consistency. The Business Analytics Analyst 1 is responsible for creating, updating, and maintaining detailed documentation related to model monitoring and review processes, ensuring compliance with Citi standards and providing guidance on governance best practices. The role involves overseeing model inventory, working with large and complex data sets using tools like Python, PySpark, SQL, SAS, and R, collaborating with other teams within the organization, and ensuring quality control over deliverables. Candidates should have a Bachelor's or Master's degree in a relevant field, 1-3 years of experience in data analytics, technical skills in programming and data analysis, familiarity with model risk management and fair lending laws, and the ability to handle multiple projects simultaneously. Key requirements include hands-on experience in data analytics tools, understanding of model risk regulations, proficiency in statistical analysis and modeling techniques, capability to maintain models in production, strong communication and project management skills, and a detail-oriented and self-motivated approach. Experience in Credit Cards and Retail Banking is preferred. A Bachelor's or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, or Engineering from a reputable institute is required. The role is full-time in the Credit Cards, Retail Banking, Financial Services, Banking industry.,