Job
Description
Citi's mission is to serve as a trusted partner to clients by providing financial services responsibly to enable growth and economic progress. With 200 years of experience, Citi has been helping clients face tough challenges and seize great opportunities. Analytics and Information Management (AIM) at Citi has been operating since 2003 and is spread across multiple cities in India including Bengaluru, Chennai, Pune, and Mumbai. It is a global community that objectively connects and analyzes information to generate actionable intelligence for business leaders. The focus is on identifying fact-based opportunities for revenue growth in collaboration with businesses using top-notch analytic methodologies. The North America Consumer Bank Data Science and Modeling team within AIM analyzes millions of prospects and billions of customer transactions using big data tools, machine learning, and AI techniques to unlock opportunities for clients and create economic value for the bank. As a part of the Data Science and Modeling team of the North America Consumer Bank, the role will involve reporting to the AVP / VP leading the team. The Next Gen Analytics (NGA) team within AIM will concentrate on client-centric analytic solutions, project execution, modeling, technology proficiency, statistical mindset, communication skills, project management, coaching, mentorship, and contributing to organizational initiatives. Key responsibilities will include working with large and complex data sets using tools like Python, PySpark, SQL, R, etc., building modeling solutions for various business requirements, documenting data requirements, exploratory data analysis, model building, validation, implementation, governance, and more. The role will also involve specialization in marketing, risk, digital, AML fields, working with model governance, ensuring compliance with Citi standards, and assessing risks when making business decisions. The ideal candidate for this role should have a Bachelor's Degree with 3 years of data analytics experience, a Master's Degree with 2 years of experience, or a PhD. Technical skills required include experience in PySpark/Python/R programming, strong SQL experience, 2-4 years of experience in machine learning and statistical modeling techniques, understanding of deep learning, working with large datasets, statistical analysis, self-motivation, innovative thinking, experience in Machine Learning software frameworks, and more. Competencies sought after include strong communication skills, stakeholder management, analytical skills, problem-solving abilities, team player attitude, control orientation, risk awareness, and a quantitative field background. The educational requirements include a Bachelor's or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, Engineering from a premier institute. This is a full-time employment opportunity in the Credit Cards, Retail Banking, Financial Services, Banking industry.,
