3562989-Lead Assistant Manager

We are seeking a highly motivated and skilled Data Analyst with 2-3 years of hands-on experience in data analysis and holds banking, analytical and credit risk knowledge. The ideal candidate will have strong technical expertise in SAS, ;SQL along with excellent communication skills and a working knowledge of banking concepts.Required QualificationsBachelor's / master's degree in Statistics, Mathematics, Engineering, or a related field2-3 years of experience in data science, analytics, or a related roleProficiency in Python, SAS, SQLGood to have experience on data visualization tools (e.g., Power BI, Tableau)Strong problem-solving skills and analytical thinkingExcellent verbal and written communication skillsPast experience in problem solving roles, strategic initiatives etc. is added advantageKnowledge in banking domain ; ; ; ; ; ; ;Key ResponsibilitiesSupport tactical & strategic risk analytics initiatives for US based banks' Risk team ; ; ; ; ; ; ; ; ; ; Develop risk policy for Point of Sale (POS) lending, Buy-now-pay-later (BNPL), and Credit Card solutions ; ; ; ; ; ; ; ; ; ; ; Design A/B testing frameworks with Design of Experiments (DOE) methodology to optimize risk management programs ; ; ; ; ; Policy analytics to make sure correct customer segments are targeted and acquired ; ; ; ; ; Build reporting/BI frameworks for Risk teams within the organization ; ; ; ; ; ; ; Evaluate effectiveness of current policies & strategies, manage the monthly dashboards and ad-hoc analysis, analyze tests & performance related to funnel performance, portfolio verification performance and post issuance loan performance ; ; ; ; ; ; ; ; ; ; Clearly communicate analysis as presentations to technical & non-technical groups ; ; ; ; ; ; Develop and maintain effective working relationships with colleagues in other areas of Risk Management. ; ; ; ; ; ; ; ; ; ; ; Summarize analytical findings into presentations and share analysis & reports with senior leadership. ; ; ; ; ; ; ; ; ; Maintain a high degree of technical and policy understanding with respect to credit risk. ;EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration - and we've been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that's unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It's our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we're some of the best in the business. Contact us to see how we can help you achieve your goals.