Manager

Role Summary In this role, you will be involved in the First Party Fraud / Credit Abuse Strategy team for a leading US bank focusing on end-to-end delivery of analysis and seamless execution by collaborating with cross-functional teams. You will get an opportunity to derive insights from large complex datasets and impact business decisions through data-based findings.  Responsibilities Design & Implement data driven First Party Fraud/ synthetic frauds strategies, credit abuse. Generate and automate regular reports and dashboards for fraud-related KPIs, offering actionable insights for Senior management. Analyze transaction data and customer behavior to identify early warning signs of fraud and proactively address vulnerabilities. Identification of potential check and deposits fraud - activity related to checks, such as forged checks, counterfeit checks Independently address complex problems and share insights from data analysis that integrate with initial hypothesis and business objective Comfortable working with large datasets, including managing large number of data sources, analyzing data quality, and pro-actively working with client's data/ IT teams to resolve issues Reformulate highly technical information into concise business presentations Create presentations and reports based on recommendations and findings  Basic Qualifications Bachelor's or master's degree in mathematics, statistics, economics, computer engineering or analytics related field  4+ years of consulting, analytics delivery experience in Fraud, Disputes, operations and exposure to credit card & retail banking domains Hands-on experience with SAS/SQL and Microsoft Office Excellent communication, presentation and story building skills  Strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day complex customer problems  Desired Qualifications Ability to adapt to emerging analytic tools and solutions into standard operating procedures Knowledge of basic machine learning algorithms like decision trees, regression models and clustering Expertise in fraud application loss mitigation on cards portfolio  About the TeamEXL 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.