Sr. Client Consulting Manager,

Company Description Visa is a world leader in payments and technology with over 259 billion payments transactions flowing safely between consumers merchants financial institutions and government entities in more than 200 countries and territories each year Our mission is to connect the world through the most innovative convenient reliable and secure payments network enabling individuals businesses and economies to thrive while driven by a common purpose - to uplift everyone everywhere by being the best way to pay and be paid Make an impact with a purpose-driven industry leader Join us today and experience Life at Visa Visa Consulting Analytics VCA is Visa s client-facing consulting division serving Visa s clients including card issuers acquirers and merchants and solving their strategic problems linked to money movement Drawing on our expertise in strategy consulting payments data analytics marketing operational and macroeconomics VCA drives high impact and tangible financial results In Asia Pacific AP VCA has two types of teams - 1 Geo team focused on serving the clients and driving the client engagements in their geography and 2 Hub team focused on providing and deepening expertise in functional topics such as risk digital corporate banking AI etc What a Client Consulting Sr Manager Risk Practice - Singapore Malaysia Thailand SMT does at VISA The VCA Risk Advisory team is responsible for delivering advisory services to Visa s clients across Credit Risk and Fraud Risk areas The Senior Manager individual will bring expertise in both the risk functional domain and in risk analytics gained as Risk Practitioner within a bank and or a specialized risk consulting firm We are looking for a motivated analytically minded individual with a track record of using Risk expertise to unlock business value As a Sr Manager you will play a pivotal role in developing and expanding our Credit Risk consulting services across the SMT cluster and will contribute to the delivery of Fraud Risk advisory engagements focusing on key priority areas that will grow both Visa s and the client s business Potential projects include optimization of the client s processes around cards acquisition underwriting portfolio management and collections development of risk models and their use for decisioning strategies across the credit lifecycle etc Key responsibilities for the Senior Manager Risk Practice include Project Delivery Drive Credit Risk advisory engagements across SMT markets Lead the Data Science team to deliver high quality machine learning modelling solutions that support credit risk decisioning strategies across the credit lifecycle Project Delivery Contribute and manage the delivery of Fraud Risk engagements across SMT markets Consulting and Client Engagement Deliver high quality consulting services and lead proactive effective communication with clients throughout the engagement lifecycle Collaborating with the client s teams both internal and external to understand the business problem develop solutions and services to meet the desired business outcome throughout the end-to-end engagement Business Development Prepare client proposals and project plans identifying dependencies roles and responsibilities scope and deliverables End-to-end delivery of multiple projects within timelines scope and budget requirements Ensuring all project documentation is up to date and maintain the highest levels of quality in deliverables Support the development and maintenance of consistency standards and quality control of Credit Risk consulting methodologies ensuring world-class best practices and efficiency through economies of scale Thought Leadership Practice and Solution Development Create consulting practice materials such as business case pitch decks strategy framework and other assets following best practices and the latest IP that Visa s market teams can use to scale reach and impact Flexible travel to client locations across SMT markets for project delivery 30 This is a hybrid position Expectation of days in office will be confirmed by your hiring manager Qualifications Basic Qualifications Candidate with 10 years of risk experience in banking consumer lending industry preferred Graduate Post Graduate degree Masters or Ph D in Quantitative field such as Statistics Mathematics Computer Science Economics or equivalent experience preferred Domain expertise in Credit Risk Management Deep understanding of the credit risk industry key players regulatory framework and credit risk management best practices Understanding of the credit risk models development approach decisioning strategy definition and implementation operational and regulatory reporting Understanding of the consumer Credit risk landscape in AP preferred Strong business acumen with strong ability to solve business problems through data driven quantitative methodologies Good understanding of banking data and ability to investigate and analyze database and data processing problems Self-motivated results oriented with strong analytical and problem-solving skills with demonstrated ability to think creatively and strategically Excellent communication storytelling and presentation skills Detailed oriented the candidate is expected to ensure the highest level of quality rigor in deliverables reports data analysis Proven skills in translating analytics output to actionable recommendations Experience in presenting ideas and analysis to stakeholders with the ability to tailor data driven results to various audience levels Expert proficiency in power point and excel Team player with collaborative diplomatic and flexible style able to work across cultures Individuals that uphold and promote the highest ethical standards and mutual respect in the workplace Exhibit intellectual curiosity and strive to continually learn Preferred Qualifications Proficiency in some of the following statistical techniques Linear and Logistic Regression Decision Trees Random Forests Markov Chains Support Vector Machines Neural Networks Clustering Principal Component Analysis Factor analysis etc Proficiency in modelling tools programming skills in Python and SQL and additional experience in R and or SAS Domain expertise in Fraud Risk Management prevention detection response Additional Information Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law