Sr. Client Consulting Manager,

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:

• Lead Credit Risk advisory engagements across SMT markets and manage the Data Science team to deliver high quality machine learning modelling solutions that support credit risk decisioning strategies across the credit lifecycle.
• Contribute to and manage the delivery of Fraud Risk engagements across SMT markets.
• Deliver high-quality consulting services and maintain proactive, effective communication with clients throughout the engagement lifecycle.
• Collaborate with the client's teams (internal and external) to understand the business problem, develop solutions, and deliver end-to-end engagement outcomes.
• Prepare client proposals and project plans, identifying dependencies, roles and responsibilities, scope, and deliverables.
• Oversee end-to-end delivery of multiple projects within defined timelines, scope, and budget.
• Ensure all project documentation is up to date and maintain high quality in deliverables.
• Support the development and maintenance of consistent standards and quality control of Credit Risk consulting methodologies, driving best practices and efficiency.
• Create consulting practice materials (business cases, pitch decks, strategy frameworks, and other assets) to scale reach and impact.
• Flexible travel to client locations across SMT markets for project delivery (approximately 30%).
• This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

• 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 fields such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred.
• Domain expertise in Credit Risk Management with deep understanding of the credit risk industry, regulatory framework and best practices.
• Understanding of credit risk model development, decisioning strategy definition and implementation, and regulatory reporting.
• Understanding of the consumer credit risk landscape in AP preferred.
• Strong business acumen with ability to solve business problems through data-driven quantitative methodologies.
• Good understanding of banking data; able to investigate and analyze database and data processing problems.
• Self-motivated, results-oriented with strong analytical and problem-solving skills; ability to think creatively and strategically.
• Excellent communication, storytelling and presentation skills.
• Detail-oriented; maintain high quality/rigor in deliverables, reports and data analysis.
• Proven ability to translate analytics output into actionable recommendations and present ideas to stakeholders; able to tailor data-driven results to various audience levels. Proficiency in PowerPoint and Excel.
• Team player with collaborative, diplomatic, and flexible style; ability to work across cultures. Uphold high ethical standards and mutual respect.
• Exhibit intellectual curiosity and a commitment to continuous learning.

• Proficiency in statistical techniques such as Linear/Logistic Regression, Decision Trees, Random Forests, Markov Chains, SVM, Neural Networks, Clustering, PCA, Factor Analysis, etc.
• Proficiency in modeling tools and programming skills in Python and SQL; additional experience in R and/or SAS.
• Domain expertise in Fraud Risk Management (prevention, detection, response).

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.