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.

Job Description

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.