Director, Risk CPL

Tink

Tink

Singapore

Posted on May 5, 2026
About Us

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

Key responsibilities for the Director, Fraud Risk:

  • Project Lead and contribute to the delivery of Fraud Risk advisory engagements across Singapore, Malaysia, and Thailand
  • Business development for Fraud Risk engagements across the cluster
  • Provide thought leadership with C-suite on the client side and developing ongoing dialogue and rapport
  • Collaborating with the client’s team (both internal and external) to understand the business problem and desired business outcome
  • Oversee end-to-end delivery of multiple projects within timelines, scope and budget requirements with a level of hands-on execution
  • Ensuring all project documentation is up to date and maintain the highest levels of quality in deliverables
  • Develop Fraud Risk data driven solutions (Authorization and Fraud Optimization, Fraud Risk Prediction/Scoring).
  • Support the development and maintenance of consistency, standards and quality control of Fraud Risk consulting methodologies, ensuring world-class best practices and efficiency through economies of scale
  • Participate to the expansion of Fraud Risk Managed Service

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Technical:

Candidate with 10+ years of analytical experience in applying statistical solutions to business problems

Graduate / Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred

Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/SQL/Python

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

Experience in fraud risk analytics (model development, strategy and framework, scorecard development, documentation, validation, governance, implementation and automation etc.)

Experience In Banking / Consumer Lending Industry Preferred

Domain expertise in Fraud Risk Management (prevention, detection, response) preferred

Understanding of the consumer Fraud risk landscape in AP preferred

Business

Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor

Good business acumen with strong ability to solve business problems through data driven quantitative methodologies

Team player, collaborative, diplomatic, and flexible style. Complete team player, able to work across cultures, upholds and promotes highest ethical standards and mutual respect in the workplace

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

Detailed oriented, the candidate is expected to ensure highest level of quality/rigor in deliverables, reports & data analysis

Demonstrated ability to innovate solutions to solve business problems

Exhibit intellectual curiosity and strive to continually learn

Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically

Self-motivated, results oriented individual with the ability to handle numerous projects concurrently

Excellent communication, story-telling and presentation skills

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.