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Fraud Risk Consulting Manager

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

Team Summary

Visa Consulting & Analytics (VCA) is Visa's consulting division, serving Visa's clients (including card issuers, acquirers and merchants) and solving their strategic problems focused on improving performance and profitability. 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 geographically focused teams and the Center of Excellence (COE) team, which provides expertise in specific industry or functional verticals (Digital, Risk, Business Solutions, Acquiring & Merchant)

What a Fraud Risk Consulting Manager, Visa Consulting & Analytics does at Visa:

The VCA Risk team is responsible for delivering Risk advisory services to Visa’s clients (Issuers, Acquirers and Merchants) across Fraud Risk for Hong Kong & Macau market and will contribute to the delivery of Fraud Risk advisory engagements. This individual will bring expertise in both the Fraud Risk functional domain and in risk analytics gained as Risk practitioner and/or a data scientist within a bank and/or a specialized consulting firm. We are looking for a motivated, analytically minded individual with a track record of using Risk expertise to unlock business value.

Key responsibilities:

  • Contribute to the delivery of Fraud Risk advisory engagements for Hong Kong & Macau
  • Collaborating with the client’s team (both internal and external) to understand the business problem and desired business outcome
  • 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
  • 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 and Data modeling

Why this is important to Visa

With a rapid change in the payment landscape, new regulations around Open banking and Open data and the emergence of new Fintech players – the payment ecosystem is rapidly evolving, and our clients are looking to Visa as the payment experts to help them navigate through the opportunities and challenges that these changes pose. Visa with its global reach and rich transaction data set is ideally positioned to assist merchants solve their strategic business problems and drive growth.

Projects you will be a part of:

The nature of projects this role will play a key role in vary; this would include helping issuers and acquirers solve their most strategic business problems:

  • Fraud & Authorization Optimization - Define optimal authorization strategy for payments transactions with appropriate risk controls
  • Fraud Risk Prediction/Scoring - Build statistical models based on bank’s data to predict the likelihood of Fraud events occurring

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Specific skill set and experience required:

Technical:

  • Candidate with 7+ years of analytical experience in applying statistical solutions to business problems
  • 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/Salford SPM/Hadoop/R/SQL/Python/Hive
  • 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 banking / consumer lending industry preferred
  • Experience in fraud risk analytics (model development, strategy and framework, scorecard development, documentation, validation, governance, implementation and automation etc.)
  • Demonstrated ability to innovate solutions to solve business problems
  • Relevant experience shall include:
    1. Deep domain expertise in Fraud Risk
    2. Hands on experience of risk analytical models (e.g. fraud prediction)
    3. Understanding of the consumer Fraud risk landscape in AP
    4. Understanding of the implications of digital transformation on fraud risk management
    5. Expertise in Fraud Management (prevention, detection, response)

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 oriented, 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 best candidate is expected to ensure highest level of quality/rigor in deliverables, reports and data analysis
  • 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.

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