Manager- Product/Decision Analytics (Fraud Risk Advisory)

The VCA Risk Advisory Practice team is responsible for delivering Risk advisory services to Visa s clients (Issuers, Acquirers and Merchants) across Credit Risk and Fraud Risk. The Manager Fraud Risk will report to the Director Fraud Risk, India Hub within the VCA Risk Advisory Practice team 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 for the Manager Fraud Risk:

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.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.

The candidate should be able to accommodate flexible working hours to catering to client and country time zones considering the roles Asia Pacific remit

 

Projects you will be a part of:

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

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
Fair 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
Good problem-solving skills, with demonstrated ability to think creatively and strategically
Self-motivated, results oriented individual with the ability to handle numerous projects concurrently
Good communication, story-telling and presentation skills