Manager, Risk Advisory

Visa · Fintech · Bengaluru, India, IN

Visa is seeking a Manager for their Risk Advisory Practice, focusing on Fraud Risk. The role involves delivering Fraud Risk advisory services to clients, developing data-driven fraud risk solutions (including prediction/scoring models), and optimizing fraud strategies. The ideal candidate will have strong analytical experience, proficiency in statistical techniques and programming tools (SAS/Hadoop/SQL/Python), and experience in fraud risk analytics within the banking or consumer lending industry.

What you'd actually do

  1. Contribute to the delivery of Fraud Risk advisory engagements across Asia Pacific
  2. Collaborating with the client’s team (both internal and external) to understand the business problem and desired business outcome
  3. End-to-end delivery of multiple projects within timelines, scope and budget requirements
  4. Ensuring all project documentation is up to date and maintain the highest levels of quality in deliverables
  5. Develop Fraud Risk data driven solutions (Authorization and Fraud Optimization, Fraud Risk Prediction/Scoring)

Skills

Required

  • 8+ years of analytical experience in applying statistical solutions to business problems
  • 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.)

Nice to have

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

What the JD emphasized

  • Fraud Risk Prediction/Scoring
  • statistical models based on client data to predict the likelihood of fraud occurrence
  • applying statistical solutions to business problems
  • Experience in fraud risk analytics (model development, strategy and framework, scorecard development, documentation, validation, governance, implementation and automation etc.)

Other signals

  • Develop Fraud Risk data driven solutions
  • Fraud Risk Prediction/Scoring
  • statistical models based on client data to predict the likelihood of fraud occurrence
  • applying statistical solutions to business problems
  • Linear and Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural Networks, Clustering, Principal Component Analysis, Factor analysis