Risk Data Science Manager

Visa

Bengaluru, India
Hybrid
Machine learning solutions
Risk analytic solutions
Predictive and prescriptive models
Visa is seeking a Risk Data Science Manager for their Bengaluru office, focusing on developing data-driven strategies to manage credit, fraud, and operational risks. The ideal candidate will possess extensive experience in machine learning, risk analytics, and project management within the payments industry

Job Summary

  • As a Data Science Risk Manager, you will participate in building predictive and prescriptive models, and develop context-based prototypes and high-impact storyboards that promote data-driven strategies and solutions for Visa clients.
  • Work with a broader team that consists of Business Managers, Consultants and Data Scientists from both Visa and client organizations to strategize, co-create, deploy and reap the benefits of data-driven solutions.
  • Keep Visa at the forefront of technological advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights.

Matching Summary

Match Score: 85

Visa is seeking a Risk Data Science Manager for their Bengaluru office, focusing on developing data-driven strategies to manage credit, fraud, and operational risks. The ideal candidate will possess extensive experience in machine learning, risk analytics, and project management within the payments industry.

Skills & Requirements

Must-have

  • Machine Learning solutions
  • risk analytic solutions
  • predictive and prescriptive models
  • data-driven strategies
  • payments, retail banking, or retail merchant industries
  • AI based advanced prediction algorithms
  • distributed computing environments / big data platforms

Nice-to-have

  • innovative and analytical thinker
  • context-based prototypes
  • high-impact storyboards
  • cutting-edge tools and techniques
  • constructive approach to business challenges
  • role model for the organization

Key Requirements

  • Minimum of 6+ years of expertise
  • Post-graduate degree (Masters or PhD)
  • Excellent knowledge, experience and understanding of quantitative techniques
  • Experience planning, organizing, and managing multiple large projects

Work Rights

Not specified

Tailored Resume

Cover Letter