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Data Science - Payment & Fraud Analytics
San Jose, CA
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COMPANY OVERVIEW:


This company accelerates their clients towards a knowledge-powered, sustainable competitive advantage, creating differentiated customer experiences and products with enhanced efficiency and speed. Their 15,000+ consultants support several industries including: Scientific Research, Education, Finance, Retail & CPG, Healthcare & Life Sciences, Supply Chain and Media & Technology.


They combine data-driven insights with enterprise know-how to create knowledge unique to an enterprise and its specific problems. This "specific knowledge” is embedded into digital technology & AIs and operationalized with human experts-in-loop, who facilitate iterative improvements in the technology while navigating the complexity that it can’t yet address.


POSITION OVERVIEW:


Use data analysis and machine learning to identify, prevent, and mitigate fraudulent activities related to payments. This includes analyzing large datasets, developing fraud detection models, and collaborating with various teams to implement and improve fraud prevention strategies. 


PREFERRED PROFILE:


  • 3+ Years of Banking / Payments analytics experience preferably in a consulting set-up.
  • Strong experience of developing and deploying Predictive/ML solutions.
  • Proficiency in SQL, Tableau, Python.
  • Strong experience in Big Data Technologies like Hadoop, Spark or similar platforms.
  • Excellent communication skills and strong stakeholder management experience.
  • Strong problem-solving skills.
  • Proficiency in Mandarin is a plus. 


LOCATION: San Jose, CA


Job ID# 3321931


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