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NICE Senior Data Scientist Actimize 
India, Maharashtra, Pune 
35663167

20.04.2025

How will you make an impact?

  • Analyze transaction data and customer behavior to identify patterns indicative of fraudulent activity.
  • Develop and deploy data-driven fraud prevention rules, logic, and models to mitigate risk effectively.
  • Continuously monitor and refine existing fraud detection models based on emerging trends and feedback.
  • Design and implement automation solutions to enhance fraud monitoring processes and support scalability.
  • Communicate with clients and partner banks to align on fraud prevention strategies and share actionable insights.
  • Work with product and dev and other teams in Unit to lead and deliver strategic and complex projects in the Fraud prevention domain.

Have you got what it take:

  • At least 5 years of experience in data analysis, preferably in the risk or fraud domain within the fintech industry.
  • High proficiency in SQL – Must. Experienced in writing complex queries and analyzing large datasets.
  • High proficiency in Python for data analysis – Must. Skilled in using Python libraries such as Pandas for data analysis and research, automation, and developing fraud detection logic.
  • High proficiency in English and Strong written and verbal communication skills to effectively interact with clients, partners, and internal teams.
  • Advantage: Understanding of the US financial systems – Familiarity with banking, payments, or e-commerce systems and processes.
  • Advantage: Experience with financial fraud prevention strategies.
  • Advantage: Ability to work independently, take initiative, and drive projects from ideation to completion.
  • Great team player with desire to mentor junior analysts and Data scientists.

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