Senior Data Scientist

Summary

Join NICE, a global leader in AI, cloud, and digital technologies, as a Senior Risk & Fraud Data Analyst. You will play a crucial role in protecting financial institutions from fraud by leveraging advanced analytics and machine learning. This position involves analyzing transaction data, developing fraud prevention models, monitoring and refining existing models, and collaborating with clients and internal teams. You will contribute to the safety and scalability of NICE's platform and work on strategic projects within the fraud prevention domain. The role requires significant experience in data analysis, proficiency in SQL and Python, and strong communication skills. NICE offers a hybrid work model (NICE-FLEX) with flexibility between office and remote work.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Understanding of the US financial systems – Familiarity with banking, payments, or e-commerce systems and processes
• Experience with financial fraud prevention strategies
• 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

Benefits

• Enjoy NICE-FLEX!
• At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week