We are looking for a Senior Risk & Fraud Data Analyst to play a pivotal role in safeguarding financial institutions from fraudulent activities. This role focuses on leveraging advanced analytics and Machine learning know-how to build and optimize fraud detection classification models and strategies and support our clients and banking partners in fraud mitigation.

In Short

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.

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.
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.

Benefits

Join an ever-growing, market disrupting, global company.
Work in a fast-paced, collaborative, and creative environment.
Endless internal career opportunities across multiple roles, disciplines, domains, and locations.
Enjoy NICE-FLEX hybrid model: 2 days working from the office and 3 days of remote work each week.