Real-Time Fraud Risk Data Scientist

Rain; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Rain, a fintech company in the United States, is seeking a Data Scientist to enhance fraud detection through real-time monitoring and ML models. Ideal candidates have experience in fraud risk and data analytics.

As a Data Scientist at Rain, you will design and implement real-time monitoring systems for fraud detection and risk controls. You will create predictive ML models that balance customer experience with effective fraud mitigation and work with cross-functional teams to develop dashboards

Qualifications

• Experience building fraud risk analytics pipelines.
• Experience in fraud detection systems design.
• Strong data analytics and modeling skills.

Responsibilities

• Design real-time monitoring systems for fraud detection.
• Develop predictive ML models balancing fraud mitigation and user experience.
• Collaborate with cross-functional teams to build dashboards and reports.

Skills

Fraud risk analytics

Data analytics

Job description

Rain, a fintech company in the United States, is seeking a Data Scientist to enhance fraud detection through real-time monitoring and ML models. Ideal candidates have experience in fraud risk and data analytics.

As a Data Scientist at Rain, you will design and implement real-time monitoring systems for fraud detection and risk controls. You will create predictive ML models that balance customer experience with effective fraud mitigation and work with cross-functional teams to develop dashboards