Data Scientist - Fraud Risk

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 is a fintech company 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 focus on designing and implementing real-time monitoring systems for fraud detection and risk controls. Your role will involve creating predictive ML models that balance customer experience with effective fraud mitigation strategies.

You will work closely with cross-functional teams to develop dashboards and reports that inform business decisions. Your contributions will support the growth of Rain's payment technology by addressing unique fraud vectors and ensuring a seamless user experience.