Description

As a Senior Applied Scientist in Risk Management, you will engage in data exploration and model development to address fraud patterns and improve payment systems. This role combines research with practical applications, ensuring a seamless experience for legitimate customers.

Requirements

• •Passion for researching and exploring new machine learning methods and data sources
• •Hands-on experience in productionizing ML algorithms
• •Collaboration and teamwork skills in a cross-functional environment
• •Ability to deal with ambiguity and pragmatic problem-solving approach
• •Proficiency in Python and experience with large-scale datasets using Apache Spark
• •Experience in payments, risk, or fraud
• •Recognition of domain knowledge and business acumen as critical for effective solutions

Tasks

• •Explore deep data sets
• •Develop machine learning models
• •Deploy and monitor models
• •Translate research findings into real-time systems
• •Identify and analyze fraud patterns
• •Balance customer experience with risk management
• •Drive innovation in machine learning features
• •Create scalable machine learning pipelines
• •Engage with the applied science community

Tools & Technologies

Benefits