Risk score definition for mobile wallet

We are seeking a highly skilled and experienced risk expert to lead the development of a robust risk scoring system for our mobile wallet platform. The selected candidate will play a pivotal role in defining and implementing a comprehensive risk assessment framework that leverages transactional data, user behavior patterns, and other relevant factors to identify and mitigate potential fraud risks associated with credit card cash-in transactions.

Key Responsibilities:

Risk Factor Identification: Collaborate with stakeholders to identify and prioritize key risk factors relevant to credit card cash-in transactions within the mobile wallet ecosystem. Evaluate the impact of each risk factor on transaction security and user trust.

Data Analysis and Modeling: Conduct thorough analysis of transactional data, user profiles, and credit card information to extract meaningful insights and develop predictive models for risk assessment. Utilize advanced statistical and machine learning techniques to build robust risk scoring algorithms.

Model Development and Validation: Design and implement risk scoring algorithms tailored to the specific requirements of our mobile wallet platform. Train and validate the models using historical transaction data to ensure accuracy and reliability in predicting fraudulent activities.

Real-Time Monitoring and Alerting: Integrate the risk scoring system into our mobile wallet platform to enable real-time monitoring of credit card cash-in transactions. Develop alerting mechanisms to notify users and administrators of suspicious activities and potential security breaches.

Documentation and Reporting: Document the entire process of risk score definition, including data preprocessing steps, feature selection methodologies, model development techniques, and validation results. Provide regular updates and comprehensive reports to management on the performance and effectiveness of the risk scoring system.

Requirements:

Proven expertise in risk management, fraud detection, or related fields, with a strong understanding of credit card transaction processing and mobile wallet technologies.
Experience in data analysis, statistical modeling, and machine learning, with a track record of developing and implementing predictive models for risk assessment.
Excellent communication and collaboration skills, with the ability to work closely with cross-functional teams and stakeholders to drive consensus and alignment on risk assessment strategies.
Strong problem-solving abilities and attention to detail, with a proactive and results-driven approach to identifying and mitigating risks within the mobile wallet ecosystem.