Description

You will manage the development and delivery of advanced risk analytic solutions.

This role is on-site.

Responsibilities

• Develop and implement risk analytic solutions, including scoring and non-scoring models for credit, fraud, and operational risks.
• Strategize and deploy data-driven solutions in collaboration with Business Managers, Consultants, and Data Scientists.
• Build data pipelines using ETL processes, data preparation, aggregation, and analysis for business requirements.
• Manage workload for self and direct reports, providing prioritization guidance to improve process efficiency.
• Champion internal requirements around Model Risk Management, Analytics Rules, and Global Privacy standards for client delivery.

Required Skills

• 6+ years of expertise applying Machine Learning solutions to business problems with model development and production experience.
• Experience in Risk Management focused on Card and Payments, including familiarity with key Risk and Performance Indicators.
• Proficiency in Python, SQL, and statistical modeling.
• Experience with Big Data technologies, including Hadoop.
• Strong background in Predictive Modeling and Risk Analytics.
• Experience planning and managing multiple large projects with diverse cross-functional teams.
• Post-graduate degree (Masters or PhD) in Statistics, Mathematics, Data Science, Computer Science, Informatics, Economics, or Engineering.

Key Skills

Education

Any Graduate