Analyst

• Conduct extensive data analysis using statistical and machine learning techniques to identify patterns, trends, and relationships within datasets
• Develop predictive and prescriptive models to forecast market trends, fraud, delinquency, customer behavior, and other critical business metrics
• Utilize various data sources and data preprocessing techniques to ensure data quality and integrity
• Collaborate with business leaders to understand their challenges and goals, providing data-driven insights and recommendations that drive strategic decision-making
• Identify opportunities to leverage data to improve product offerings, customer experience, and operational efficiency
• Deliver machine learning models for high-impact real world business applications and change business processes
• Design, develop, implement and maintain cutting-edge machine learning algorithms and AI solutions to optimize business processes, risk assessment, fraud detection, and portfolio management
• Explore and experiment with state-of-the-art machine learning techniques to improve accuracy and efficiency in financial analysis
• Create clear and concise data visualizations and reports to communicate complex findings to both technical and non-technical stakeholders
• Translate analytical results into actionable business insights and present findings to senior management in a compelling and easily understandable manner

Senior Portfolio Analyst

Senior Associate – Test Data Management Analyst