Revel Systems is hiring a
Payments Portfolio Analyst in United States

Summary

As a Payments Portfolio Analyst at Revel Systems, you will analyze data related to multiple payments portfolios, collaborate with senior leadership, and provide actionable recommendations based on your findings. The role requires a Bachelor's degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field, proficiency in statistical analysis and data visualization techniques, strong knowledge of the payments landscape, experience with data management and analytics tools, excellent communication skills, and the ability to thrive in a fast-paced environment.

Requirements

• Bachelor's degree in Finance, Economics, Mathematics, Statistics, Computer Science, or related field
• Proven experience in data analysis, preferably within the financial services industry
• Proficiency in statistical analysis and data visualization techniques
• Strong knowledge of the payments landscape with emphasis on pricing components and performance
• Experience with data management and analytics tools such as Excel, Domo, SFDC, SQL, Python, R, and Tableau
• Excellent communication skills with the ability to present complex findings in a clear and concise manner
• Strong attention to detail and ability to work effectively both independently and as part of a team
• Ability to thrive in a fast-paced, dynamic environment with evolving priorities and deadlines

Responsibilities

• Data Analysis - Utilize statistical methods and data visualization techniques in tandem with internal systems to analyze large datasets related to investment portfolios
• Performance Monitoring - Monitor and evaluate portfolio performance metrics, including risk-adjusted returns and volatility
• Risk Management - Identify and assess potential risks within multiple payments portfolios, such as market risk, incorrect pricing, volume volatility, silent attrition, credit risk, etc
• Strategy Development - Assist in the development and refinement of investment strategies based on data-driven insights and market trends
• Reporting - Prepare regular reports and presentations summarizing key findings, performance metrics, and recommendations for portfolio optimization
• Data Integrity - Ensure the accuracy and integrity of portfolio data by conducting regular data validation and reconciliation procedures
• Technology Utilization - Leverage data management and analytics tools, such as Excel, Domo, SFDC, SQL, Python, R, and Tableau, to streamline data processes and enhance analytical capabilities
• Collaboration - Collaborate with senior leadership , and other stakeholders to understand business requirements and tailor analyses to meet their needs
• Continuous Learning - Stay abreast of industry developments, best practices, and emerging technologies in portfolio management and data analytics

Benefits

• Work on a team of experienced and highly skilled professionals
• Employee benefits: rich healthcare options, wellness programs, referral bonus, and 401K plan
• Flexible working schedule
• Apple equipment