Senior Financial Analyst, Payments
New
USFull-TimeSenior
SalaryCompetitive base salary with performance-based bonus eligibility
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Job Details
- Experience
- 4–6 years
- Required Skills
- TableauMicrosoft ExcelData analyticsPowerPoint
Requirements
- Bachelor’s degree in Finance, Economics, Statistics, Business Analytics, or a related quantitative field.
- 4–6 years of experience in corporate finance, payments analytics, or a highly analytical finance role.
- Strong expertise in financial modeling, scenario analysis, and quantitative data interpretation at scale.
- Advanced proficiency in Excel (including pivot tables) and strong presentation skills using PowerPoint.
- Experience working with cross-functional teams including Finance, Product, Engineering, Marketing, and Customer Operations.
- Strong business acumen with the ability to translate complex data into clear, actionable insights for senior leadership.
- Ability to thrive in fast-paced, dynamic environments with competing priorities and evolving business needs.
- Experience with data visualization tools (e.g., Tableau or similar) and exposure to payments systems is a strong plus.
- MBA or advanced quantitative degree is a plus but not required.
Responsibilities
- Analyze large-scale payment transaction data to identify trends in acceptance rates, chargebacks, fraud patterns, and processing performance across multiple payment channels.
- Build and maintain financial and statistical models to forecast key payment KPIs, including conversion, fraud rates, and customer lifetime value drivers.
- Monitor payment performance across processors, card networks, and gateways, proactively recommending optimization strategies and allocation adjustments.
- Partner with engineering and product teams to support implementation of payment system enhancements and operational improvements.
- Develop dashboards, reporting tools, and analytical frameworks to support ongoing monitoring of payment health and business performance.
- Present insights, risks, and recommendations to senior stakeholders to guide strategic and operational decision-making.
- Collaborate cross-functionally to improve fraud prevention, payment optimization, and e-commerce operational efficiency.
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