About the job
About PortSwigger:
At PortSwigger, we believe in a core principle: security should empower individuals rather than hinder their efforts. Our innovative tools are designed to assist security teams and developers in identifying and rectifying genuine vulnerabilities that truly matter. We take pride in our meticulously crafted products, which are underpinned by extensive research and a steadfast commitment to enhancing online safety for everyone.
As a thriving, engineering-driven organization, we empower small teams to undertake impactful work in a manner that suits them best. Our culture is fueled by curiosity, defined by craftsmanship, and strengthened by our mutual support as we grow together. Here, you'll find genuine autonomy, clear objectives, and the freedom to challenge the status quo, all while receiving thoughtful mentoring in a learning-oriented environment.
The Finance Tribe:
The Finance Tribe plays a crucial role in guiding PortSwigger towards informed decision-making. We work closely with teams across the organization to deliver accurate and reliable insights into the company's current performance and future potential. By merging analytical financial expertise with a deep understanding of our business operations, we empower leaders to make wise investments, act swiftly, and concentrate on what truly matters.
Your Responsibilities:
- Construct, maintain, and enhance financial and analytical models reflecting genuine business drivers utilizing tools such as SQL, BI platforms (e.g., ThoughtSpot), Google Sheets, Excel, and AI.
- Develop and optimize revenue forecasting models to ensure projections accurately represent business performance and key assumptions.
- Translate complex, ambiguous inquiries into structured models and analyses that facilitate informed decision-making.
- Collaborate with stakeholders across the organization to grasp context, assumptions, and requirements.
- Analyze data, validate assumptions, and present insights transparently and truthfully.
- Enhance existing models and processes by identifying opportunities for simplification, automation, and systematization, including data integration from BI tools and experimenting with AI-driven workflows.
- Explore new tools and techniques, including AI, to enhance modeling and planning workflows.
- Communicate findings clearly and accessibly to non-financial audiences.

