Abnormal AI is hiring a Senior Financial Analyst, Corporate Finance to join our growing Finance team. This role will be pivotal in leading corporate-level financial modeling and systems optimization, enabling better decision-making through best-in-class tools and frameworks. You'll be a core contributor in building and managing driver-based models in Pigment, improving reporting workflows, and supporting scalable planning processes.
You’ll help shape financial narratives for executive leadership, build models to evaluate business performance and scenarios, and lead process improvements in reporting and planning systems like Pigment.
The ideal candidate has strong FP&A or consulting experience with a passion for systems, data structure, and model building.
- Serve as a key thought partner on system integrations, data flows, and planning tools
- Manage and enhance FP&A systems, with a focus on Pigment or similar tools, to improve reporting automation and planning workflows.
- Design and implement automation in reporting, planning, and dashboarding to improve finance team efficiency
- Champion continuous improvement in financial processes, tools, and internal controls.
- Pioneer AI solutions for the FP&A team, focused on building automation & efficiency into Pigment forecasting
- Build and maintain robust, driver-based financial models to support long-range planning, corporate budgeting and forecasting, and scenario analysis.
- Lead month-end close and variance analysis processes, ensuring accuracy and insightful commentary on corporate results.
- Partner with Accounting, Strategy, and Business Operations to deliver timely, high-quality management reporting and financial insights.
- Develop and maintain executive and Board-level reporting packages to surface business performance, risks, and opportunities
- 3+ years of Finance, Banking or Consulting Experience. Experience in financial systems (especially Pigment) is a plus.
- Advanced modeling skills and experience building scalable models in Pigment, Anaplan, or similar tools (strong preference for Pigment)
- Proficiency in Excel, SQL, and data integration principles for financial systems
- Strong analytical and problem-solving skills, with the ability to distill complex data into actionable insights.
- Demonstrated experience supporting financial planning systems, data management, and reporting automation
- High level of ownership and ability to thrive in a fast-paced, remote work environment
- Clear, confident communicator with strong collaboration skills across departments
- Experience with AI, automation, or analytics tools integrated into finance workflows
- Familiarity with SaaS business models, especially in cybersecurity or high-growth tech environments
- Prior experience in consulting, banking or other similar industries.
#LI-AW1
At Abnormal AI, certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
Top Skills
Similar Jobs
What you need to know about the Charlotte Tech Scene
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
