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Business Analyst

Reality Defender

Reality Defender

IT, Sales & Business Development
New York, NY, USA
Posted on Apr 18, 2025

About Reality Defender

Reality Defender provides accurate, multimodal AI-generated media detection solutions to enable enterprises and governments to identify and prevent deepfake-driven fraud in real time. The winner of RSA's 2024 Innovation Sandbox, a Y Combinator graduate, and backed by DCVC, Accenture, IBM, and Booze Allen Hamilton, Reality Defender is the first company to pioneer multimodal and multi-model detection of AI-generated media. Our web app and platform-agnostic API built by our research-forward team ensures that our customers can swiftly and securely mitigate fraud and cybersecurity risks in real time with a frictionless, robust solution.

Youtube: Reality Defender Wins RSA Most Innovative Startup

Reality Defender's solutions stand out because they are:

  • Proven: Accurate in the real world and continuously engineered to be resilient

  • Multimodal: Detects impersonations in any multimedia format

  • Real Time: Automated alerting of ongoing deepfake attempts

  • Integrated: Flexible deployment options across existing tech stack and applications

Role and Responsibilities

  • Support the CEO and executive leadership team in formulating and executing strategic initiatives.

  • Prepare and deliver professional presentations and reports to clearly communicate strategic recommendations and business insights.

  • Conduct financial modeling and analysis to support strategic planning, investment decisions, and operational improvements.

  • Attend leadership meetings to provide analytical insights, capture decisions, and facilitate effective follow-up.

  • Provide administrative support as needed, including scheduling meetings, organizing materials, and coordinating executive activities.

About You

  • Minimum 3 years of industry experience

  • Bachelor's degree in Business, Finance, Economics, Mathematics, or related analytical field.

  • Strong proficiency in financial modeling and data analysis.

  • Excellent presentation, communication, and interpersonal skills.

  • Highly organized, detail-oriented, and able to manage multiple tasks simultaneously.

  • Proficiency with Microsoft Excel, PowerPoint, and other analytical tools.

  • Discretion and professionalism in handling sensitive and confidential information.