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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in securing AI/ML models and pipelines, with a strong focus on implementing security controls and automation for AI/ML security testing. Proficient in collaborating with cross-functional teams to enhance security practices throughout the AI/ML development lifecycle.
Highest-signal resume keywords
AI/ML SecurityApplication SecuritySecurity Tools for AI/MLPython ScriptingThreat Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Security Controls DesignAI/ML Vulnerability AssessmentAutomation Pipeline DevelopmentSASTDASTDependency ScanningModel RobustnessData IntegrityAdversarial Attack SimulationAI/ML SDLC Security
Soft Skills
CollaborationTraining FacilitationCommunication
Tools & Technologies
Adversarial Robustness ToolboxAI Security Tools
Certifications & Qualifications
AIRTP+CAISFMicrosoft AI Security FundamentalsAWS Certified Security – SpecialtyGIACCISSPCEH
Industry Keywords
AI/ML Security ThreatsAdversarial AttacksModel InversionData PoisoningRed Teaming
Tech Stack
Tools & technologiesAWSPythonSDLC
About the role
Key responsibilities & impact- Lead the design and implementation of security controls for AI/ML models, pipelines, and data flows.
- Ensure coverage of AI/ML and application vulnerabilities using SAST, DAST, dependency scanning, and specialized AI security tools.
- Build and maintain automation pipelines for AI/ML security testing and monitoring.
- Partner with CISO functions, Engineering, Product, and Data to embed security into AI/ML development lifecycles.
- Support detection, triage, and remediation of AI/ML-specific security incidents.
- Facilitate secure development training focused on AI/ML risks and best practices.
- Track and report status of vulnerabilities, including AI/ML-specific metrics (e.g., model robustness, data integrity).
Requirements
What you’ll need- 5 to 8 years in information security, with significant experience in application security and AI/ML security.
- Hands-on experience securing AI/ML models, pipelines, and data within the AI/ML SDLC.
- Familiarity with common AI/ML security threats (adversarial attacks, model inversion, data poisoning).
- Experience with security tools for AI/ML (e.g., Adversarial Robustness Toolbox).
- Mandatory or scripting experience (Python preferred; experience with AI/ML frameworks a plus).
- Experience with threat modeling and AI/ML red teaming exercises, including prompt injection and adversarial attack simulations, is a plus.
- Relevant certifications (e.g., AIRTP+, CAISF, Microsoft AI Security Fundamentals, AWS Certified Security – Specialty, GIAC, CISSP, CEH are highly desirable).
- Experience working directly with software developers and data scientists to improve code/model security.
Benefits
Comp & perks- Unlimited vacation, subject to local regulations and business priorities.
- Hybrid working arrangements and inclusive policies such as paid time off for voting, bereavement, and sick leave.
- Access confidential one-to-one support through our Employee Assistance Program.
- Connect with our network of Wellbeing Champions and Gather Groups.
- Monthly events and initiatives designed to help you thrive—inside and outside of work.
- Medical, life and disability insurance.
- Retirement plans.
- Lifestyle and other benefits.
- Paid time off for volunteering.
- Donation-matching opportunities to support causes that matter to you.
- Involvement in inclusion communities such as Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, and Women@Finastra.
- Access online learning and accredited courses through our Skills & Career Navigator tool.
- Participation in our global recognition program, Finastra Celebrates, and employee surveys to help shape our culture.
