Overview
The Role
Be at the forefront of AI security research, specifically focused on protecting AI systems in financial services. You’ll discover vulnerabilities in AI models, design defenses, and help establish NexusAI as the thought leader in secure AI for payments.
This is a rare opportunity to:
Define a new field (AI security in payments) Do offensive security on cutting-edge AI systems Publish research that shapes the industry Protect billions in transactions from AI-specific attacks
What You’ll Do
AI Red Teaming (40%)
Conduct adversarial attacks on our LLMs and fraud models Test for prompt injection, jailbreaking, model extraction Simulate real-world attack scenarios (fraudsters manipulating AI) Document vulnerabilities and work with engineering to fix Perform quarterly security assessments for customers
Security Research (30%)
Research novel AI attack vectors in payment systems Develop defensive techniques (adversarial training, input validation, output filtering) Build tools for automated AI security testing Stay current on AI security research (papers, conferences, threat intelligence) Contribute to open source AI security projects
Thought Leadership (20%)
Publish research findings (blog posts, white papers, academic papers) Present at security conferences Contribute to AI security standards and frameworks Build Moofwd reputation as AI security expert Engage with security community (Social media)
Customer Engagements (10%)
Present red team findings to customer CISOs Provide AI security guidance and best practices Support sales process with technical credibility Deliver training on AI security to customer teams
What You Bring
Required:
3+ years in security research or offensive security Deep understanding of ML/AI systems (architectures, training, inference) Hands-on experience with adversarial ML or AI security Strong Python skills + ML frameworks (PyTorch, TensorFlow) Experience with penetration testing methodologies Excellent written and verbal communication (research, reports, presentations)
Strongly Preferred:
Experience attacking or defending LLMs (prompt injection, jailbreaks, model extraction) Background in financial services security or fraud Published security research or CVEs discovered Speaking experience at security conferences Certifications: OSCP, GPEN, CEH, or similar CTF competition experience or bug bounty hunting
Nice to Have:
PhD or MS in Computer Science, Security, or ML Experience with federated learning or privacy-preserving ML Knowledge of cryptography and secure computation Familiarity with payment systems and PCI-DSS Open source contributions to security tools
Job Type: Full-time
Pay: €45,000.00-€75,000.00 per year
Benefits:
Company pension Private medical insurance Work from home
Ability to commute/relocate:
Dublin, County Dublin: reliably commute or plan to relocate before starting work (required)
Application question(s):
Do you currently have the legal right to work in Ireland for this role without requiring employer sponsorship now or in the future?
Experience:
Security analysis: 3 years (required) Python: 3 years (required) Machine learning: 3 years (required)
Work authorisation:
Ireland (required)
Work Location: In person
Company:
MOOFWD LIMITED
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
