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Applied AI Security Engineer
Swift
London, GBR
Full-time
Senior · 6+ years experience
Onsite
Discovered 2 weeks ago
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ABOUT US
We’re the world’s leading provider of secure financial messaging services, headquartered in Belgium. We are the way the world moves value – across borders, through cities and overseas. No other organisation can address the scale, precision, pace and trust that this demands, and we’re proud to support the global economy.
We’re unique too. We were established to find a better way for the global financial community to move value – a reliable, safe and secure approach that the community can trust, completely. We’re always striving to be better and are constantly evolving in an ever-changing landscape, without undermining that trust. Five decades on, our vibrant community reflects the complexity and diversity of the financial ecosystem. We innovate diligently, test exhaustively, then implement fast. In a connected and exciting era, our mission has never been more relevant. Swift now has a presence in 200+ countries and legal territories to serve a community of more than 12,000 banks and financial institutions.
Education
University degree in Computer Science, Information Systems, or a related field; or equivalent work experience. Masters degree an asset.
Experience
Typically has 6 to 10 years of relevant work experience.
Job Responsibilities
- Run frontier AI models directly against SWIFT's codebases to find vulnerabilities that conventional tools miss
- Build the methodology for this work through direct experimentation.
- Build the pipeline that makes AI-assisted detection usable at scale: this includes writing the logic that validates findings, cuts duplicates, and routes real issues to remediation
- Run head-to-head technical evaluations of frontier models on real detection tasks, and let the evidence from testing decide which models and techniques SWIFT relies on.
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