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About the Role

We are the world’s leading provider of secure financial messaging services, supporting the global economy by enabling secure and reliable value transfer across borders. We are constantly evolving and innovating to meet the demands of an ever-changing financial landscape.

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, including validating findings, de-duplicating, and routing issues.
• Run head-to-head technical evaluations of frontier models on real detection tasks to determine which models and techniques SWIFT relies on.
• Build the integration to incorporate AI-assisted detection into SWIFT's software development process, working alongside existing security tooling.
• Find vulnerability classes current tooling cannot see and build detection approaches to address them.
• Work entirely within SWIFT's governed access and tooling controls.
• Defend technical decisions under scrutiny from AI and Security peers and document the methodology.

Requirements

• Demonstrated hands-on experience applying AI/LLM models to real security testing or vulnerability research.
• Strong software engineering ability to read, navigate, and reason about large, unfamiliar codebases across multiple languages.
• Deep working knowledge of application security fundamentals, including common vulnerability classes, exploit mechanics, and the workings and limitations of static, dependency, and dynamic analysis tools.
• Proven ability to build working tools and pipelines from scratch, including scripting, automation, and integration.
• Experience designing and running structured technical evaluations or experiments and drawing defensible conclusions.
• Comfortable operating with significant ambiguity and originating technical approaches.
• Clear technical communication skills to document and defend complex technical decisions.

Skills

• AI/LLM models
• Security testing
• Vulnerability research
• Software engineering
• Application security
• Scripting
• Automation
• Integration
• Technical evaluation
• Technical communication

Location

• Belgium

Work Type

• Full-time

Experience Level

• 6 to 10 years of relevant work experience

Education Level

• University degree in Computer Science, Information Systems, or a related field; or equivalent work experience.
• Masters degree an asset.

Benefits

• Freedom to be yourself
• Diverse and inclusive environment
• Opportunity to reach full potential
• Commitment to an inclusive and accessible recruitment process

About the Company

• 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.
• 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 innovate diligently, test exhaustively, then implement fast.
• Swift now has a presence in 200+ countries and legal territories to serve a community of more than 12,000 banks and financial institutions.

Equal Opportunity

• We are committed to an inclusive and accessible recruitment process. If you require a reasonable accommodation related to accessibility during your application or interview, please contact accessibility-Sysgroup@swift.com or indicate this in your application.
• Don’t meet every single requirement? At Swift, we are dedicated to building a workplace where people can bring their full selves and ideas to the team, so if you are excited about this role, we encourage you to apply even if you do not meet every single qualification.