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Swift

Applied AI Security Engineer

LocationLondon, United Kingdom
Typefull-time
SenioritySenior
Experience6–10 yrs
Company size5,001–10,000 people
First seenOct 6, 2026 · 5d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have17
University degree in Computer Science, Information Systems, or a related field; or equivalent work experience
Typically has 6 to 10 years of relevant work experience
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: 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
Build the integration that plugs AI-assisted detection into how SWIFT develops software, working alongside existing security tooling
Find the vulnerability classes current tooling structurally cannot see, and build the detection approach to catch them ahead of where the rest of the industry is
Work entirely within SWIFT's governed access and tooling controls
Defend technical decisions under scrutiny from AI and Security peers, and document the methodology so it survives
Demonstrated hands-on experience applying AI/LLM models to real security testing or vulnerability research
Strong software engineering ability: can read, navigate, and reason about large, unfamiliar codebases directly, across multiple languages
Deep working knowledge of application security fundamentals: common vulnerability classes, exploit mechanics, and how static, dependency, and dynamic analysis tools actually work and where they fail
Proven ability to build working tools and pipelines from scratch, not just configure existing ones: scripting, automation, and integration work is core to this role
Experience designing and running structured technical evaluations or experiments (model comparisons, A/B testing, or equivalent) and drawing defensible conclusions from the results
Comfortable operating with significant ambiguity and no established playbook; able to originate a technical approach rather than execute a known one
Clear technical communication: able to document and defend complex technical decisions to peer security engineers under scrutiny
Nice to have4
Masters degree an asset
Experience working in a regulated or high-assurance environment (financial services, critical infrastructure, defense, healthcare, or similarly regulated sectors)
Familiarity with multiple frontier AI model families (e.g., GPT-class, Claude-class) and their differing strengths for security-related tasks
Prior experience contributing to or building a security capability that didn't previously exist, rather than operating an established one
Skills
Python
GPT
Claude
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.
Domains
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.
Build the integration that plugs AI-assisted detection into how SWIFT develops software, working alongside existing security tooling
Find the vulnerability classes current tooling structurally cannot see, and build the detection approach to catch them ahead of where the rest of the industry is
Work entirely within SWIFT’s governed access and tooling controls
Defend technical decisions under scrutiny from AI and Security peers, and document the methodology so it survives
Required Qualifications/Skills
Demonstrated hands-on experience applying AI/LLM models to real security testing or vulnerability research
Strong software engineering ability: can read, navigate, and reason about large, unfamiliar codebases directly, across multiple languages.
Deep working knowledge of application security fundamentals: common vulnerability classes, exploit mechanics, and how static, dependency, and dynamic analysis tools actually work and where they fail.
Proven ability to build working tools and pipelines from scratch, not just configure existing ones: scripting, automation, and integration work is core to this role
Experience designing and running structured technical evaluations or experiments (model comparisons, A/B testing, or equivalent) and drawing defensible conclusions from the results.
Comfortable operating with significant ambiguity and no established playbook; able to originate a technical approach rather than execute a known one.
Clear technical communication: able to document and defend complex technical decisions to peer security engineers under scrutiny.
Preferred Qualifications
Experience working in a regulated or high-assurance environment (financial services, critical infrastructure, defense, healthcare, or similarly regulated sectors).
Familiarity with multiple frontier AI model families (e.g., GPT-class, Claude-class) and their differing strengths for security-related tasks.
Prior experience contributing to or building a security capability that didn’t previously exist, rather than operating an established one
What we offer
We give you the freedom to be yourself. We are creating an environment of unique individuals – like you – with different perspectives on the financial industry and the world. A diverse and inclusive environment in which everyone’s voice counts and where you can reach your full potential.
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 [email protected] or indicate this in your application.
Please note that this mailbox is not monitored for general recruitment enquiries and should only be used for accessibility or accommodation-related requests (for example related to vision, hearing or neurodiversity).
All requests are confidential and will not affect your candidacy.
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.
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