At a Glance
- Tasks: Run AI models to find security vulnerabilities and build detection methodologies.
- Company: Join the world's leading secure financial messaging provider, SWIFT.
- Benefits: Inclusive culture, diverse environment, and opportunities for personal growth.
- Other info: Flexible recruitment process; we value diverse perspectives and encourage all to apply.
- Why this job: Make a real impact in securing global financial systems with cutting-edge AI technology.
- Qualifications: Experience in AI security testing and strong software engineering skills required.
The predicted salary is between 66150 - 80850 £ per year.
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.
- 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 accessibility-Sysgroup@swift.com 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.
Applied AI Security Engineer in London employer: SWIFT
At Swift Temps Ltd, we pride ourselves on being an excellent employer, offering a supportive work culture that values teamwork and customer service excellence. Our employees enjoy competitive pay rates, opportunities for professional growth, and the chance to work in the beautiful regions of Devon and Cornwall, where every day brings new challenges and rewards. Join us for a fulfilling career where your contributions are recognised and appreciated.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Security Engineer in London
✨Get Involved in the Cybersecurity Community
Diving into the cybersecurity community is key for landing that full-time gig. Join forums like Reddit's r/cybersecurity or attend local meetups to connect with industry veterans and other job seekers. Networking is everything in this field—don’t just be a passive lurker!
✨Show Off Your Skills with Capture the Flag Competitions
Participate in Capture the Flag (CTF) competitions; these are not just a fun way to boost your skills but also a chance to showcase your talent to potential employers. Many companies, including SWIFT, love seeing candidates who actively engage in these challenges.
✨Tailor Your Online Presence
Make sure your LinkedIn and any professional profiles reflect your cybersecurity expertise. Share your projects, whether they’re personal or from a previous role, to catch the eye of hiring managers. This is how they’ll find your passion and commitment to the field!
✨Apply Directly Through SWIFT
Don’t forget to head straight to our website and check out any openings for cybersecurity roles at SWIFT. Applying directly can sometimes give you an edge, especially if you can mention that you've been following our work or engaging in the community.
We think you need these skills to ace Applied AI Security Engineer in London
Some tips for your application 🫡
Show off your technical skills:In cybersecurity, it's crucial to highlight your technical prowess. Make sure your CV showcases specific skills like network security, penetration testing, or threat analysis. If you have relevant certifications (like CEH or CISSP), pop those on the front page to grab attention!
Tailor your portfolio for the role:Even for a full-time role, a portfolio can set you apart. If you've worked on any cybersecurity projects—be it CTF challenges, security assessments, or research papers—include these in your application. This demonstrates not just your skills, but also your hands-on experience!
Use real-world examples:When writing your cover letter, don’t just stick to your qualifications. Share real-world examples of how you’ve tackled security issues or vulnerabilities. This gives the hiring team at SWIFT insight into your practical problem-solving abilities and makes your application memorable.
Demonstrate your passion for cybersecurity:Cybersecurity is an ever-evolving field, so show us that you’re always learning! Mention any recent courses, webinars, or industry events you’ve attended. This not only exhibits your enthusiasm but also signals to SWIFT that you’re committed to staying ahead in the game.
How to prepare for a job interview at SWIFT
✨Sharpen Your Technical Skills
For a role in cybersecurity, it’s essential to be up-to-date with the latest tools and techniques. Brush up on your knowledge of firewalls, intrusion detection systems, and vulnerability assessment tools. Be ready to discuss specific scenarios where you’ve applied these skills, as hands-on experience can really set us apart in interviews.
✨Prepare for Scenario-Based Questions
Expect the interviewers at SWIFT to throw in some hypothetical situations to see how you’d handle them. Think about common security breaches or incidents and be prepared to explain how you would respond. This not only shows your problem-solving skills but also your understanding of real-world cybersecurity challenges.
✨Highlight Your Certifications
Certifications like CompTIA Security+, CISSP, or CEH can give you a significant edge in a full-time role in cybersecurity. Make sure to mention these during your interview and be prepared to discuss what you learned through those certifications and how they relate to the position at SWIFT.
✨Show Your Passion for Cybersecurity
Since you’re going for a full-time gig, showing genuine enthusiasm for the field can make all the difference. Share any personal projects, blogs, or communities you’re part of that relate to cybersecurity. This not only showcases your passion but also your commitment to staying engaged in this ever-evolving field.