Principal Engineer - Cybersecurity Science & Analytics
Listed on 2026-10-16
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IT/Tech
Cybersecurity, AI Engineer (Applied/Software)
Cybersecurity Science & Analytics (CSA) is a team of cybersecurity scientists, data and analytics professionals and engineers. Our mission is to harness data, analytics, AI/ML and cybersecurity science to innovate and advance HSBC's cybersecurity capabilities. We're looking for a Principal Engineer reporting directly to the Global Head of Cybersecurity Science & Analytics, to set engineering direction across CSA and help solve our most complex technical challenges at pace and at scale.,
You'll be the most senior hands‑on engineer in CSA, working across delivery teams to deliver the data platform, infrastructure and advanced analytics engineering that power Cybersecurity outcomes. Your work will influence ~150 technical staff in CSA and the wider global Cybersecurity function (~2,500) .
- Build custom security applications, APIs and data‑driven services aligned to Cybersecurity mission outcomes
- Lead end‑to‑end SDLC : requirements (functional & non‑functional), development, technical testing, release and production support
- Set and actively enforce engineering standards (code quality, reliability, secure‑by‑design) as a sustainable competitive advantage
- Mentor and upskill engineers; raise the bar for engineering excellence across teams
- Drive major procedural and technological change in a complex global organisation connecting the dots across domains
- Ingest, curate, centralise and optimise massive datasets ( 100TBs/day ) for high‑value cyber use cases
- Build and optimise reusable data assets and pipelines for large‑scale cybersecurity analytics
- Product ionise and optimise pipelines with a focus on cloud cost optimisation and data asset curation
- Use Databricks / Spark and advanced analytics to deliver actionable insights Cloud‑Native Analytics & AI/ML Enablement
- Design, deliver and maintain cloud‑native ML/analytics pipelines in Azure for real‑time detection and response
- Design pipelines to automate deployment of production models and automations to counter emerging threats
- Prototype, validate and scale new analytic techniques - turning research into production capability Cybersecurity Science & Rapid Response
- Conduct cybersecurity industry research and rapidly develop data‑driven prototypes for live operational problems
- Support mitigation of advanced criminal and nation‑state adversarial techniques
- Jump in on urgent vulnerabilities or emerging threats - making a difference when it matters most
- Work across cyber domains: network, endpoint, cloud security, cryptography, malware analysis, vulnerability assessment, PAM, anomaly/intrusion detection, incident response, offensive security
- Leverage key cyber data sources: EDR, firewall logs, proxy logs, vulnerability reports
- Partner with threat hunters, threat intelligence, vulnerability management and more to translate complex requirements into scalable solutions
- Lead architecture reviews, establish reusable patterns and drive consistency across business units
- Be part of a global community of Principal Engineers / Distinguished Engineers / Engineering Fellows , shaping standards and sharing best practice, This is a pure engineering leadership role : your influence comes from your technical vision, credibility and delivery - not from managing people. You'll work on problems where scale is real, stakes are high and outcomes protect customers and colleagues across the bank.
Ready to build what Cybersecurity runs on? If you want to combine full‑stack engineering , data engineering at extreme scale and cybersecurity science - and you're energised by solving hard problems with global impact - this is your seat at the table. Being open to different points of view is important for our business and the communities we…
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