Principal Engineer Cybersecurity Science & Analytics
Job Summary
Engineer and defend the digital backbone of one of the worlds largest global banks with real hands-on impact and zero management overhead
HSBC Technology builds and runs digital services that help millions of customers bank quickly simply and securely - on one of the largest and most complex technology estates in the industry. Cybersecurity is investing in a step-change in engineering capability and this role is central to making that real.
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 HSBCs cybersecurity capabilities. Were 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.
Youll leverage a multipetabyte data platform to reduce enterprise-wide security risk automate real-time advanced detections and protect critical financial applications used by millions worldwide.
What youll do (hands-on end-to-end)
Youll 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 (2500).
Core responsibilities
Software Engineering Leadership
- 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
Data Engineering at Scale
- 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
- Productionise 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
Cross-Organisational Influence
- 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
What youll bring
Proven track record as a Senior Staff / Principal / Senior Principal hands-on engineer (individual contributor)
- Strong software engineering fundamentals and excellent coding ability (repositories and technical reviews)
- Experience building and maintaining scalable cloud-based applications (Azure preferred)
- Experience with big data technologies (e.g. Databricks Spark)
- Ability to orchestrate and deliver complex change across teams and geographies
- Strong stakeholder management and the ability to explain complex engineering topics in an authoritative actionable way
- Growth mindset curiosity and a positive attitude to learning
- A strong STEM oriented background
Why this role is different
This is a pure engineering leadership role: your influence comes from your technical vision credibility and delivery - not from managing people. Youll 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 youre 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 serve. At HSBC were dedicated to creating diverse and inclusive workplaces - no matter their gender ethnicity disability religion sexual orientation or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities long term conditions or neurodivergent candidates who meet the minimum criteria for the role.
Ifyouhaveaneedthatrequiresaccommodationsor changes duringtherecruitmentprocess please get in touch with our Recruitment Helpdesk:
Required Experience:
Staff IC
Key Skills
About Company
HSBC Holdings plc is a British multinational investment bank and financial services holding company. It was the 7th largest bank in the world by 2018, and the largest in Europe, with total assets of US$2.558 trillion.