# Principal Engineer - Cybersecurity Science & Analytics

**Company**: GCIO
**Location**: London
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Finance

**Apply**: https://portal.careers.hsbc.com/careers/job/563774610267826?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_772c474c-5e2

## Description

Engineer and defend the digital backbone of one of the world's 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 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 leverage a multi-petabyte data platform to reduce enterprise-wide security risk, automate real-time advanced detections and protect critical financial applications used by millions worldwide.

**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 you'll 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

## Skills

### Required
- Software Engineering
- Data Engineering
- Cloud-Native Analytics
- AI/ML
- Cybersecurity Science
- Databricks
- Spark
- Azure

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Source: [Apply at portal.careers.hsbc.com](https://portal.careers.hsbc.com/careers/job/563774610267826?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)