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Salary
≈ $94k – $167k per year (Estimated)
Location
In office (London)
Seniority
Staff

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 29, 2026. Campbell Global scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Campbell Global brings more than three decades of experience and leadership to sustainable timberland and natural resource investment management.

As a Product Security Engineer within the Consumer Banking Organization, you serve as a seasoned member of a team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behaviour. Carry out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions in support of the firm's business objectives.

We are building the next generation core banking platform that will operate at a global scale and will support hundreds of millions of accounts. We use cloud native technologies, and the work involves the development of micro-services, integrations, dashboards, production support tools and CI/CD pipelines.

Initially, successful candidates for the role will be seconded to a FinTech software partner. This is an exciting opportunity to experience the day to day of a fintech while being fully backed by JPMC. After the conclusion of the secondment, all secondees will return to JPMC and apply the knowledge, technologies and practices acquired and develop the critical services to support GBP’s worldwide journey to the cloud.

Job responsibilities:

  • Independently performs analysis and reports against security risks to protect data, applications, and infrastructure using modern tools

  • Uses enterprise-authorized AI capabilities within the work environment to accelerate threat modelling, control review analysis, and security documentation, validating outputs and handling data according to sensitivity and security requirements.

  • Conducts reviews on existing security controls with minimal oversight

  • Identifies gaps in network architecture and creates detailed documentation of threats and mitigations for software applications with few to no missing security threats

  • Applies reuse-first, AI-assisted patterns within SDLC/toolchain routines to improve security testing and control validation, ensuring traceability/auditability and alignment to resiliency and security expectations.

  • Executes security solutions design, development, and technical troubleshooting with the ability to apply knowledge of existing security solutions to satisfy security requirements for internal clients (e.g., product, platform, application owners)

  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

Required qualifications, capabilities, and skills:

  • Formal training or certification on cybersecurity architecture concepts and some years of applied experience

  • Experience creating cybersecurity solutions based on existing security parameters

  • Working knowledge of using enterprise-authorized AI capabilities within the work environment to support cybersecurity architecture workflows with strong validation habits and awareness of data sensitivity.

  • Ability to assess and validate AI-assisted security recommendations before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations.

  • Ability to evaluate current cybersecurity technologies to recommend ways to optimize architecture

  • Hands-on practical experience in system design, application development, testing and operational stability

  • Proficient in coding in languages - Go/Python

  • Strong working knowledge of information and network security, IT risk management, and architectural concepts and patterns

  • Knowledge of SDLC execution, including agile methods such as continuous integration/delivery, application resiliency, and security

  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., public cloud, AI/ML, mobile, etc.), including cloud technologies

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