WORKING PATTERN: Hybrid, 40% (or two days) in the above office location
About this opportunity
We’re looking for an Engineering Lead to join our Prudential & Analytics Platform to drive delivery of our new Model Risk Management tool and lead the transformation of our commercial model monitoring capabilities. You’ll play a pivotal role in shaping our end‑to‑end engineering approach – modernising and scaling the platforms that underpin critical modelling, oversight, and regulatory processes across the Group.
This is a high‑impact leadership role where you will guide engineering teams, set technical direction, and build cloud‑native, automated, and resilient solutions using modern data, cloud, and DevOps technologies.
What you’ll do
You’ll oversee the engineering strategy and build‑out of a modern Model Risk Management platform – enabling model owners, reviewers, and governance teams to manage model lifecycle, documentation, controls, and oversight.
You’ll lead the redesign and automation of the commercial model monitoring solution, bringing modern cloud patterns, observability, and GCP native tooling into the heart of our analytics ecosystem.
- Provide hands‑on technical leadership to feature teams
- Guide architectural decisions, engineering standards, and cloud patterns
- Lead delivery planning, prioritisation, and alignment across teams and stakeholders
- Mentor engineers, championing high‑quality engineering practices
- Partner closely with Product, Data Science, Risk, and Architecture teams
- Drive automation, CI/CD, and best practice DevOps across delivery
- Ensure solutions are robust, compliant, and meet operational and regulatory expectations
What you’ll need
Significant engineering leadership experience in software/data engineering, with leadership responsibilities.
- Deep experience with Google Cloud Platform, ideally including: BigQuery, Cloud Composer, Cloud Storage, Logs Explorer, Data Catalog
- Strong experience building and leading development of model monitoring, analytical platforms, or data‑intensive workflows
- Proficiency in Python and SQL, with the ability to guide engineering standards
- Experience leading teams using dbt (Data Build Tool) for modelling and transformation
- Solid understanding of DevOps, CI/CD, automation, ideally using Harness
- Experience delivering solutions via Docker, Kubernetes, and modern orchestration patterns
- Background in building scalable, secure, and observable cloud capabilities
Any of the following would be great to see
- Experience working in regulated environments, model risk tooling, or governance workflows
- Knowledge of model lifecycle management, monitoring, validation, or model oversight
- Experience migrating complex legacy analytics systems into cloud‑native architectures
- Understanding of infrastructure‑as‑code (Terraform, Deployment Manager)
- Knowledge of distributed data systems or streaming architectures
- Experience leading distributed teams
About working for us
Our focus is to ensure we’re inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We’re disability‑confident and welcome applications from under‑represented groups.
Benefits
- A generous pension contribution of up to 15%
- An annual bonus award, subject to Group performance
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 30 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
Want to do amazing work that’s interesting and makes a difference to millions of people? Join our journey.
#J-18808-Ljbffr…